modelgrep

Best Mistral Models for RAG

Match · Updated July 2026

The best Mistral model for RAG is Mistral Medium 3.5 — 29.9 intelligence with 262K tokens of context for retrieved passages. Mistral Medium 3.1 (14.7) and Mistral Medium 3 (12.5) round out the top three.

29.9Intelligence
$1.50Input /M
262KContext

The best AI models for retrieval-augmented generation, ranked by intelligence among models with at least 128K tokens of context — enough to hold retrieved passages plus conversation. RAG pipelines run at volume, so weigh the price and speed columns as hard as the score.

  1. 1mistralai logo
    mistral-medium-3-5
    ReasoningToolsJSON+129.9 intel · $1.50/M · 262K ctx
    29.9
    Intelligence
  2. 2mistralai logo
    mistral-medium-3.1
    ToolsJSONVision14.7 intel · $0.400/M · 131K ctx
    14.7
    Intelligence
  3. 3mistralai logo
    mistral-medium-3
    ToolsJSONVision12.5 intel · $0.400/M · 131K ctx
    12.5
    Intelligence
  4. 4mistralai logo
    mistral-large-2407
    ToolsJSON7.3 intel · $2.00/M · 131K ctx
    7.3
    Intelligence
  5. 5mistralai logo
    mistral-large
    ToolsJSON4.4 intel · $2.00/M · 128K ctx
    4.4
    Intelligence

Frequently asked

What is the best Mistral model for RAG?

The best Mistral model for RAG is Mistral Medium 3.5 — 29.9 intelligence with 262K tokens of context for retrieved passages. Mistral Medium 3.1 (14.7) and Mistral Medium 3 (12.5) round out the top three.

What's a good alternative to Mistral Medium 3.5?

Mistral Medium 3.1 (14.7) is the closest alternative on this metric, followed by Mistral Medium 3 (12.5). See the full ranking above for the tradeoffs.

How many Mistral models are there?

modelgrep tracks 19 Mistral models with live benchmarks, speed, latency and per-provider pricing, led on intelligence by Mistral Medium 3.5. 5 of them qualify for this ranking.

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