Update Vultr model list with 10 new models and updated pricing
- Updated pricing to $0.55/M input tokens, $2.75/M output tokens - Updated context limits to safe floor values from official testing - Added accurate output token limits from official model documentation - Added 5 new models: MiniMax M2.5, DeepSeek V3.2, GLM-5 FP8, Llama 3.1 Nemotron Ultra 253B, NVIDIA Nemotron 3 Super 120B A12B NVFP4 - Updated existing models: DeepSeek R1 Distill variants, GPT OSS 120B, Kimi K2.5, Qwen2.5 Coder 32B Model specifications: - MiniMax M2.5: 196K context, 4,096 output - Qwen2.5-Coder-32B: 15K context, 256 output (notable low default) - DeepSeek R1 Distill Llama 70B: 130K context, 4,096 output - DeepSeek R1 Distill Qwen 32B: 130K context, 4,096 output - DeepSeek V3.2: 163K context, 4,096 output - Kimi K2.5: 261K context, 32,768 output (high output limit) - GPT OSS 120B: 130K context, 8,192 output - GLM-5 FP8: 202K context, 131,072 output (exceptionally high) - Llama 3.1 Nemotron Ultra 253B: 32K context, 4,096 output - NVIDIA Nemotron 3 Super 120B A12B NVFP4: 260K context, 8,192 output All models set to text-only (no vision support) as confirmed.
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@@ -10,12 +10,12 @@ release_date = "2025-01-20"
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last_updated = "2025-01-20"
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[cost]
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input = 0.20
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output = 0.20
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input = 0.55
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output = 2.75
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[limit]
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context = 121_808
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output = 8_192
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context = 130_000
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output = 4_096
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[modalities]
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input = ["text"]
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+4
-4
@@ -10,12 +10,12 @@ release_date = "2025-01-20"
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last_updated = "2025-01-20"
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[cost]
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input = 0.20
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output = 0.20
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input = 0.55
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output = 2.75
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[limit]
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context = 121_808
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output = 8_192
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context = 130_000
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output = 4_096
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[modalities]
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input = ["text"]
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@@ -0,0 +1,22 @@
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name = "DeepSeek V3.2"
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family = "deepseek"
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attachment = false
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reasoning = false
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tool_call = true
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temperature = true
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open_weights = true
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knowledge = "2024-10"
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release_date = "2025-01-20"
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last_updated = "2025-01-20"
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[cost]
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input = 0.55
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output = 2.75
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[limit]
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context = 163_000
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output = 4_096
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[modalities]
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input = ["text"]
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output = ["text"]
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@@ -0,0 +1,22 @@
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name = "GLM 5 FP8"
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family = "glm"
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attachment = false
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reasoning = false
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tool_call = true
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temperature = true
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open_weights = true
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knowledge = "2024-10"
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release_date = "2025-01-20"
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last_updated = "2025-01-20"
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[cost]
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input = 0.55
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output = 2.75
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[limit]
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context = 202_000
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output = 131_072
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[modalities]
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input = ["text"]
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output = ["text"]
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+4
-4
@@ -10,12 +10,12 @@ release_date = "2024-07-18"
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last_updated = "2024-07-18"
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[cost]
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input = 0.20
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output = 0.20
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input = 0.55
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output = 2.75
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[limit]
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context = 58_904
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output = 4_096
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context = 261_000
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output = 32_768
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[modalities]
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input = ["text"]
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@@ -0,0 +1,22 @@
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name = "Llama 3.1 Nemotron Ultra 253B v1"
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family = "llama"
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attachment = false
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reasoning = false
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tool_call = true
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temperature = true
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open_weights = true
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knowledge = "2024-10"
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release_date = "2025-01-20"
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last_updated = "2025-01-20"
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[cost]
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input = 0.55
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output = 2.75
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[limit]
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context = 32_000
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output = 4_096
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[modalities]
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input = ["text"]
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output = ["text"]
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@@ -0,0 +1,22 @@
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name = "MiniMax M2.5"
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family = "minimax"
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attachment = false
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reasoning = false
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tool_call = true
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temperature = true
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open_weights = true
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knowledge = "2024-10"
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release_date = "2025-01-20"
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last_updated = "2025-01-20"
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[cost]
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input = 0.55
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output = 2.75
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[limit]
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context = 196_000
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output = 4_096
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[modalities]
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input = ["text"]
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output = ["text"]
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@@ -0,0 +1,22 @@
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name = "NVIDIA Nemotron 3 Super 120B A12B NVFP4"
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family = "nemotron"
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attachment = false
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reasoning = false
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tool_call = true
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temperature = true
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open_weights = true
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knowledge = "2024-10"
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release_date = "2025-01-20"
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last_updated = "2025-01-20"
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[cost]
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input = 0.55
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output = 2.75
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[limit]
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context = 260_000
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output = 8_192
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[modalities]
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input = ["text"]
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output = ["text"]
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+4
-4
@@ -10,12 +10,12 @@ release_date = "2024-11-06"
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last_updated = "2024-11-06"
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[cost]
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input = 0.20
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output = 0.20
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input = 0.55
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output = 2.75
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[limit]
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context = 12_952
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output = 2_048
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context = 15_000
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output = 256
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[modalities]
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input = ["text"]
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@@ -10,11 +10,11 @@ release_date = "2025-06-23"
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last_updated = "2025-06-23"
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[cost]
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input = 0.20
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output = 0.20
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input = 0.55
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output = 2.75
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[limit]
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context = 121_808
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context = 130_000
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output = 8_192
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[modalities]
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