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Grok 4.7 vs Mistral Large 3 (675B Instruct 2512 NVFP4)

Grok 4.7 leads the LLM Stats Score 48.5 to 8.9.

xAI · Mistral AI · Updated for 2026

Which is better?

Grok 4.7 leads the overall LLM Stats Score 48.5 to 8.9, ranking #22 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 #22 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 Mistral Large 3 (675B Instruct 2512 NVFP4)

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

At a glance

The differences that matter most.

Grok 4.7
xAI
Mistral Large 3 (675B Instruct 2512 NVFP4)
Mistral AI
Core performance indexes
LLM Stats Score
48.5
#22
8.9
#277
Reasoning
37.4
#68
9.1
#269
Coding
40.1
#13
1.4
#235
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 · 5 for Mistral Large 3 (675B Instruct 2512 NVFP4)

No common benchmarks found

Grok 4.7 and Mistral Large 3 (675B Instruct 2512 NVFP4)don'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
Mistral Large 3 (675B Instruct 2512 NVFP4)
Input- tokens
Output- tokens
Tue Sep 22 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Both Grok 4.7 and Mistral Large 3 (675B Instruct 2512 NVFP4) support multimodal inputs.

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

Grok 4.7

Text
Images
Audio
Video

Mistral Large 3 (675B Instruct 2512 NVFP4)

Text
Images
Audio
Video

License

Usage and distribution terms

Grok 4.7 is licensed under a proprietary license, while Mistral Large 3 (675B Instruct 2512 NVFP4) 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

Mistral Large 3 (675B Instruct 2512 NVFP4)

Apache 2.0

Open weights

Release Timeline

When each model was launched

Grok 4.7 was released on 2026-09-21, while Mistral Large 3 (675B Instruct 2512 NVFP4) was released on 2025-12-04.

Grok 4.7 is 10 months newer than Mistral Large 3 (675B Instruct 2512 NVFP4).

Grok 4.7

Sep 21, 2026

0 days ago

9mo newer
Mistral Large 3 (675B Instruct 2512 NVFP4)

Dec 4, 2025

9 months ago

Knowledge Cutoff

When training data ends

Grok 4.7 has a documented knowledge cutoff of 2026-05-01, while Mistral Large 3 (675B Instruct 2512 NVFP4)'s cutoff date is not specified.

We can confirm Grok 4.7's training data extends to 2026-05-01, but cannot make a direct comparison without Mistral Large 3 (675B Instruct 2512 NVFP4)'s cutoff date.

Grok 4.7

May 2026

Mistral Large 3 (675B Instruct 2512 NVFP4)

—

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Judge for yourself.

Run your own prompts against Grok 4.7 and Mistral Large 3 (675B Instruct 2512 NVFP4) side-by-side, then vote on the output you prefer.

Grok 4.7
✓ Preferred
Mistral Large 3 (675B Instruct 2512 NVFP4)
Open in Playground

FAQ

Common questions about Grok 4.7 vs Mistral Large 3 (675B Instruct 2512 NVFP4).

Which is better, Grok 4.7 or Mistral Large 3 (675B Instruct 2512 NVFP4)?

Grok 4.7 leads the LLM Stats Score 48.5 to 8.9. Grok 4.7 is made by xAI and Mistral Large 3 (675B Instruct 2512 NVFP4) 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 Mistral Large 3 (675B Instruct 2512 NVFP4) 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%. Mistral Large 3 (675B Instruct 2512 NVFP4) scores MMMLU: 85.5%, AMC_2022_23: 52.0%, GPQA: 43.9%, LiveCodeBench: 34.4%, SimpleQA: 23.8%.

What are the context window sizes for Grok 4.7 and Mistral Large 3 (675B Instruct 2512 NVFP4)?

Grok 4.7 supports 500K tokens and Mistral Large 3 (675B Instruct 2512 NVFP4) 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 Mistral Large 3 (675B Instruct 2512 NVFP4)?

Key differences include LLM Stats Score (48.5 vs 8.9), licensing (Proprietary vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.

Who makes Grok 4.7 and Mistral Large 3 (675B Instruct 2512 NVFP4)?

Grok 4.7 is developed by xAI and Mistral Large 3 (675B Instruct 2512 NVFP4) is developed by Mistral AI.

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