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Magistral Medium vs Mistral Large 3

Magistral Medium and Mistral Large 3 are closely matched at 13.1 and 10.4 on the LLM Stats Score.

Mistral AI · Mistral AI · Updated for 2026

Which is better?

Magistral Medium and Mistral Large 3 are closely matched on the overall LLM Stats Score at 13.1 and 10.4.

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

Choose Magistral Medium

  • you are already invested in the Mistral AI ecosystem

Choose Mistral Large 3

  • you want the most recent training data — it shipped Sep 2025

At a glance

The differences that matter most.

Core performance indexes
13.1
#246
10.4
#262
13.3
#237
8.4
#272
Cost, coverage & limits
Benchmark wins
Input price
— / M
$2.00 / M
Output price
— / M
$5.00 / M
Context window
128,000

Capability indexes

Additional strengths measured across groups of related public benchmarks

1 shared
Index
Magistral Medium
Mistral Large 3
11.4#242
14.5#218
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

6 reported for Magistral Medium · 8 for Mistral Large 3

No common benchmarks found

Magistral Medium and Mistral Large 3don'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

651.0B diff

Mistral Large 3 has 651.0B more parameters than Magistral Medium, making it 2712.5% larger.

Mistral AI
Magistral Medium
24.0Bparameters
Mistral AI
Mistral Large 3
675.0Bparameters
24.0B
Magistral Medium
675.0B
Mistral Large 3

Context Window

Maximum input and output token capacity

Only Mistral Large 3 specifies input context (128,000 tokens). Only Mistral Large 3 specifies output context (8,192 tokens).

Mistral AI
Magistral Medium
Input- tokens
Output- tokens
Mistral AI
Mistral Large 3
Input128,000 tokens
Output8,192 tokens
Mon Sep 14 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Both Magistral Medium and Mistral Large 3 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 3

Text
Images
Audio
Video

License

Usage and distribution terms

Both models are licensed under Apache 2.0.

Both models share the same licensing terms, providing consistent usage rights.

Magistral Medium

Apache 2.0

Open weights

Mistral Large 3

Apache 2.0

Open weights

Release Timeline

When each model was launched

Magistral Medium was released on 2025-06-10, while Mistral Large 3 was released on 2025-09-01.

Mistral Large 3 is 3 months newer than Magistral Medium.

Magistral Medium

Jun 10, 2025

1.3 years ago

Mistral Large 3

Sep 1, 2025

1.0 years ago

2mo newer

Knowledge Cutoff

When training data ends

Magistral Medium has a documented knowledge cutoff of 2025-06-01, while Mistral Large 3'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 3's cutoff date.

Magistral Medium

Jun 2025

Mistral Large 3

Outputs Comparison

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Judge for yourself.

Run your own prompts against Magistral Medium and Mistral Large 3 side-by-side, then vote on the output you prefer.

Magistral Medium
✓ Preferred
Mistral Large 3
Open in Playground

FAQ

Common questions about Magistral Medium vs Mistral Large 3.

Which is better, Magistral Medium or Mistral Large 3?

Magistral Medium and Mistral Large 3 are closely matched on the LLM Stats Score at 13.1 and 10.4. Magistral Medium is made by Mistral AI and Mistral Large 3 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 3 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 3 scores MATH: 90.4%, MM-MT-Bench: 84.9%, MMLU-Redux: 82.0%, TriviaQA: 74.9%, MMMLU: 74.2%.

What are the context window sizes for Magistral Medium and Mistral Large 3?

Magistral Medium supports an unknown number of tokens and Mistral Large 3 supports 128K 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 3?

Key differences include LLM Stats Score (13.1 vs 10.4). See the full comparison above for benchmark-by-benchmark results.