Mistral Advanced Open weight Available in FlowHunt

Mistral Large 3

Mistral Large 3 is an advanced AI model suited for demanding production workloads, developed by Mistral and released in December 2025. As an open-weight model, its trained weights are publicly available — you can self-host it, fine-tune it on proprietary data, or run it on-premise without API dependencies. It supports a 256K-token context window, adequate for most documents and multi-turn applications.

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Mistral Large 3 was released on December 2, 2025 as Mistral’s most capable commercial model and, critically, as an open-weight release under the Apache 2.0 license. At 41B active parameters from a 675B total MoE architecture, it is the largest and most capable fully Apache-licensed frontier-adjacent model available. Mistral designed Large 3 to address European enterprise needs specifically: deployable in EU data centres, compliant with GDPR by architecture (data never leaves the deployment region), and usable for commercial applications without the restrictive licensing terms of many open-weight models.

Benchmarks

Each score appears once, with its rank among tracked models and who measured it.

Compared with Advanced peers on the same scale
  • Mistral Large 3this model
  • Claude Sonnet 5.5this model leads on 0 of 3
  • GPT-6 Lunathis model leads on 0 of 3
Verified independent evaluator, counted in the ranking
Overall

AA Intelligence Index

Independent composite of agent, coding, knowledge and science tests by Artificial Analysis (v4).

Source ↗

Mistral Large 3 9.3 Claude Sonnet 5.5 56.0 GPT-6 Luna 38.1
#40of 45 Verified
Coding

SWE-bench Verified

500 verified GitHub issues. Saturated at the frontier.

Source ↗

Mistral Large 3 41.4% Claude Sonnet 5.5 No score GPT-6 Luna No score
#22of 22 Verified
Agents

Terminal-Bench 4.0

Multi-step professional tasks done by an agent in a command-line terminal.

Source ↗

Mistral Large 3 0.0% Claude Sonnet 5.5 63.6% GPT-6 Luna 12.6%
#33of 36 Verified

Humanity's Last Exam

Expert-written questions across 100+ subjects, no tools.

Source ↗

Mistral Large 3 4.2% Claude Sonnet 5.5 55.0% GPT-6 Luna 38.5%
#39of 44 Verified

GPQA Diamond

Graduate-level science questions that search cannot answer.

Source ↗Also: Verified 43.9% (LayerLens/Atlas independent)

Mistral Large 3 68.0% Claude Sonnet 5.5 No score GPT-6 Luna No score
#30of 37 Verified

What to Use Mistral Large 3 For

Scientific & Technical Reasoning

It handles general scientific Q&A at a solid level, though frontier models score 25+ percentage points higher on the hardest graduate-level problems.

Self-Hosted & Private Deployments

Mistral Large 3 is open-weight (41B/675B MoE parameters) — its trained weights are publicly available for download and self-deployment. Run it on your own GPU hardware or private cloud to ensure data never leaves your environment, eliminate per-token API costs at scale, or fine-tune the model on proprietary datasets.

Strengths and limitations

Strengths

  • Advanced mathematics
  • Self-hosted & data-private deployments (open-weight)
  • Long-context tasks (256K context window)

Limitations

  • Below-frontier hard science reasoning

Use it in FlowHunt

Use Mistral Large 3 in any flow, next to your own tools and knowledge sources.

  1. 1Open a flow, or create one from a template
  2. 2Add an AI Agent or Generator component
  3. 3Pick Mistral Large 3 in the model selector

Related AI Models

About Mistral Paris, France · Founded 2023 · mistral.ai

Mistral AI is a French AI company founded in April 2023 by Arthur Mensch (formerly of Google DeepMind), Guillaume Lample, and Timothée Lacroix (both formerly of Meta AI Research). The company positions itself as a European champion in generative AI, combining a commercial API business with strategic open-weight releases. Mistral's flagship Large series and Apache 2.0-licensed models have made it the most prominent non-US, non-Chinese provider on most AI leaderboards. The company maintains EU headquarters in Paris, emphasises GDPR and EU regulatory compliance, and has articulated a distinct regulatory philosophy calling for lighter regulation of open-weight models compared to closed API systems.

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Frequently asked questions

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