[github-copilot/openai] Add reasoning options

Merge pull request #2286 from anomalyco/fix/remove-glm-5.2-standard-apis
fix: remove GLM-5.2 from standard Z.AI APIs
2026-06-13 16:02:28 -05:00 · 2026-06-13 15:41:30 -05:00 · 2026-06-13 15:40:33 -05:00 · 2026-06-13 15:40:11 -05:00 · 2026-06-13 15:36:53 -05:00 · 2026-06-13 15:35:31 -05:00
3163 changed files with 30673 additions and 14431 deletions
@@ -0,0 +1,68 @@
+name: Close stale pull requests
+
+on:
+  schedule:
+    - cron: "17 3 * * *"
+  workflow_dispatch:
+
+permissions:
+  issues: write
+  pull-requests: write
+
+jobs:
+  close-stale-pull-requests:
+    runs-on: ubuntu-latest
+    steps:
+      - uses: actions/github-script@v8
+        env:
+          REVIEWER: rekram1-node
+        with:
+          script: |
+            const { owner, repo } = context.repo
+            const now = Date.now()
+            const weekAgo = now - 7 * 24 * 60 * 60 * 1000
+            const monthAgo = now - 30 * 24 * 60 * 60 * 1000
+
+            const pulls = await github.paginate(github.rest.pulls.list, {
+              owner,
+              repo,
+              state: "open",
+              per_page: 100,
+            })
+
+            const feedbackPulls = new Set()
+            for (const qualifier of ["commenter", "reviewed-by"]) {
+              const results = await github.paginate(
+                github.rest.search.issuesAndPullRequests,
+                {
+                  q: `repo:${owner}/${repo} is:pr is:open ${qualifier}:${process.env.REVIEWER}`,
+                  per_page: 100,
+                },
+              )
+
+              for (const result of results) feedbackPulls.add(result.number)
+            }
+
+            for (const pull of pulls) {
+              const updatedAt = Date.parse(pull.updated_at)
+              const monthStale = updatedAt < monthAgo
+              const feedbackStale = updatedAt < weekAgo && feedbackPulls.has(pull.number)
+              if (!monthStale && !feedbackStale) continue
+
+              const reason = monthStale
+                ? "it has not been updated in 30 days"
+                : `it has not been updated in 7 days after feedback from @${process.env.REVIEWER}`
+
+              await github.rest.issues.createComment({
+                owner,
+                repo,
+                issue_number: pull.number,
+                body: `Closing this pull request as stale because ${reason}. Feel free to reopen it or submit a new pull request if the work is resumed.`,
+              })
+              await github.rest.pulls.update({
+                owner,
+                repo,
+                pull_number: pull.number,
+                state: "closed",
+              })
+            }
@@ -10,6 +10,7 @@ concurrency: ${{ github.workflow }}-${{ github.ref }}

 jobs:
  deploy:
+    if: github.repository == 'anomalyco/models.dev'
    runs-on: ubuntu-latest
    steps:
      - name: Checkout code
@@ -14,6 +14,7 @@ concurrency: ${{ github.workflow }}-${{ github.ref }}

 jobs:
  providers:
+    if: github.repository == 'anomalyco/models.dev'
    runs-on: ubuntu-latest
    outputs:
      matrix: ${{ steps.providers.outputs.matrix }}
@@ -33,10 +34,13 @@ jobs:

      - name: List sync providers
        id: providers
-        run: echo "matrix=$(bun models:sync --list-providers)" >> "$GITHUB_OUTPUT"
+        run: |
+          matrix="$(bun models:sync --list-providers)"
+          echo "matrix=$matrix" >> "$GITHUB_OUTPUT"

  sync:
    needs: providers
+    if: github.repository == 'anomalyco/models.dev'
    runs-on: ubuntu-latest
    strategy:
      fail-fast: false
@@ -59,7 +63,9 @@ jobs:
      - name: Sync model catalogs
        run: bun models:sync ${{ matrix.provider }}
        env:
+          BASETEN_API_KEY: ${{ secrets.BASETEN_API_KEY }}
          OPENROUTER_API_KEY: ${{ secrets.OPENROUTER_API_KEY }}
+          VENICE_API_KEY: ${{ secrets.VENICE_API_KEY }}
          GOOGLE_API_KEY: ${{ secrets.GOOGLE_API_KEY }}
          GEMINI_API_KEY: ${{ secrets.GEMINI_API_KEY }}
          GOOGLE_GENERATIVE_AI_API_KEY: ${{ secrets.GOOGLE_GENERATIVE_AI_API_KEY }}
@@ -77,15 +83,16 @@ jobs:
          LABELS: automation,model-sync,provider:${{ matrix.provider }}
          TITLE: "chore(sync): update ${{ matrix.name }} model catalog"
        run: |
-          if [ -z "$(git status --porcelain -- providers)" ]; then
+          if [ -z "$(git status --porcelain -- models providers)" ]; then
            echo "No model catalog changes found."
            exit 0
          fi

          git config user.name "github-actions[bot]"
          git config user.email "41898282+github-actions[bot]@users.noreply.github.com"
+          git fetch --no-tags --depth=1 origin "+refs/heads/$BRANCH:refs/remotes/origin/$BRANCH" || true
          git checkout -B "$BRANCH"
-          git add providers
+          git add models providers
          git commit -m "$TITLE"
          git push --force-with-lease origin "$BRANCH"

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+    "node_modules/yaml": {
+      "version": "2.9.0",
+      "resolved": "https://registry.npmjs.org/yaml/-/yaml-2.9.0.tgz",
+      "integrity": "sha512-2AvhNX3mb8zd6Zy7INTtSpl1F15HW6Wnqj0srWlkKLcpYl/gMIMJiyuGq2KeI2YFxUPjdlB+3Lc10seMLtL4cA==",
+      "license": "ISC",
+      "bin": {
+        "yaml": "bin.mjs"
+      },
+      "engines": {
+        "node": ">= 14.6"
+      },
+      "funding": {
+        "url": "https://github.com/sponsors/eemeli"
+      }
+    },
+    "node_modules/zod": {
+      "version": "4.1.8",
+      "license": "MIT",
+      "funding": {
+        "url": "https://github.com/sponsors/colinhacks"
+      }
+    }
+  }
+}
@@ -31,26 +31,25 @@
 ## Model Configuration

 - Model `id` is **auto-injected** from filename (minus `.toml`) — never put `id` in TOML files
- Models may reuse another model's definition via `extends` (see below); otherwise the full definition must be present in the file
+- Provider models may reuse provider-agnostic facts from `models/` via `base_model`; otherwise the full provider model definition must be present in the file
 - Schema uses `.strict()` — extra fields cause validation errors

