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Grok 4.7 vs Magistral Small 2506

Grok 4.7 leads the LLM Stats Score 48.5 to 10.7.

xAI · Mistral AI · Updated for 2026

Which is better?

Grok 4.7 leads the overall LLM Stats Score 48.5 to 10.7, ranking #23 overall.

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

Choose Grok 4.7

  • overall performance matters — it scores 48.5 and ranks #23 on LLM Stats
  • your work emphasizes reasoning and coding — it leads those capability indexes
  • you want the most recent training data — it shipped Sep 2026

Choose Magistral Small 2506

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

At a glance

The differences that matter most.

Core performance indexes
48.5
#23
10.7
#264
37.4
#69
10.9
#262
40.1
#13
5.2
#204
Cost, coverage & limits
Benchmark wins
Input price
$2.00 / M
— / M
Output price
$6.00 / M
— / M
Context window
500,000

Individual benchmarks

23 reported for Grok 4.7 · 4 for Magistral Small 2506

No common benchmarks found

Grok 4.7 and Magistral Small 2506don'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

Context Window

Maximum input and output token capacity

Only Grok 4.7 specifies input context (500,000 tokens).

xAI
Grok 4.7
Input500,000 tokens
Output- tokens
Mistral AI
Magistral Small 2506
Input- tokens
Output- tokens
Tue Sep 22 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Grok 4.7 supports multimodal inputs, whereas Magistral Small 2506 does not.

Grok 4.7 can handle both text and other forms of data like images, making it suitable for multimodal applications.

Grok 4.7

Text
Images
Audio
Video

Magistral Small 2506

Text
Images
Audio
Video

License

Usage and distribution terms

Grok 4.7 is licensed under a proprietary license, while Magistral Small 2506 uses Apache 2.0.

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

Grok 4.7

Proprietary

Closed source

Magistral Small 2506

Apache 2.0

Open weights

Release Timeline

When each model was launched

Grok 4.7 was released on 2026-09-21, while Magistral Small 2506 was released on 2025-06-10.

Grok 4.7 is 16 months newer than Magistral Small 2506.

Grok 4.7

Sep 21, 2026

0 days ago

1.3yr newer
Magistral Small 2506

Jun 10, 2025

1.3 years ago

Knowledge Cutoff

When training data ends

Grok 4.7 has a knowledge cutoff of 2026-06-01, while Magistral Small 2506 has a cutoff of 2025-06-01.

Grok 4.7 has more recent training data (up to 2026-06-01), making it potentially better informed about events through that date compared to Magistral Small 2506 (2025-06-01).

Grok 4.7

Jun 2026

1 yr newer
Magistral Small 2506

Jun 2025

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion

Judge for yourself.

Run your own prompts against Grok 4.7 and Magistral Small 2506 side-by-side, then vote on the output you prefer.

Grok 4.7
✓ Preferred
Magistral Small 2506
Open in Playground

FAQ

Common questions about Grok 4.7 vs Magistral Small 2506.

Which is better, Grok 4.7 or Magistral Small 2506?

Grok 4.7 leads the LLM Stats Score 48.5 to 10.7. Grok 4.7 is made by xAI and Magistral Small 2506 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 4.7 compare to Magistral Small 2506 in benchmarks?

Grok 4.7 scores BixBench MCQ: 88.4%, WMDP-Bio: 88.1%, WMDP-Cyber: 88.1%, WMDP-Chem: 84.9%, CyberGym: 80.3%. Magistral Small 2506 scores AIME 2024: 70.7%, GPQA: 68.2%, AIME 2025: 62.8%, LiveCodeBench: 51.3%.

What are the context window sizes for Grok 4.7 and Magistral Small 2506?

Grok 4.7 supports 500K tokens and Magistral Small 2506 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 4.7 and Magistral Small 2506?

Key differences include LLM Stats Score (48.5 vs 10.7), multimodal support (yes vs no), licensing (Proprietary vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.

Who makes Grok 4.7 and Magistral Small 2506?

Grok 4.7 is developed by xAI and Magistral Small 2506 is developed by Mistral AI.