Large Language ModelText GenerationMistral Family

Mistral 7B / Mixtral 8x22B

Mistral 7B and Mixtral 8x22B are open-weight large language models from Mistral AI, designed for efficient, high-quality text generation and reasoning. Mistral 7B is a dense 7B-parameter model, while Mixtral 8x22B is a sparse Mixture-of-Experts model that activates a subset of its experts per token for strong performance at lower inference cost. Both models target general-purpose use cases such as chat, coding, and knowledge-intensive tasks.

by Mistral AIReleased 2023-12-11Apache 2.0 (7B), Apache 2.0-like for Mixtral 8x22B
Parameters
7B / 8x22B MoE
API Access
Available

Key Capabilities

  • +General-purpose text generation
  • +Code generation and debugging
  • +Multilingual understanding and generation
  • +Instruction following and chat
  • +Reasoning on math and logic problems
  • +Knowledge-intensive QA

Limitations

  • -No guaranteed access to post-2023 information due to training cutoff
  • -May hallucinate facts or code, especially in niche domains
  • -Open weights but not fully transparent training data
  • -Safety and alignment rely on external prompting/guardrails
  • -Context window smaller than some frontier proprietary models

Benchmark Performance

reasoning

reasoning

Massive Multitask Language Understanding

77.8%

coding

coding

HumanEval

45.1%

math

math

Grade School Math 8K

78.6%
math

MATH

41.8%

conversation

conversation

Chatbot Arena Elo

1143.0Elo

Alternatives & Comparisons

Strengths
  • + Widely adopted ecosystem
  • + Fine-tuning examples and tooling
Weaknesses
  • - More restrictive license
  • - Lower benchmark performance than newer Mistral models