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Magistral Medium vs Mistral Large 4

Mistral Large 4 leads the LLM Stats Score 46.2 to 13.1.

Mistral AI · Mistral AI · Updated for 2026

Which is better?

Mistral Large 4 leads the overall LLM Stats Score 46.2 to 13.1, ranking #34 overall.

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

Choose Magistral Medium

  • 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 Medium
Mistral AI
Mistral Large 4
Mistral AI
Core performance indexes
LLM Stats Score
13.1
#263
46.2
#34
Reasoning
13.3
#254
44.4
#38
Coding
3.4
#230
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

6 reported for Magistral Medium · 18 for Mistral Large 4

No common benchmarks found

Magistral Medium 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 Medium, making it 4275.0% larger.

Mistral AI
Magistral Medium
24.0Bparameters
Mistral AI
Mistral Large 4
1.1Tparameters
24.0B
Magistral Medium
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 Medium
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

Both Magistral Medium and Mistral Large 4 support multimodal inputs.

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

Magistral Medium

Text
Images
Audio
Video

Mistral Large 4

Text
Images
Audio
Video

License

Usage and distribution terms

Magistral Medium 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 Medium

Apache 2.0

Open weights

Mistral Large 4

Proprietary

Closed source

Release Timeline

When each model was launched

Magistral Medium 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 Medium.

Magistral Medium

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

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

Magistral Medium

Jun 2025

Mistral Large 4

—

Outputs Comparison

Notice missing or incorrect data?

Judge for yourself.

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

Magistral Medium
✓ Preferred
Mistral Large 4
Open in Playground

FAQ

Common questions about Magistral Medium vs Mistral Large 4.

Which is better, Magistral Medium or Mistral Large 4?

Mistral Large 4 leads the LLM Stats Score 46.2 to 13.1. Magistral Medium 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 Medium compare to Mistral Large 4 in benchmarks?

Magistral Medium scores AIME 2024: 73.6%, GPQA: 70.8%, AIME 2025: 64.9%, LiveCodeBench: 50.3%, Aider-Polyglot: 47.1%. 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 Medium and Mistral Large 4?

Magistral Medium 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 Medium and Mistral Large 4?

Key differences include LLM Stats Score (13.1 vs 46.2), licensing (Apache 2.0 vs Proprietary). See the full comparison above for benchmark-by-benchmark results.

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