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Mistral AI's 119B open-weights MoE model unifying instruct, on-demand reasoning, vision, and coding in a single Apache 2.0 checkpoint, with a 262K-token context window and interactive-class latency.
Mistral AI's December 2025 open-weight flagship — a sparse MoE with 675B total / 41B active parameters, 256k context, native vision, and Apache 2.0 licence — built for complex instruction-following, agentic workflows, and multilingual deployments.
A 12B open-weights instruction model co-developed by Mistral AI and NVIDIA, featuring a 131k-token context window, the efficient Tekken tokenizer, native tool calling, and multilingual support across nine languages — available under Apache 2.0 for unrestricted self-hosted inference.
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Mistral AI's 119B open-weights MoE model unifying instruct, on-demand reasoning, vision, and coding in a single Apache 2.0 checkpoint, with a 262K-token context window and interactive-class latency.