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Magistral Small 2506 vs Mistral Large 4

Mistral Large 4 leads the LLM Stats Score 46.2 to 10.7.

Mistral AI · Mistral AI · Updated for 2026

Which is better?

Mistral Large 4 leads the overall LLM Stats Score 46.2 to 10.7, ranking #34 overall.

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

Choose Magistral Small 2506

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

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

At a glance

The differences that matter most.

Magistral Small 2506
Mistral AI
Mistral Large 4
Mistral AI
Core performance indexes
LLM Stats Score
10.7
#277
46.2
#34
Reasoning
10.9
#275
44.4
#38
Coding
5.2
#215
35.4
#27
Cost, coverage & limits
Benchmark wins
—
—
Input price
— / M
$0.68 / M
Output price
— / M
$2.09 / M
Context window
—
1,000,000

Individual benchmarks

4 reported for Magistral Small 2506 · 18 for Mistral Large 4

No common benchmarks found

Magistral Small 2506 and Mistral Large 4don'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 Magistral Small 2506, making it 4275.0% larger.

Mistral AI
Magistral Small 2506
24.0Bparameters
Mistral AI
Mistral Large 4
1.1Tparameters
24.0B
Magistral Small 2506
1050.0B
Mistral Large 4

Context Window

Maximum input and output token capacity

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

Mistral AI
Magistral Small 2506
Input- tokens
Output- tokens
Mistral AI
Mistral Large 4
Input1,000,000 tokens
Output- tokens
Wed Oct 14 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Mistral Large 4 supports multimodal inputs, whereas Magistral Small 2506 does not.

Mistral Large 4 can handle both text and other forms of data like images, making it suitable for multimodal applications.

Magistral Small 2506

Text
Images
Audio
Video

Mistral Large 4

Text
Images
Audio
Video

License

Usage and distribution terms

Magistral Small 2506 is licensed under Apache 2.0, while Mistral Large 4 uses a proprietary license.

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

Magistral Small 2506

Apache 2.0

Open weights

Mistral Large 4

Proprietary

Closed source

Release Timeline

When each model was launched

Magistral Small 2506 was released on 2025-06-10, while Mistral Large 4 was released on 2026-10-06.

Mistral Large 4 is 16 months newer than Magistral Small 2506.

Magistral Small 2506

Jun 10, 2025

1.3 years ago

Mistral Large 4

Oct 6, 2026

1 weeks ago

1.3yr newer

Knowledge Cutoff

When training data ends

Magistral Small 2506 has a documented knowledge cutoff of 2025-06-01, while Mistral Large 4's cutoff date is not specified.

We can confirm Magistral Small 2506's training data extends to 2025-06-01, but cannot make a direct comparison without Mistral Large 4's cutoff date.

Magistral Small 2506

Jun 2025

Mistral Large 4

—

Outputs Comparison

Notice missing or incorrect data?

Judge for yourself.

Run your own prompts against Magistral Small 2506 and Mistral Large 4 side-by-side, then vote on the output you prefer.

Magistral Small 2506
✓ Preferred
Mistral Large 4
Open in Playground

FAQ

Common questions about Magistral Small 2506 vs Mistral Large 4.

Which is better, Magistral Small 2506 or Mistral Large 4?

Mistral Large 4 leads the LLM Stats Score 46.2 to 10.7. Magistral Small 2506 is made by Mistral AI and Mistral Large 4 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 Magistral Small 2506 compare to Mistral Large 4 in benchmarks?

Magistral Small 2506 scores AIME 2024: 70.7%, GPQA: 68.2%, AIME 2025: 62.8%, LiveCodeBench: 51.3%. Mistral Large 4 scores B3 AI Security Benchmark: 93.3%, CyBench: 93.0%, SciCode: 91.8%, KORABench: 84.5%, CyberGym: 82.0%.

What are the context window sizes for Magistral Small 2506 and Mistral Large 4?

Magistral Small 2506 supports an unknown number of tokens and Mistral Large 4 supports 1.0M tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between Magistral Small 2506 and Mistral Large 4?

Key differences include LLM Stats Score (10.7 vs 46.2), multimodal support (no vs yes), licensing (Apache 2.0 vs Proprietary). See the full comparison above for benchmark-by-benchmark results.

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