-### `[extends]` (inheritance between models)
- Syntax — a table at the top of the TOML:
+### Model metadata and `base_model`
+- Provider-agnostic model facts live under `models/<provider>/<model>.toml`
+- Provider TOMLs can inherit those facts with:
  ```toml
-  [extends]
-  from = "<provider-id>/<model-id>"   # required
-  omit = ["experimental.modes.fast"]  # optional, dot-path strings
+  base_model = "<provider-id>/<model-id>"
+  base_model_omit = ["limit.input"] # optional, dot-path strings
  ```
-  Example: `from = "anthropic/claude-opus-4-6"`
- Resolved at parse time in `generate()`; the final JSON output contains **no** `extends` field — it exists only to cut duplication in the TOMLs
+  Example: `base_model = "anthropic/claude-opus-4-6"`
+- Resolved at parse time in `generate()`; the final provider JSON output contains **no** `base_model` or `base_model_omit` fields
 - Merge semantics:
-  - Plain objects (`[cost]`, `[limit]`, `[modalities]`, `[provider]`, `[experimental]`, …) are **deep-merged**
+  - Plain objects from metadata and provider TOML (`[limit]`, `[modalities]`, …) are **deep-merged**
  - Arrays (e.g. `modalities.input`) and primitives are **replaced** wholesale by the child
-  - Any field the child omits is inherited verbatim from the base
- `omit` runs **after** the merge and deletes each dot-path from the result (used when the child needs to *remove* something the base defines, e.g. a provider-specific experimental mode). Every listed path must exist in the merged model, else an error is thrown. Ancestor tables that become empty as a result are also pruned, so `omit = ["experimental.modes.fast"]` yields no `experimental` key in the final JSON when `fast` was the only mode.
- Chains are allowed (A extends B extends C); cycles throw
- The base model must exist; `[extends.from]` pointing at a missing provider/model is an error
- The `extends` table is stripped before schema validation, so the merged result must still satisfy the strict `Model` schema
+  - Any provider field omitted is inherited verbatim from model metadata
+  - `cost`, `provider`, `experimental`, `reasoning_options`, `interleaved`, and `status` are provider-specific and must be declared in provider TOMLs when needed
+- `base_model_omit` runs **after** the merge and deletes each dot-path from the result. Missing paths are ignored. Ancestor tables that become empty as a result are also pruned.
+- The base model metadata file must exist; `base_model` pointing at a missing `models/` entry is an error

 ### Bedrock Naming Patterns
 - Dated models: `-v1:0` suffix (`anthropic.claude-3-5-sonnet-20241022-v1:0.toml`)
@@ -72,4 +71,4 @@
 | `attachment`, `reasoning`, `tool_call`, `open_weights` | Yes | Boolean capabilities |
 | `cost`, `limit`, `modalities` | Yes | Objects with their own required fields |
 | `family`, `knowledge`, `temperature`, `structured_output` | No | Optional metadata |
-| `status` | No | Use for `"alpha"`, `"beta"`, `"deprecated"` lifecycle |
+| `status` | No | Use for `"alpha"`, `"beta"`, `"deprecated"` lifecycle |
@@ -24,6 +24,18 @@ curl https://models.dev/api.json

 Use the **Model ID** field to do a lookup on any model; it's the identifier used by [AI SDK](https://ai-sdk.dev/).

+Provider-agnostic model metadata is available separately:
+
+```bash
+curl https://models.dev/models.json
+```
+
+Use this for facts about the model itself, independent of where it is served. If you need both provider endpoints and model-only metadata in one response:
+
+```bash
+curl https://models.dev/catalog.json
+```
+
 ### Logos

 Provider logos are available as SVG files:
@@ -40,7 +52,71 @@ The data is stored in the repo as TOML files; organized by provider and model. T

 We need your help keeping the data up to date.

-### Adding a New Model
+### Adding Model Metadata
+
+Model-only facts live in `models/`, using the same path-style IDs as provider models. For example, `models/openai/gpt-5.toml` defines metadata for the underlying GPT-5 model, while `providers/openai/models/gpt-5.toml` defines OpenAI-specific serving details such as pricing.
+
+Use model metadata for provider-agnostic facts:
+
+- `name`, `family`, `release_date`, `last_updated`, `knowledge`
+- `attachment`, `reasoning`, `tool_call`, `structured_output`, `temperature`
+- `[limit]` defaults like context, input, and output token limits
+- `[modalities]` defaults
+- `open_weights`, `license`, `links`, `weights`, and `benchmarks`
+
+Example:
+
+```toml
+name = "GPT-5"
+family = "gpt"
+release_date = "2025-08-07"
+last_updated = "2025-08-07"
+attachment = true
+reasoning = true
+temperature = false
+tool_call = true
+structured_output = true
+open_weights = false
+
+[limit]
+context = 400_000
+input = 272_000
+output = 128_000
+
+[modalities]
+input = ["text", "image"]
+output = ["text"]
+
+[[benchmarks]]
+name = "Benchmark Name"
+score = 72.5
+metric = "accuracy"
+source = "https://example.com/results"
+
+[[weights]]
+label = "Model weights"
+url = "https://huggingface.co/example/model"
+format = "safetensors"
+```
+
+Provider TOMLs can inherit these facts with `base_model` and then keep only provider-specific fields or overrides:
+
+```toml
+base_model = "openai/gpt-5"
+
+[cost]
+input = 1.25
+output = 10.00
+cache_read = 0.125
+
+[limit]
+context = 200_000 # optional provider override
+output = 32_000
+```
+
+Provider fields win over model metadata during generation. Use this when the underlying model is the same but a provider serves it with different context limits, modalities, features, or pricing.
+
+### Adding a New Provider Model

 To add a new model, start by checking if the provider already exists in the `providers/` directory. If not, then:

@@ -120,30 +196,31 @@ output = ["text"]           # Supported output modalities
 field = "reasoning_content" # Name of the interleaved field "reasoning_content" or "reasoning_details"
 ```

-#### 3a. Reuse an Existing Model with `extends`
+#### 3a. Reuse Model Metadata with `base_model`

-For wrapper providers that mirror a model from another provider, prefer reusing the canonical model definition instead of duplicating the whole file.
+For wrapper providers that mirror an existing model, prefer referencing the model-only metadata instead of duplicating provider-agnostic fields.

-Use `extends` only for non-first-party wrappers and mirrors. Do not use it inside the actual lab provider directories that act as the canonical source for a model family, for example `providers/anthropic/`, `providers/openai/`, `providers/google/`, `providers/xai/`, `providers/minimax/`, or `providers/moonshot/`.
+Use `base_model` when the provider serves the same underlying model and only provider-specific fields differ.

