Model Type
Vision-Language Model
Released
October 29, 2026
Parameters
1T
Model ID
mistralai/Mistral-Large-4-1T-A52B
Capabilities
Mistral Large 4 1T A52B
Mistral Large 4 1T A52B is a natively multimodal Mixture-of-Experts model that unifies instruction following, reasoning, coding, and agentic workflows. It holds approximately 1T total parameters with 52B active, using a 72-layer architecture with 6,144 hidden size, 64 attention heads, and 64 KV heads. Sparse indexed attention runs in all layers, with rotary embeddings omitted every fourth layer, and each MoE layer activates 4 of 128 routed experts plus a shared expert. Supporting a 1M-token context, it adds a Pixtral-style vision encoder and an embedded DSpark draft head.
About this model
Mistral Large 4 1T A52B is a natively multimodal Mixture-of-Experts model that unifies instruction following, reasoning, coding, and agentic workflows. It holds approximately 1T total parameters with 52B active, using a 72-layer architecture with 6,144 hidden size, 64 attention heads, and 64 KV heads. Sparse indexed attention runs in all layers, with rotary embeddings omitted every fourth layer, and each MoE layer activates 4 of 128 routed experts plus a shared expert. Supporting a 1M-token context, it adds a Pixtral-style vision encoder and an embedded DSpark draft head.
Model specifications and capabilities are published by the model author and reproduced here from HF Model Card (mistralai/Mistral-Large-4-1T-A52B). Released under Mistral Ecosystem Open-Weight License. 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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