Large Language ModelText GenerationMistral Family

Mistral Small

Mistral Small is a lightweight proprietary instruction-tuned language model from Mistral AI, designed to offer strong reasoning and coding performance at low latency and cost. It targets everyday chat, coding assistance, and task automation workloads where efficiency is critical.

by Mistral AIReleased 2024-04-10Proprietary
Context Window
32K
API Access
Available

Key Capabilities

  • +General-purpose chat and instruction following
  • +Fast, low-latency inference for interactive applications
  • +Solid coding assistance across common programming languages
  • +Summarization and rewriting of short to medium-length texts
  • +Basic reasoning and problem solving on everyday tasks

Limitations

  • -Smaller and less capable than flagship frontier models on complex reasoning and long-context tasks
  • -Knowledge and training data details are not fully disclosed
  • -May hallucinate facts or code and still requires human verification
  • -Not open source; usage is constrained to supported APIs and platforms

Benchmark Performance

reasoning

reasoning

Massive Multitask Language Understanding

72.2%

coding

coding

HumanEval

62.0%

math

math

Grade School Math 8K

70.6%

conversation

conversation

Chatbot Arena Elo

1102.0Elo

Alternatives & Comparisons

OpenAI small/cheap model optimized for cost and latency with strong reasoning for its size.

Strengths
  • + Tight integration in OpenAI ecosystem
  • + Very low cost and latency
Weaknesses
  • - Closed weights
  • - Subject to OpenAI policies and rate limits

Anthropic’s small Claude model optimized for speed and cost with strong safety features.

Strengths
  • + Fast and inexpensive
  • + Strong safety and refusal behavior
Weaknesses
  • - Closed source and API-gated
  • - Less capable than larger Claude models on complex tasks

Open-weight Meta model suitable for on-prem and self-hosted deployments.

Strengths
  • + Open weights and flexible deployment
  • + Good performance for its size
Weaknesses
  • - Requires infra to self-host
  • - Typically weaker than larger proprietary models