 ```toml
-[extends]
-from = "anthropic/claude-opus-4-6"
-omit = ["experimental.modes.fast"]
+base_model = "anthropic/claude-opus-4-6"

-[provider]
-npm = "@ai-sdk/anthropic"
+[cost]
+input = 5.00
+output = 25.00
 ```

 Rules:

- `from` must point to another model using `<provider>/<model-id>`.
- `omit` is optional and removes fields after the inherited model and local overrides are merged.
+- `base_model` must point to a TOML file in `models/` using `<provider>/<model-id>`.
 - You can override any top-level model field locally.
 - If you override a nested table like `[cost]`, `[limit]`, or `[modalities]`, include the full values needed for that table.
+- `base_model_omit` is optional and removes inherited model metadata fields after local overrides are merged. Use dot-path strings, for example `base_model_omit = ["limit.input"]`.
 - `id` still comes from the filename; do not add it to the TOML.

-Use `extends` when the wrapper model is materially the same as the source model and only differs by a small set of overrides or omitted fields.
+Use `base_model` when the wrapper model is materially the same as the source model and only differs by provider-specific pricing, limits, modalities, provider request shape, or lifecycle flags.
+
+Sync and generator scripts should preserve existing `base_model` / `base_model_omit` fields when updating provider TOMLs. Do not use legacy `[extends]` tables.

 #### 4. Submit a Pull Request

@@ -161,7 +238,7 @@ There's a GitHub Action that will automatically validate your submission against
 - Values are within acceptable ranges
 - TOML syntax is valid

-When converting existing wrapper models to `extends`, compare generated output before and after the change:
+When moving existing provider fields into model metadata, compare generated output before and after the change:

 ```bash
 bun run compare:migrations
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+</svg>
@@ -0,0 +1,5 @@
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+</svg>
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+last_updated = "2025-08-15"
+attachment = false
+reasoning = false
+temperature = true
+tool_call = true
+knowledge = "2024-04"
+open_weights = false
+
+[limit]
+context = 131_072
+output = 8_192
+
+[modalities]
+input = ["text", "image"]
+output = ["text"]
@@ -0,0 +1,22 @@
+name = "Qwen2.5-VL 72B Instruct"
+family = "qwen"
+release_date = "2024-09"
+last_updated = "2024-09"
+attachment = false
+reasoning = false
+temperature = true
+tool_call = true
+knowledge = "2024-04"
+open_weights = true
+
+[limit]
+context = 131_072
+output = 8_192
+
+[modalities]
+input = ["text", "image"]
+output = ["text"]
+
+[[weights]]
+label = "Hugging Face"
+url = "https://huggingface.co/Qwen/Qwen2.5-VL-72B-Instruct"
@@ -0,0 +1,36 @@
+name = "Qwen3 235B-A22B"
+family = "qwen"
+release_date = "2025-04"
+last_updated = "2025-04"
+attachment = false
+reasoning = true
+temperature = true
+tool_call = true
+knowledge = "2025-04"
+open_weights = true
+
+[limit]
+context = 131_072
+output = 16_384
+
+[modalities]
+input = ["text"]
+output = ["text"]
+
+[[weights]]
+label = "Hugging Face"
+url = "https://huggingface.co/Qwen/Qwen3-235B-A22B"
+
+[[benchmarks]]
+name = "Aider Polyglot"
+score = 59.6
+metric = "percent correct"
+source = "https://aider.chat/docs/leaderboards/"
+date = "2025-05-09"
+
+[[benchmarks]]
+name = "SWE-Bench Pro"
+score = 21.41
+metric = "resolve rate"
+dataset = "public"
+source = "https://labs.scale.com/leaderboard/swe_bench_pro_public"
@@ -0,0 +1,29 @@
+name = "Qwen3 32B"
+family = "qwen"
+release_date = "2025-04"
+last_updated = "2025-04"
+attachment = false
+reasoning = true
+temperature = true
+tool_call = true
+knowledge = "2025-04"
+open_weights = true
+
+[limit]
+context = 131_072
+output = 16_384
+
+[modalities]
+input = ["text"]
+output = ["text"]
+
+[[weights]]
+label = "Hugging Face"
+url = "https://huggingface.co/Qwen/Qwen3-32B"
+
+[[benchmarks]]
+name = "Aider Polyglot"
+score = 40.0
+metric = "percent correct"
+source = "https://aider.chat/docs/leaderboards/"
+date = "2025-05-08"
@@ -0,0 +1,43 @@
+name = "Qwen3-Coder 30B-A3B Instruct"
+family = "qwen"
+release_date = "2025-04"
+last_updated = "2025-04"
+attachment = false
+reasoning = false
+temperature = true
+tool_call = true
+knowledge = "2025-04"
+open_weights = true
+
+[limit]
+context = 262_144
+output = 65_536
+
+[modalities]
+input = ["text"]
+output = ["text"]
+
+[[weights]]
+label = "Hugging Face"
+url = "https://huggingface.co/Qwen/Qwen3-Coder-30B-A3B-Instruct"
+
+[[benchmarks]]
+name = "Artificial Analysis Coding Index"
+score = 19.4
+metric = "index"
+source = "https://openrouter.ai/qwen/qwen3-coder-30b-a3b-instruct/benchmarks"
+date = "2026-06-02"
+
+[[benchmarks]]
+name = "SciCode"
+score = 27.8
+metric = "percent correct"
+source = "https://openrouter.ai/qwen/qwen3-coder-30b-a3b-instruct/benchmarks"
+date = "2026-06-02"
+
+[[benchmarks]]
+name = "Terminal-Bench Hard"
+score = 15.2
+metric = "success rate"
+source = "https://openrouter.ai/qwen/qwen3-coder-30b-a3b-instruct/benchmarks"
+date = "2026-06-02"
@@ -0,0 +1,29 @@
+name = "Qwen3-Coder 480B-A35B Instruct"
+family = "qwen"
+release_date = "2025-04"
+last_updated = "2025-04"
+attachment = false
+reasoning = false
+temperature = true
+tool_call = true
+knowledge = "2025-04"
+open_weights = true
+
+[limit]
+context = 262_144
+output = 65_536
+
+[modalities]
+input = ["text"]
+output = ["text"]
+
+[[weights]]
+label = "Hugging Face"
+url = "https://huggingface.co/Qwen/Qwen3-Coder-480B-A35B-Instruct"
+
+[[benchmarks]]
+name = "SWE-Bench Pro"
+score = 38.7
+metric = "resolve rate"
+dataset = "public"
+source = "https://labs.scale.com/leaderboard/swe_bench_pro_public"
@@ -1,19 +1,16 @@
-name = "GLM 4.5 Air Derestricted Steam"
+name = "Qwen3 Coder Flash"
+family = "qwen"
 release_date = "2025-07-28"
 last_updated = "2025-07-28"
 attachment = false
 reasoning = false
-tool_call = false
-structured_output = false
+temperature = true
+tool_call = true
+knowledge = "2025-04"
 open_weights = false

