Large Language ModelText GenerationMistral Family

Mistral 7B / Mixtral 8x7B

Mistral 7B is a dense 7B-parameter open-weight language model and Mixtral 8x7B is a sparse Mixture-of-Experts model with eight 7B experts, both from Mistral AI. They target strong reasoning, coding, and general-purpose text generation while remaining efficient to run on commodity hardware. They are widely used as high-performance open alternatives to larger proprietary LLMs.

by Mistral AIReleased 2023-09-27Apache 2.0
Context Window
33K
Parameters
7B / 8x7B MoE
API Access
Available

Key Capabilities

  • +General-purpose text generation and chat
  • +Strong code generation and debugging across multiple languages
  • +Good reasoning on math and logic benchmarks for their size
  • +Efficient inference via grouped-query attention and MoE routing (Mixtral)
  • +Multilingual support for major European languages
  • +Compatibility with common open-source tooling and runtimes

Limitations

  • -Knowledge cutoff in early 2023, missing newer facts and events
  • -No native tools, browsing, or retrieval without external orchestration
  • -Can hallucinate facts or code; outputs require verification in critical settings
  • -Safety and alignment depend on downstream fine-tuning and guardrails
  • -Context window smaller than some newer frontier and proprietary models

Benchmark Performance

reasoning

reasoning

Massive Multitask Language Understanding

62.5%
reasoning

HellaSwag

81.3%

coding

coding

HumanEval

29.3%

math

math

Grade School Math 8K

52.2%

conversation

conversation

Chatbot Arena Elo

1071.0Elo

Alternatives & Comparisons

Llama 2 7BOpen-weight LLM
Strengths
  • + Widely adopted and documented
  • + Strong ecosystem and tooling
Weaknesses
  • - Lower benchmark performance than Mistral 7B on many tasks
  • - Older architecture without grouped-query attention