Model ID
mistralai/Mistral-Small-4-119B-2603
Capabilities
Mistral Small 4 119B 2603
Mistral Small 4 119B 2603 is a hybrid multimodal Mixture-of-Experts model that unifies instruction-following, reasoning, and coding capabilities into a single system. It contains 119B parameters with ~6.5B active per token, using 128 experts with 4 selected per token across a 36-layer architecture with 4,096 hidden size and 32 attention heads. Supporting up to a 256K context window, it enables dynamic reasoning modes, vision understanding, and strong agentic tool calling with structured outputs, making it well-suited for high-throughput, real-world AI systems.
About this model
Mistral Small 4 119B 2603 is a hybrid multimodal Mixture-of-Experts model that unifies instruction-following, reasoning, and coding capabilities into a single system. It contains 119B parameters with ~6.5B active per token, using 128 experts with 4 selected per token across a 36-layer architecture with 4,096 hidden size and 32 attention heads. Supporting up to a 256K context window, it enables dynamic reasoning modes, vision understanding, and strong agentic tool calling with structured outputs, making it well-suited for high-throughput, real-world AI systems.
Model specifications and capabilities are published by the model author and reproduced here from HF Model Card (mistralai/Mistral-Small-4-119B-2603). Released under Apache 2.0. Further reading: Blog
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Hardware
B200
1,440 GB
Engine
vLLM
SGLang
Deployment code
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Performance under load
Tokens/s (total)
Benchmarks measured by Vultr on B200 · vLLM. Throughput and latency vary with concurrency, input length and engine configuration, so treat these as a comparison baseline, not a service guarantee.
NVIDIA HGX B200
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