-[cost]
-input = 0.306
-output = 0.306
-
 [limit]
-context = 220_600
-input = 220_600
+context = 1_000_000
 output = 65_536

 [modalities]
@@ -1,22 +1,18 @@
-name = "Qwen3 Coder 480B A35B Instruct"
+name = "Qwen3 Coder Plus"
 family = "qwen"
 release_date = "2025-07-23"
 last_updated = "2025-07-23"
 attachment = false
 reasoning = false
 temperature = true
-knowledge = "2025-04"
 tool_call = true
-open_weights = true
-
-[cost]
-input = 0.4
-output = 1.6
+knowledge = "2025-04"
+open_weights = false

 [limit]
-context = 262_144
-output = 66_536
+context = 1_048_576
+output = 65_536

 [modalities]
 input = ["text"]
-output = ["text"]
+output = ["text"]
@@ -0,0 +1,39 @@
+name = "Qwen3 Max"
+family = "qwen"
+release_date = "2025-09-23"
+last_updated = "2025-09-23"
+attachment = false
+reasoning = false
+temperature = true
+tool_call = true
+knowledge = "2025-04"
+open_weights = false
+
+[limit]
+context = 262_144
+output = 65_536
+
+[modalities]
+input = ["text"]
+output = ["text"]
+
+[[benchmarks]]
+name = "Artificial Analysis Coding Index"
+score = 26.4
+metric = "index"
+source = "https://openrouter.ai/qwen/qwen3-max/benchmarks"
+date = "2026-05-30"
+
+[[benchmarks]]
+name = "SciCode"
+score = 38.3
+metric = "percent correct"
+source = "https://openrouter.ai/qwen/qwen3-max/benchmarks"
+date = "2026-05-30"
+
+[[benchmarks]]
+name = "Terminal-Bench Hard"
+score = 20.5
+metric = "success rate"
+source = "https://openrouter.ai/qwen/qwen3-max/benchmarks"
+date = "2026-05-30"
@@ -0,0 +1,22 @@
+name = "Qwen3-Next 80B-A3B Instruct"
+family = "qwen"
+release_date = "2025-09"
+last_updated = "2025-09"
+attachment = false
+reasoning = false
+temperature = true
+tool_call = true
+knowledge = "2025-04"
+open_weights = true
+
+[limit]
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+output = 32_768
+
+[modalities]
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+output = ["text"]
+
+[[weights]]
+label = "Hugging Face"
+url = "https://huggingface.co/Qwen/Qwen3-Next-80B-A3B-Instruct"
@@ -0,0 +1,22 @@
+name = "Qwen3-Next 80B-A3B (Thinking)"
+family = "qwen"
+release_date = "2025-09"
+last_updated = "2025-09"
+attachment = false
+reasoning = true
+temperature = true
+tool_call = true
+knowledge = "2025-04"
+open_weights = true
+
+[limit]
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+output = 32_768
+
+[modalities]
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+output = ["text"]
+
+[[weights]]
+label = "Hugging Face"
+url = "https://huggingface.co/Qwen/Qwen3-Next-80B-A3B-Thinking"
@@ -1,22 +1,18 @@
-name = "LongCat Flash Thinking"
-family = "longcat"
+name = "Qwen3-VL Plus"
+family = "qwen"
 release_date = "2025-09-23"
 last_updated = "2025-09-23"
 attachment = false
 reasoning = true
 temperature = true
 tool_call = true
+knowledge = "2025-04"
 open_weights = false
-knowledge = "2024-10"
-
-[cost]
-input = 0.15
-output = 1.5

