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Grok 4.7 vs Mistral Large 2

Grok 4.7 leads the LLM Stats Score 48.5 to 7.4. Grok 4.7 and Mistral Large 2 cost the same.

xAI · Mistral AI · Updated for 2026

Which is better?

Grok 4.7 leads the overall LLM Stats Score 48.5 to 7.4, ranking #23 overall.

Grok 4.7 also accepts a larger context window (500,000 input tokens), making it the stronger choice for long documents and large codebases.

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 process long inputs — it offers a 500,000 token context window
  • you want the most recent training data — it shipped Sep 2026

Choose Mistral Large 2

  • 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
7.4
#291
37.4
#69
7.3
#284
40.1
#13
13.0
#141
Cost, coverage & limits
Benchmark wins
Input price
$2.00 / M
$2.00 / M
Output price
$6.00 / M
$6.00 / M
Context window
500,000
128,000

Individual benchmarks

23 reported for Grok 4.7 · 5 for Mistral Large 2

No common benchmarks found

Grok 4.7 and Mistral Large 2don'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

Pricing Analysis

Price comparison per million tokens

For input processing, Grok 4.7 ($2.00/1M tokens) costs the same as Mistral Large 2 ($2.00/1M tokens).

For output processing, Grok 4.7 ($6.00/1M tokens) costs the same as Mistral Large 2 ($6.00/1M tokens).

In conclusion, Grok 4.7 and Mistral Large 2 cost the same.*

* Using a 3:1 ratio of input to output tokens

Lowest available price from all providers
Tue Sep 22 2026 • llm-stats.com
xAI
Grok 4.7
Input tokens$2.00
Output tokens$6.00
Best providerxAI
Mistral AI
Mistral Large 2
Input tokens$2.00
Output tokens$6.00
Best providerGoogle
Notice missing or incorrect data?Start an Issue

Context Window

Maximum input and output token capacity

Grok 4.7 accepts 500,000 input tokens compared to Mistral Large 2's 128,000 tokens. Only Mistral Large 2 specifies output context (128,000 tokens).

xAI
Grok 4.7
Input500,000 tokens
Output- tokens
Mistral AI
Mistral Large 2
Input128,000 tokens
Output128,000 tokens
Tue Sep 22 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Grok 4.7 supports multimodal inputs, whereas Mistral Large 2 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

Mistral Large 2

Text
Images
Audio
Video

License

Usage and distribution terms

Grok 4.7 is licensed under a proprietary license, while Mistral Large 2 uses Mistral Research License.

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

Grok 4.7

Proprietary

Closed source

Mistral Large 2

Mistral Research License

Open weights

Release Timeline

When each model was launched

Grok 4.7 was released on 2026-09-21, while Mistral Large 2 was released on 2024-07-24.

Grok 4.7 is 26 months newer than Mistral Large 2.

Grok 4.7

Sep 21, 2026

1 days ago

2.2yr newer
Mistral Large 2

Jul 24, 2024

2.2 years ago

Knowledge Cutoff

When training data ends

Grok 4.7 has a documented knowledge cutoff of 2026-06-01, while Mistral Large 2's cutoff date is not specified.

We can confirm Grok 4.7's training data extends to 2026-06-01, but cannot make a direct comparison without Mistral Large 2's cutoff date.

Grok 4.7

Jun 2026

Mistral Large 2

Provider Availability

Grok 4.7 is available from xAI. Mistral Large 2 is available from Google, Mistral AI.

Grok 4.7

xai logo
xAI
Input Price:Input: $2.00/1MOutput Price:Output: $6.00/1M

Mistral Large 2

google logo
Google
Input Price:Input: $2.00/1MOutput Price:Output: $6.00/1M
mistral logo
Mistral
Input Price:Input: $2.00/1MOutput Price:Output: $6.00/1M
* Prices shown are per million tokens

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 2 side-by-side, then vote on the output you prefer.

Grok 4.7
✓ Preferred
Mistral Large 2
Open in Playground

FAQ

Common questions about Grok 4.7 vs Mistral Large 2.

Which is better, Grok 4.7 or Mistral Large 2?

Grok 4.7 leads the LLM Stats Score 48.5 to 7.4. Grok 4.7 is made by xAI and Mistral Large 2 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 2 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 2 scores GSM8k: 93.0%, HumanEval: 92.0%, MT-Bench: 86.3%, MMLU: 84.0%, MMLU French: 82.8%.

Is Grok 4.7 cheaper than Mistral Large 2?

Both models cost $2.00 per million input tokens.

What are the context window sizes for Grok 4.7 and Mistral Large 2?

Grok 4.7 supports 500K tokens and Mistral Large 2 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 Grok 4.7 and Mistral Large 2?

Key differences include LLM Stats Score (48.5 vs 7.4), context window (500K vs 128K), multimodal support (yes vs no), licensing (Proprietary vs Mistral Research License). See the full comparison above for benchmark-by-benchmark results.

Who makes Grok 4.7 and Mistral Large 2?

Grok 4.7 is developed by xAI and Mistral Large 2 is developed by Mistral AI.