Mistral Legacy Open weight Not in FlowHunt

Mixtral 8x7B

Mixtral 8x7B is a legacy AI model, developed by Mistral and released in December 2023. 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. Its 32K-token context window is shorter than current frontier models, which may limit performance on long documents.

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Mixtral 8x7B was released on December 1, 2023 without prior announcement — Mistral dropped a torrent magnet link on Twitter and let the community discover what it had built. The release introduced mixture-of-experts architecture to the open-weight AI mainstream: 8 expert networks of 7B parameters each, with 2 experts activated per token, yielding 12.9B active and 46.7B total parameters. At launch it matched GPT-3.5 on most benchmarks while being fully open-weight and runnable on consumer GPUs. Mixtral 8x7B effectively established the MoE playbook that DeepSeek, Qwen, NVIDIA, Meta, and other labs have since adopted for their own open-weight architectures. By 2026 it sits in the Legacy tier — substantially outpaced on every benchmark — but its historical significance in democratising MoE-class performance is considerable.

Benchmarks

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

No other tracked model shares the Legacy tier, so scores are shown without a peer comparison. Compare on the leaderboard

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 ↗

5.1
#45of 45 Verified

Humanity's Last Exam

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

Source ↗

4.7%
#38of 44 Verified

GPQA Diamond

Graduate-level science questions that search cannot answer.

Source ↗

29.2%
#37of 37 Verified

What to Use Mixtral 8x7B For

Self-Hosted & Private Deployments

Mixtral 8x7B is open-weight (12.9B/46.7B 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

  • Self-hosted & data-private deployments (open-weight)

Limitations

  • Significantly behind 2026 frontier models on agentic coding and complex reasoning
  • Short context window (32K) — limited for long documents

Use an alternative in FlowHunt

Mixtral 8x7B is not available in FlowHunt. These models cover similar work and are ready to use:

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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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