 [limit]
-context = 128000
-output = 8192
+context = 262_144
+output = 32_768

 [modalities]
-input = ["text"]
+input = ["text", "image"]
 output = ["text"]
@@ -0,0 +1,28 @@
+name = "Qwen3.5 122B-A10B"
+family = "qwen"
+release_date = "2026-02-23"
+last_updated = "2026-02-23"
+attachment = true
+reasoning = true
+temperature = true
+tool_call = true
+structured_output = true
+open_weights = true
+
+[limit]
+context = 262_144
+output = 65_536
+
+[modalities]
+input = ["text", "image", "video", "audio"]
+output = ["text"]
+
+[[weights]]
+label = "Hugging Face"
+url = "https://huggingface.co/Qwen/Qwen3.5-122B-A10B"
+
+[[benchmarks]]
+name = "SWE-Bench Verified"
+score = 72
+metric = "resolved"
+source = "https://huggingface.co/Qwen/Qwen3.5-122B-A10B"
@@ -0,0 +1,28 @@
+name = "Qwen3.5 27B"
+family = "qwen"
+release_date = "2026-02-23"
+last_updated = "2026-02-23"
+attachment = true
+reasoning = true
+temperature = true
+tool_call = true
+structured_output = true
+open_weights = true
+
+[limit]
+context = 262_144
+output = 65_536
+
+[modalities]
+input = ["text", "image", "video", "audio"]
+output = ["text"]
+
+[[weights]]
+label = "Hugging Face"
+url = "https://huggingface.co/Qwen/Qwen3.5-27B"
+
+[[benchmarks]]
+name = "SWE-Bench Verified"
+score = 72.4
+metric = "resolved"
+source = "https://huggingface.co/Qwen/Qwen3.5-27B"
@@ -0,0 +1,22 @@
+name = "Qwen3.5 35B-A3B"
+family = "qwen"
+release_date = "2026-02-23"
+last_updated = "2026-02-23"
+attachment = true
+reasoning = true
+temperature = true
+tool_call = true
+structured_output = true
+open_weights = true
+
+[limit]
+context = 262_144
+output = 65_536
+
+[modalities]
+input = ["text", "image", "video", "audio"]
+output = ["text"]
+
+[[weights]]
+label = "Hugging Face"
+url = "https://huggingface.co/Qwen/Qwen3.5-35B-A3B"
@@ -0,0 +1,28 @@
+name = "Qwen3.5 397B-A17B"
+family = "qwen"
+release_date = "2026-02-15"
+last_updated = "2026-02-15"
+attachment = true
+reasoning = true
+temperature = true
+tool_call = true
+structured_output = true
+open_weights = true
+
+[limit]
+context = 262_144
+output = 65_536
+
+[modalities]
+input = ["text", "image", "video", "audio"]
+output = ["text"]
+
+[[weights]]
+label = "Hugging Face"
+url = "https://huggingface.co/Qwen/Qwen3.5-397B-A17B"
+
+[[benchmarks]]
+name = "SWE-Bench Verified"
+score = 76.4
+metric = "resolved"
+source = "https://huggingface.co/Qwen/Qwen3.5-397B-A17B"
@@ -0,0 +1,18 @@
+name = "Qwen3.5 Plus"
+family = "qwen"
+release_date = "2026-02-16"
+last_updated = "2026-02-16"
+attachment = false
+reasoning = true
+temperature = true
+tool_call = true
+knowledge = "2025-04"
+open_weights = false
+
+[limit]
+context = 1_000_000
+output = 65_536
+
+[modalities]
+input = ["text", "image", "video"]
+output = ["text"]
@@ -0,0 +1,28 @@
+name = "Qwen3.6 27B"
+family = "qwen"
+release_date = "2026-04-22"
+last_updated = "2026-04-22"
+attachment = true
+reasoning = true
+temperature = true
+tool_call = true
+structured_output = true
+open_weights = true
+
+[limit]
+context = 262_144
+output = 65_536
+
+[modalities]
+input = ["text", "image", "video", "audio"]
+output = ["text"]
+
+[[weights]]
+label = "Hugging Face"
+url = "https://huggingface.co/Qwen/Qwen3.6-27B"
+
+[[benchmarks]]
+name = "SWE-Bench Verified"
+score = 77.2
+metric = "resolved"
+source = "https://huggingface.co/Qwen/Qwen3.6-27B"
@@ -0,0 +1,28 @@
+name = "Qwen3.6 35B-A3B"
+family = "qwen"
+release_date = "2026-04-17"
+last_updated = "2026-04-17"
+attachment = true
+reasoning = true
+temperature = true
+tool_call = true
+structured_output = true
+open_weights = true
+
+[limit]
+context = 262_144
+output = 65_536
+
+[modalities]
+input = ["text", "image", "video", "audio"]
+output = ["text"]
+
+[[weights]]
+label = "Hugging Face"
+url = "https://huggingface.co/Qwen/Qwen3.6-35B-A3B"
+
+[[benchmarks]]
+name = "SWE-Bench Verified"
+score = 73.4
+metric = "resolved"
+source = "https://huggingface.co/Qwen/Qwen3.6-35B-A3B"
@@ -0,0 +1,18 @@
+name = "Qwen3.6 Flash"
+family = "qwen3.6"
+release_date = "2026-04-27"
+last_updated = "2026-04-27"
+attachment = true
+reasoning = true
+temperature = true
+tool_call = true
+structured_output = true
+open_weights = false
+
+[limit]
+context = 1_000_000
+output = 65_536
+
+[modalities]
+input = ["text", "image", "video"]
+output = ["text"]
@@ -0,0 +1,18 @@
+name = "Qwen3.6 Max Preview"
+family = "qwen"
+release_date = "2026-04-20"
+last_updated = "2026-04-20"
+attachment = false
+reasoning = true
+temperature = true
+tool_call = true
+knowledge = "2025-04"
+open_weights = false
+
+[limit]
+context = 262_144
+output = 65_536
+
+[modalities]
+input = ["text"]
+output = ["text"]
@@ -0,0 +1,18 @@
+name = "Qwen3.6 Plus"
+family = "qwen"
+release_date = "2026-04-02"
+last_updated = "2026-04-02"
+attachment = false
+reasoning = true
+temperature = true
+tool_call = true
+knowledge = "2025-04"
+open_weights = false
+
+[limit]
+context = 1_000_000
+output = 65_536
+
+[modalities]
+input = ["text", "image", "video"]
+output = ["text"]
@@ -0,0 +1,17 @@
+name = "Qwen3.7 Max"
+family = "qwen"
+release_date = "2026-05-21"
+last_updated = "2026-05-21"
+attachment = false
+reasoning = true
+temperature = true
+tool_call = true
+open_weights = false
+
+[limit]
+context = 1_000_000
+output = 65_536
+
+[modalities]
+input = ["text"]
+output = ["text"]
@@ -0,0 +1,18 @@
+name = "Qwen3.7 Plus"
+family = "qwen"
+release_date = "2026-06-02"
+last_updated = "2026-06-02"
+attachment = false
+reasoning = true
+temperature = true
+tool_call = true
+knowledge = "2025-04"
+open_weights = false
+
+[limit]
+context = 1_000_000
+output = 64_000
+
+[modalities]
+input = ["text", "image"]
+output = ["text"]
@@ -0,0 +1,18 @@
+name = "QwQ Plus"
+family = "qwen"
+release_date = "2025-03-05"
+last_updated = "2025-03-05"
+attachment = false
+reasoning = true
+temperature = true
+tool_call = true
+knowledge = "2024-04"
+open_weights = false
+
+[limit]
+context = 131_072
+output = 8_192
+
+[modalities]
+input = ["text"]
+output = ["text"]
@@ -0,0 +1,25 @@
+name = "Claude Haiku 3.5"
+family = "claude-haiku"
+release_date = "2024-10-22"
+last_updated = "2024-10-22"
+attachment = true
+reasoning = false
+temperature = true
+tool_call = true
+knowledge = "2024-07-31"
+open_weights = false
+
+[limit]
+context = 200_000
+output = 8_192
+
+[modalities]
+input = ["text", "image", "pdf"]
+output = ["text"]
+
+[[benchmarks]]
+name = "Aider Polyglot"
+score = 28.0
+metric = "percent correct"
+source = "https://aider.chat/docs/leaderboards/"
+date = "2024-12-21"
@@ -0,0 +1,25 @@
+name = "Claude Sonnet 3.5 v2"
+family = "claude-sonnet"
+release_date = "2024-10-22"
+last_updated = "2024-10-22"
+attachment = true
+reasoning = false
+temperature = true
+tool_call = true
+knowledge = "2024-04-30"
+open_weights = false
+
+[limit]
+context = 200_000
+output = 8_192
+
+[modalities]
+input = ["text", "image", "pdf"]
+output = ["text"]
+
+[[benchmarks]]
+name = "Aider Polyglot"
+score = 51.6
+metric = "percent correct"
+source = "https://aider.chat/docs/leaderboards/"
+date = "2025-01-17"
@@ -0,0 +1,25 @@
+name = "Claude Sonnet 3.7"
+family = "claude-sonnet"
+release_date = "2025-02-19"
+last_updated = "2025-02-19"
+attachment = true
+reasoning = true
+temperature = true
+tool_call = true
+knowledge = "2024-10-31"
+open_weights = false
+
+[limit]
+context = 200_000
+output = 64_000
+
+[modalities]
+input = ["text", "image", "pdf"]
+output = ["text"]
+
+[[benchmarks]]
+name = "Aider Polyglot"
+score = 64.9
+metric = "percent correct"
+source = "https://aider.chat/docs/leaderboards/"
+date = "2025-02-24"
@@ -0,0 +1,18 @@
+name = "Claude Fable 5"
+family = "claude-fable"
+release_date = "2026-06-09"
+last_updated = "2026-06-09"
+attachment = true
+reasoning = true
+temperature = false
+tool_call = true
+open_weights = false
+knowledge = "2026-01-31"
+
+[limit]
+context = 1_000_000
+output = 128_000
+
+[modalities]
+input = ["text", "image", "pdf"]
+output = ["text"]
@@ -1,19 +1,16 @@
-name = "Claude 3.7 Sonnet Thinking (8K)"
-release_date = "2025-02-24"
-last_updated = "2025-02-24"
+name = "Claude Haiku 4.5"
+family = "claude-haiku"
+release_date = "2025-10-15"
+last_updated = "2025-10-15"
 attachment = true
 reasoning = true
+temperature = true
 tool_call = true
-structured_output = true
+knowledge = "2025-02-28"
 open_weights = false

