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Mistral Large 4 vs Mistral Small 3.1 24B Instruct

Mistral Large 4 leads the LLM Stats Score 46.2 to 4.2.

Mistral AI · Mistral AI · Updated for 2026

Which is better?

Mistral Large 4 leads the overall LLM Stats Score 46.2 to 4.2, ranking #34 overall.

Based on current LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.

Choose Mistral Large 4

  • overall performance matters — it scores 46.2 and ranks #34 on LLM Stats
  • your work emphasizes reasoning and coding — it leads those capability indexes
  • you want the most recent training data — it shipped Oct 2026

Choose Mistral Small 3.1 24B Instruct

  • you need open weights you can self-host or fine-tune

At a glance

The differences that matter most.

Core performance indexes
46.2
#34
4.2
#318
44.0
#43
4.2
#312
35.8
#27
9.7
#183
Cost, coverage & limits
Benchmark wins
—
—
Input price
$0.68 / M
— / M
Output price
$2.09 / M
— / M
Context window
1,000,000
—

Individual benchmarks

18 reported for Mistral Large 4 · 9 for Mistral Small 3.1 24B Instruct

No common benchmarks found

Mistral Large 4 and Mistral Small 3.1 24B Instructdon't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.

Human preference

Blind head-to-head votes and playground preference scores

Model Size

Parameter count comparison

1026.0B diff

Mistral Large 4 has 1026.0B more parameters than Mistral Small 3.1 24B Instruct, making it 4275.0% larger.

Mistral AI
Mistral Large 4
1.1Tparameters
Mistral AI
Mistral Small 3.1 24B Instruct
24.0Bparameters
1050.0B
Mistral Large 4
24.0B
Mistral Small 3.1 24B Instruct

Context Window

Maximum input and output token capacity

Only Mistral Large 4 specifies input context (1,000,000 tokens).

Mistral AI
Mistral Large 4
Input1,000,000 tokens
Output- tokens
Mistral AI
Mistral Small 3.1 24B Instruct
Input- tokens
Output- tokens
Sun Oct 11 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Both Mistral Large 4 and Mistral Small 3.1 24B Instruct support multimodal inputs.

They are both capable of processing various types of data, offering versatility in application.

Mistral Large 4

Text
Images
Audio
Video

Mistral Small 3.1 24B Instruct

Text
Images
Audio
Video

License

Usage and distribution terms

Mistral Large 4 is licensed under a proprietary license, while Mistral Small 3.1 24B Instruct uses Apache 2.0.

License differences may affect how you can use these models in commercial or open-source projects.

Mistral Large 4

Proprietary

Closed source

Mistral Small 3.1 24B Instruct

Apache 2.0

Open weights

Release Timeline

When each model was launched

Mistral Large 4 was released on 2026-10-06, while Mistral Small 3.1 24B Instruct was released on 2025-03-17.

Mistral Large 4 is 19 months newer than Mistral Small 3.1 24B Instruct.

Mistral Large 4

Oct 6, 2026

5 days ago

1.6yr newer
Mistral Small 3.1 24B Instruct

Mar 17, 2025

1.6 years ago

Knowledge Cutoff

When training data ends

Neither model specifies a knowledge cutoff date.

Unable to compare the recency of their training data.

No cutoff dates available

Outputs Comparison

Notice missing or incorrect data?

Judge for yourself.

Run your own prompts against Mistral Large 4 and Mistral Small 3.1 24B Instruct side-by-side, then vote on the output you prefer.

Mistral Large 4
✓ Preferred
Mistral Small 3.1 24B Instruct
Open in Playground

FAQ

Common questions about Mistral Large 4 vs Mistral Small 3.1 24B Instruct.

Which is better, Mistral Large 4 or Mistral Small 3.1 24B Instruct?

Mistral Large 4 leads the LLM Stats Score 46.2 to 4.2. Mistral Large 4 is made by Mistral AI and Mistral Small 3.1 24B Instruct is made by Mistral AI. The best choice depends on your use case — compare their capability indexes, individual benchmarks, pricing, and limits above.

How does Mistral Large 4 compare to Mistral Small 3.1 24B Instruct in benchmarks?

Mistral Large 4 scores B3 AI Security Benchmark: 93.3%, CyBench: 93.0%, SciCode: 91.8%, KORABench: 84.5%, CyberGym: 82.0%. Mistral Small 3.1 24B Instruct scores HumanEval: 88.4%, MMLU: 80.6%, TriviaQA: 80.5%, MBPP: 74.7%, MATH: 69.3%.

What are the context window sizes for Mistral Large 4 and Mistral Small 3.1 24B Instruct?

Mistral Large 4 supports 1.0M tokens and Mistral Small 3.1 24B Instruct supports an unknown number of tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between Mistral Large 4 and Mistral Small 3.1 24B Instruct?

Key differences include LLM Stats Score (46.2 vs 4.2), licensing (Proprietary vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.