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Mistral Large 4 benchmarks, pricing and specs

Mistral Large 4 is a Mistral AI model released on October 6, 2026 that takes text and image input and produces text. It costs $1.36 per 1M input tokens and $4.18 per 1M output tokens and accepts up to 1,000,000 tokens of context. It scores 1429 Elo on Arena Text, #34 of 39 current models (Arena, measured October 8, 2026).

Per 1M input tokens
$1.36
Per 1M output tokens
$4.18
Context window
1M
Arena Text
1429 Elo · #34/39

Data verified October 12, 2026 · Dataset 2026-10-12

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Key facts

Provider
Mistral AI
Model family
Mistral Large 4
Release date
October 6, 2026
Status
Current
Access
API only
API model id
mistral-large-4-0
Context window
1,000,000 tokens
Max output
Not reported
Input
text, image
Output
text
Task families
text, multimodal
Declared capabilities
reasoning

Mistral Large 4 pricing

It is the #15 cheapest of 37 current text models priced per 1M input tokens.

UnitPrice (USD)TierAppliesSource
1M input tokens$1.36standardCurrent
1M output tokens$4.18standardCurrent
1M input tokens$0.14cachedCurrent

Independent benchmark results

Scores come from independent evaluators that ran the model themselves, pinned to a dated snapshot. Rank is among current models in the same snapshot. Mistral AI's own launch figures are listed under strengths with the publisher named, because they are not measured the same way.

BenchmarkScoreRankMeasuredSource
Arena Text1429 Elo#34 of 39October 8, 2026Arena · 2026-10-12
SimpleQA Verified20%#32 of 34October 12, 2026Epoch AI · 2026-10-12

Strengths, cautions and best uses

Strengths

  • A natively multimodal mixture-of-experts model with 1.05 trillion total and 52 billion active parameters, a 1.6B vision encoder and a 1M-token context window
  • Mistral reports fluency in more than 160 languages, including every official EU language, and serves the preview from European data centres
  • Mistral says open weights follow by the end of October 2026, which would make it one of the largest open-weight models available

Cautions

  • This is a public preview: Mistral says the reinforcement learning run is still in flight and the model will keep changing
  • Weights and their licence were not published at the time of this update, so it is recorded as API-only
  • Mistral offered a temporary 50% launch discount; the recorded rates are the list prices
  • Epoch AI measured 20.0% on SimpleQA Verified, low for its size, so check factual recall on your own questions

Best for

  • European data-residency workloads that want a frontier-scale multimodal model
  • Teams planning to self-host once the open weights ship

Alternatives to Mistral Large 4

The closest current textmodels by price. The cheapest model that scores as well or better is listed first; failing that, the cheapest one within 3% of the benchmark's scale.

Compare Mistral Large 4 with

Mistral Large 4 FAQ

How much does Mistral Large 4 cost?

Mistral Large 4 costs $1.36 per 1M input tokens and $4.18 per 1M output tokens at the standard tier. It is the #15 cheapest of 37 current text models priced per 1M input tokens. Source: Mistral AI, verified October 12, 2026.

What is the context window of Mistral Large 4?

Mistral Large 4 accepts up to 1,000,000 tokens of context. That ranks #24 of 44 current text models by context length.

How does Mistral Large 4 score on independent benchmarks?

Mistral Large 4 scores 1429 Elo on Arena Text, #34 of 39 current models (Arena, measured October 8, 2026) and 20% on SimpleQA Verified, #32 of 34 current models (Epoch AI, measured October 12, 2026). These are independent evaluations, not Mistral AI's own launch figures.

Is Mistral Large 4 open source or API only?

Mistral Large 4 is available through Mistral AI's API only; its weights are not published.

What are the best alternatives to Mistral Large 4?

The closest current alternatives by price and measured performance are GPT-6 Luna (93% cheaper per 1M input tokens, $0.10 vs $1.36), Grok 4.20 (8% cheaper per 1M input tokens, $1.25 vs $1.36), Grok 4.3 (8% cheaper per 1M input tokens, $1.25 vs $1.36) and Muse Spark 1.3 (8% cheaper per 1M input tokens, $1.25 vs $1.36).

Sources

Cite this page

Van Data Team. "Mistral Large 4 Benchmarks, Pricing and Specs." AI Model Benchmark Dataset 2026-10-12. https://vandatateam.com/ai-model-benchmarks/mistral-large-4

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Production evaluation

Deciding whether Mistral Large 4 fits your workload?

Public benchmarks narrow the shortlist. We test the finalists on your own tasks, data and cost limits, then build the routing and review controls to run the winner in production.

  • Evaluation cases and acceptance thresholds tied to real work
  • Model routing, fallbacks and cost controls