-[cost]
-input = 2.992
-output = 14.994
-
 [limit]
 context = 200_000
-input = 200_000
 output = 64_000

 [modalities]
@@ -0,0 +1,25 @@
+name = "Claude Haiku 4.5 (latest)"
+family = "claude-haiku"
+release_date = "2025-10-15"
+last_updated = "2025-10-15"
+attachment = true
+reasoning = true
+temperature = true
+tool_call = true
+knowledge = "2025-02-28"
+open_weights = false
+
+[limit]
+context = 200_000
+output = 64_000
+
+[modalities]
+input = ["text", "image", "pdf"]
+output = ["text"]
+
+[[benchmarks]]
+name = "SWE-Bench Pro"
+score = 39.45
+metric = "resolve rate"
+dataset = "public"
+source = "https://labs.scale.com/leaderboard/swe_bench_pro_public"
@@ -0,0 +1,25 @@
+name = "Claude Opus 4 (latest)"
+family = "claude-opus"
+release_date = "2025-05-22"
+last_updated = "2025-05-22"
+attachment = true
+reasoning = true
+temperature = true
+tool_call = true
+knowledge = "2025-03-31"
+open_weights = false
+
+[limit]
+context = 200_000
+output = 32_000
+
+[modalities]
+input = ["text", "image", "pdf"]
+output = ["text"]
+
+[[benchmarks]]
+name = "Aider Polyglot"
+score = 72.0
+metric = "percent correct"
+source = "https://aider.chat/docs/leaderboards/"
+date = "2025-05-25"
@@ -1,23 +1,18 @@
 name = "Claude Opus 4.1"
 family = "claude-opus"
-status = "deprecated"
 release_date = "2025-08-05"
 last_updated = "2025-08-05"
 attachment = true
 reasoning = true
 temperature = true
-tool_call = false
+tool_call = true
 knowledge = "2025-03-31"
 open_weights = false

-[cost]
-input = 0
-output = 0
-
 [limit]
-context = 80_000
-output = 16_000
+context = 200_000
+output = 32_000

 [modalities]
-input = ["text", "image"]
+input = ["text", "image", "pdf"]
 output = ["text"]
@@ -1,22 +1,18 @@
-name = "Claude Opus 4"
+name = "Claude Opus 4.1 (latest)"
 family = "claude-opus"
-release_date = "2025-06-12"
-last_updated = "2025-06-12"
+release_date = "2025-08-05"
+last_updated = "2025-08-05"
 attachment = true
 reasoning = true
 temperature = true
-knowledge = "2025-03-31"
 tool_call = true
+knowledge = "2025-03-31"
 open_weights = false

-[cost]
-input = 16.5
-output = 82.5
-
 [limit]
 context = 200_000
 output = 32_000

 [modalities]
-input = ["text", "image"]
+input = ["text", "image", "pdf"]
 output = ["text"]
@@ -0,0 +1,25 @@
+name = "Claude Opus 4"
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@@ -1,19 +1,16 @@
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 [limit]
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 [modalities]
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@@ -1,19 +1,16 @@
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-[cost]
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 [limit]
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 [modalities]
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+source = "https://huggingface.co/deepseek-ai/DeepSeek-V4-Pro"
+
+[[benchmarks]]
+name = "Artificial Analysis Coding Agent Index"
+score = 50.1
+metric = "average pass@1"
+harness = "Claude Code"
+variant = "high"
+source = "https://artificialanalysis.ai/agents/coding-agents"
+
+[[benchmarks]]
+name = "SWE-Atlas Codebase QnA"
+score = 67.8
+metric = "pass@1"
+harness = "Claude Code"
+variant = "high"
+source = "https://artificialanalysis.ai/agents/coding-agents"
+
+[[benchmarks]]
+name = "SWE-Bench Pro"
+score = 18
+metric = "pass@1"
+harness = "Claude Code"
+variant = "high"
+dataset = "hard-aa"
+source = "https://artificialanalysis.ai/agents/coding-agents"
+
+[[benchmarks]]
+name = "Terminal-Bench"
+score = 64.7
+metric = "pass@1"
+harness = "Claude Code"
+variant = "high"
+version = "2.1"
+source = "https://artificialanalysis.ai/agents/coding-agents"
@@ -0,0 +1,19 @@
+name = "Gemini 2.0 Flash-Lite"
+family = "gemini-flash-lite"
+release_date = "2024-12-11"
+last_updated = "2024-12-11"
+attachment = true
+reasoning = false
+temperature = true
+tool_call = true
+structured_output = true
+knowledge = "2024-06"
+open_weights = false
+
+[limit]
+context = 1_048_576
+output = 8_192
+
+[modalities]
+input = ["text", "image", "audio", "video", "pdf"]
+output = ["text"]
@@ -5,15 +5,11 @@ last_updated = "2024-12-11"
 attachment = true
 reasoning = false
 temperature = true
-knowledge = "2024-06"
 tool_call = true
+structured_output = true
+knowledge = "2024-06"
 open_weights = false

