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Grok-3 vs Magistral Medium

Grok-3 leads the LLM Stats Score 30.4 to 13.1.

xAI · Mistral AI · Updated for 2026

Which is better?

Grok-3 leads the overall LLM Stats Score 30.4 to 13.1, ranking #118 overall.

In the 4 individual benchmarks reported for both models, Grok-3 wins 4; this is a narrower head-to-head signal than the composite indexes.

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

Choose Grok-3

  • overall performance matters — it scores 30.4 and ranks #118 on LLM Stats
  • your work emphasizes reasoning and coding — it leads those capability indexes
  • you value its reported benchmark strengths — it wins 4 of 4 exact shared results

Choose Magistral Medium

  • you want the most recent training data — it shipped Jun 2025
  • you need open weights you can self-host or fine-tune

At a glance

The differences that matter most.

Core performance indexes
30.4
#118
13.1
#247
30.1
#118
13.3
#238
17.6
#117
3.5
#216
Cost, coverage & limits
Benchmark wins
4 of 4
0 of 4
Input price
$3.00 / M
— / M
Output price
$15.00 / M
— / M
Context window
128,000

Capability indexes

Additional strengths measured across groups of related public benchmarks

1 shared
Index
Grok-3
Magistral Medium
29.3#87
11.4#242
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

5 reported for Grok-3 · 6 for Magistral Medium

4 shared

Grok-3 outperforms in 4 benchmarks (AIME 2024, AIME 2025, GPQA, LiveCodeBench), while Magistral Medium is better at 0 benchmarks.

Grok-3 significantly outperforms across most benchmarks.

Mon Sep 21 2026 • llm-stats.com

Human preference

Blind head-to-head votes and playground preference scores

Context Window

Maximum input and output token capacity

Only Grok-3 specifies input context (128,000 tokens). Only Grok-3 specifies output context (8,000 tokens).

xAI
Grok-3
Input128,000 tokens
Output8,000 tokens
Mistral AI
Magistral Medium
Input- tokens
Output- tokens
Mon Sep 21 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Both Grok-3 and Magistral Medium support multimodal inputs.

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

Grok-3

Text
Images
Audio
Video

Magistral Medium

Text
Images
Audio
Video

License

Usage and distribution terms

Grok-3 is licensed under a proprietary license, while Magistral Medium uses Apache 2.0.

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

Grok-3

Proprietary

Closed source

Magistral Medium

Apache 2.0

Open weights

Release Timeline

When each model was launched

Grok-3 was released on 2025-02-17, while Magistral Medium was released on 2025-06-10.

Magistral Medium is 4 months newer than Grok-3.

Grok-3

Feb 17, 2025

1.6 years ago

Magistral Medium

Jun 10, 2025

1.3 years ago

3mo newer

Knowledge Cutoff

When training data ends

Grok-3 has a knowledge cutoff of 2024-11-17, while Magistral Medium has a cutoff of 2025-06-01.

Magistral Medium has more recent training data (up to 2025-06-01), making it potentially better informed about events through that date compared to Grok-3 (2024-11-17).

Grok-3

Nov 2024

Magistral Medium

Jun 2025

7 mo newer

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion

Judge for yourself.

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

Grok-3
✓ Preferred
Magistral Medium
Open in Playground

FAQ

Common questions about Grok-3 vs Magistral Medium.

Which is better, Grok-3 or Magistral Medium?

Grok-3 leads the LLM Stats Score 30.4 to 13.1. Grok-3 is made by xAI and Magistral Medium 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 Grok-3 compare to Magistral Medium in benchmarks?

Grok-3 scores AIME 2024: 93.3%, AIME 2025: 93.3%, GPQA: 84.6%, LiveCodeBench: 79.4%, MMMU: 78.0%. Magistral Medium scores AIME 2024: 73.6%, GPQA: 70.8%, AIME 2025: 64.9%, LiveCodeBench: 50.3%, Aider-Polyglot: 47.1%.

What are the context window sizes for Grok-3 and Magistral Medium?

Grok-3 supports 128K tokens and Magistral Medium 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 Grok-3 and Magistral Medium?

Key differences include LLM Stats Score (30.4 vs 13.1), licensing (Proprietary vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.

Who makes Grok-3 and Magistral Medium?

Grok-3 is developed by xAI and Magistral Medium is developed by Mistral AI.