-[cost]
-input = 0.15
-output = 0.60
-cache_read = 0.025
-
 [limit]
 context = 1_048_576
 output = 8_192
@@ -0,0 +1,18 @@
+name = "Nano Banana"
+family = "gemini-flash"
+release_date = "2025-08-26"
+last_updated = "2025-08-26"
+attachment = true
+reasoning = true
+temperature = true
+tool_call = false
+knowledge = "2025-06"
+open_weights = false
+
+[limit]
+context = 32_768
+output = 32_768
+
+[modalities]
+input = ["text", "image"]
+output = ["text", "image"]
@@ -0,0 +1,40 @@
+name = "Gemini 2.5 Flash-Lite"
+family = "gemini-flash-lite"
+release_date = "2025-06-17"
+last_updated = "2025-06-17"
+attachment = true
+reasoning = true
+temperature = true
+tool_call = true
+structured_output = true
+knowledge = "2025-01"
+open_weights = false
+
+[limit]
+context = 1_048_576
+output = 65_536
+
+[modalities]
+input = ["text", "image", "audio", "video", "pdf"]
+output = ["text"]
+
+[[benchmarks]]
+name = "Artificial Analysis Coding Index"
+score = 9.5
+metric = "index"
+source = "https://openrouter.ai/google/gemini-2.5-flash-lite/benchmarks"
+date = "2026-03-11"
+
+[[benchmarks]]
+name = "SciCode"
+score = 19.3
+metric = "percent correct"
+source = "https://openrouter.ai/google/gemini-2.5-flash-lite/benchmarks"
+date = "2026-03-11"
+
+[[benchmarks]]
+name = "Terminal-Bench Hard"
+score = 4.5
+metric = "success rate"
+source = "https://openrouter.ai/google/gemini-2.5-flash-lite/benchmarks"
+date = "2026-03-11"
@@ -0,0 +1,18 @@
+name = "Gemini 2.5 Flash TTS"
+family = "gemini-flash"
+release_date = "2025-09-30"
+last_updated = "2025-12-10"
+attachment = false
+reasoning = false
+temperature = true
+tool_call = false
+knowledge = "2025-01"
+open_weights = false
+
+[limit]
+context = 32_768
+output = 16_384
+
+[modalities]
+input = ["text"]
+output = ["audio"]
@@ -0,0 +1,47 @@
+name = "Gemini 2.5 Flash"
+family = "gemini-flash"
+release_date = "2025-06-17"
+last_updated = "2025-06-17"
+attachment = true
+reasoning = true
+temperature = true
+tool_call = true
+structured_output = true
+knowledge = "2025-01"
+open_weights = false
+
+[limit]
+context = 1_048_576
+output = 65_536
+
+[modalities]
+input = ["text", "image", "audio", "video", "pdf"]
+output = ["text"]
+
+[[benchmarks]]
+name = "Aider Polyglot"
+score = 55.1
+metric = "percent correct"
+source = "https://aider.chat/docs/leaderboards/"
+date = "2025-05-25"
+
+[[benchmarks]]
+name = "Artificial Analysis Coding Index"
+score = 22.2
+metric = "index"
+source = "https://openrouter.ai/google/gemini-2.5-flash/benchmarks"
+date = "2026-06-02"
+
+[[benchmarks]]
+name = "SciCode"
+score = 39.4
+metric = "percent correct"
+source = "https://openrouter.ai/google/gemini-2.5-flash/benchmarks"
+date = "2026-06-02"
+
+[[benchmarks]]
+name = "Terminal-Bench Hard"
+score = 13.6
+metric = "success rate"
+source = "https://openrouter.ai/google/gemini-2.5-flash/benchmarks"
+date = "2026-06-02"
@@ -0,0 +1,18 @@
+name = "Gemini 2.5 Pro TTS"
+family = "gemini-pro"
+release_date = "2025-09-30"
+last_updated = "2025-12-10"
+attachment = false
+reasoning = false
+temperature = false
+tool_call = false
+knowledge = "2025-01"
+open_weights = false
+
+[limit]
+context = 32_768
+output = 16_384
+
+[modalities]
+input = ["text"]
+output = ["audio"]
@@ -0,0 +1,47 @@
+name = "Gemini 2.5 Pro"
+family = "gemini-pro"
+release_date = "2025-06-17"
+last_updated = "2025-06-17"
+attachment = true
+reasoning = true
+temperature = true
+tool_call = true
+structured_output = true
+knowledge = "2025-01"
+open_weights = false
+
+[limit]
+context = 1_048_576
+output = 65_536
+
+[modalities]
+input = ["text", "image", "audio", "video", "pdf"]
+output = ["text"]
+
+[[benchmarks]]
+name = "Aider Polyglot"
+score = 83.1
+metric = "percent correct"
+source = "https://aider.chat/docs/leaderboards/"
+date = "2025-06-06"
+
+[[benchmarks]]
+name = "Artificial Analysis Coding Index"
+score = 32
+metric = "index"
+source = "https://openrouter.ai/google/gemini-2.5-pro/benchmarks"
+date = "2026-06-02"
+
+[[benchmarks]]
+name = "SciCode"
+score = 42.8
+metric = "percent correct"
+source = "https://openrouter.ai/google/gemini-2.5-pro/benchmarks"
+date = "2026-06-02"
+
+[[benchmarks]]
+name = "Terminal-Bench Hard"
+score = 26.5
+metric = "success rate"
+source = "https://openrouter.ai/google/gemini-2.5-pro/benchmarks"
+date = "2026-06-02"
@@ -0,0 +1,47 @@
+name = "Gemini 3 Flash Preview"
+family = "gemini-flash"
+release_date = "2025-12-17"
+last_updated = "2025-12-17"
+attachment = true
+reasoning = true
+temperature = true
+tool_call = true
+structured_output = true
+knowledge = "2025-01"
+open_weights = false
+
+[limit]
+context = 1_048_576
+output = 65_536
+
+[modalities]
+input = ["text", "image", "video", "audio", "pdf"]
+output = ["text"]
+
+[[benchmarks]]
+name = "SWE-Bench Pro"
+score = 34.63
+metric = "resolve rate"
+dataset = "public"
+source = "https://labs.scale.com/leaderboard/swe_bench_pro_public"
+
+[[benchmarks]]
+name = "SWE-Atlas Codebase QnA"
+score = 8.2
+metric = "score"
+harness = "Mini-SWE-Agent"
+source = "https://labs.scale.com/leaderboard/sweatlas-qna"
+
+[[benchmarks]]
+name = "SWE-Atlas Refactoring"
+score = 10
+metric = "score"
+harness = "Mini-SWE-Agent"
+source = "https://labs.scale.com/leaderboard/sweatlas-refactoring"
+
+[[benchmarks]]
+name = "SWE-Atlas Test Writing"
+score = 30.3
+metric = "score"
+harness = "Mini-SWE-Agent"
+source = "https://labs.scale.com/leaderboard/sweatlas-tw"
@@ -0,0 +1,18 @@
+name = "Nano Banana Pro"
+family = "gemini-pro"
+release_date = "2025-11-20"
+last_updated = "2025-11-20"
+attachment = true
+reasoning = true
+temperature = true
+tool_call = false
+knowledge = "2025-01"
+open_weights = false
+
+[limit]
+context = 65_536
+output = 32_768
+
+[modalities]
+input = ["text", "image"]
+output = ["text", "image"]
@@ -10,17 +10,6 @@ structured_output = true
 knowledge = "2025-01"
 open_weights = false

-[cost]
-input = 2.00
-output = 12.00
-cache_read = 0.20
-
-[[cost.tiers]]
-tier = { size = 200_000 }
-input = 4.00
-output = 18.00
-cache_read = 0.40
-
 [limit]
 context = 1_048_576
 output = 65_536
@@ -28,3 +17,10 @@ output = 65_536
 [modalities]
 input = ["text", "image", "video", "audio", "pdf"]
 output = ["text"]
+
+[[benchmarks]]
+name = "SWE-Bench Pro"
+score = 43.3
+metric = "resolve rate"
+dataset = "public"
+source = "https://labs.scale.com/leaderboard/swe_bench_pro_public"
@@ -0,0 +1,18 @@
+name = "Nano Banana 2"
+family = "gemini-flash"
+release_date = "2026-02-26"
+last_updated = "2026-02-26"
+attachment = true
+reasoning = true
+temperature = true
+tool_call = false
+knowledge = "2025-01"
+open_weights = false
+
+[limit]
+context = 65_536
+output = 65_536
+
+[modalities]
+input = ["text", "image", "pdf"]
+output = ["text", "image"]
@@ -0,0 +1,19 @@
+name = "Gemini 3.1 Flash Lite Preview"
+family = "gemini-flash-lite"
+release_date = "2026-03-03"
+last_updated = "2026-03-03"
+attachment = true
+reasoning = true
+temperature = true
+tool_call = true
+structured_output = true
+knowledge = "2025-01"
+open_weights = false
+
+[limit]
+context = 1_048_576
+output = 65_536
+
+[modalities]
+input = ["text", "image", "video", "audio", "pdf"]
+output = ["text"]
@@ -0,0 +1,19 @@
+name = "Gemini 3.1 Flash Lite"
+family = "gemini-flash-lite"
+release_date = "2026-05-07"
+last_updated = "2026-05-07"
+attachment = true
+reasoning = true
+temperature = true
+tool_call = true
+structured_output = true
+knowledge = "2025-01"
+open_weights = false
+
+[limit]
+context = 1_048_576
+output = 65_536
+
+[modalities]
+input = ["text", "image", "video", "audio", "pdf"]
+output = ["text"]
@@ -0,0 +1,19 @@
+name = "Gemini 3.1 Pro Preview Custom Tools"
+family = "gemini-pro"
+release_date = "2026-02-19"
+last_updated = "2026-02-19"
+attachment = true
+reasoning = true
+temperature = true
+tool_call = true
+structured_output = true
+knowledge = "2025-01"
+open_weights = false
+
+[limit]
+context = 1_048_576
+output = 65_536
+
+[modalities]
+input = ["text", "image", "video", "audio", "pdf"]
+output = ["text"]
@@ -0,0 +1,97 @@
+name = "Gemini 3.1 Pro Preview"
+family = "gemini-pro"
+release_date = "2026-02-19"
+last_updated = "2026-02-19"
+attachment = true
+reasoning = true
+temperature = true
+tool_call = true
+structured_output = true
+knowledge = "2025-01"
+open_weights = false
+
+[limit]
+context = 1_048_576
+output = 65_536
+
+[modalities]
+input = ["text", "image", "video", "audio", "pdf"]
+output = ["text"]
+
+[[benchmarks]]
+name = "SWE-Bench Pro"
+score = 54.2
+metric = "resolve rate"
+source = "https://www.anthropic.com/news/claude-opus-4-8"
+date = "2026-05-28"
+
+[[benchmarks]]
+name = "Terminal-Bench"
+score = 70.3
+metric = "success rate"
+harness = "Terminus-2"
+version = "2.1"
+source = "https://www.anthropic.com/news/claude-opus-4-8"
+date = "2026-05-28"
+
+[[benchmarks]]
+name = "SWE-Bench Pro"
+score = 46.1
+metric = "resolve rate"
+dataset = "public"
+source = "https://labs.scale.com/leaderboard/swe_bench_pro_public"
+
+[[benchmarks]]
+name = "SWE-Atlas Codebase QnA"
+score = 13.5
+metric = "score"
+harness = "Mini-SWE-Agent"
+source = "https://labs.scale.com/leaderboard/sweatlas-qna"
+
+[[benchmarks]]
+name = "SWE-Atlas Refactoring"
+score = 33.81
+metric = "score"
+harness = "Gemini CLI"
+source = "https://labs.scale.com/leaderboard/sweatlas-refactoring"
+
+[[benchmarks]]
+name = "SWE-Atlas Test Writing"
+score = 29.84
+metric = "score"
+harness = "Mini-SWE-Agent"
+source = "https://labs.scale.com/leaderboard/sweatlas-tw"
+
+[[benchmarks]]
+name = "Artificial Analysis Coding Agent Index"
+score = 43
+metric = "average pass@1"
+harness = "Gemini CLI"
+variant = "high"
+source = "https://artificialanalysis.ai/agents/coding-agents"
+
+[[benchmarks]]
+name = "SWE-Atlas Codebase QnA"
+score = 45.6
+metric = "pass@1"
+harness = "Gemini CLI"
+variant = "high"
+source = "https://artificialanalysis.ai/agents/coding-agents"
+
+[[benchmarks]]
+name = "SWE-Bench Pro"
+score = 15.1
+metric = "pass@1"
+harness = "Gemini CLI"
+variant = "high"
+dataset = "hard-aa"
+source = "https://artificialanalysis.ai/agents/coding-agents"
+
+[[benchmarks]]
+name = "Terminal-Bench"
+score = 68.3
+metric = "pass@1"
+harness = "Gemini CLI"
+variant = "high"
+version = "2.1"
+source = "https://artificialanalysis.ai/agents/coding-agents"
--- a/Show More
+++ b/Show More