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Grok 4.7 vs Pixtral Large

Grok 4.7 leads the LLM Stats Score 48.3 to 11.8. Grok 4.7 and Pixtral Large cost the same.

xAI · Mistral AI · Updated for 2026

Which is better?

Grok 4.7 leads the overall LLM Stats Score 48.3 to 11.8, ranking #24 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 48.3 and ranks #24 on LLM Stats
  • your work emphasizes reasoning — 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 Pixtral Large

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

At a glance

The differences that matter most.

Grok 4.7
xAI
Pixtral Large
Mistral AI
Core performance indexes
LLM Stats Score
48.3
#24
11.8
#260
Reasoning
37.1
#72
13.1
#244
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 · 7 for Pixtral Large

No common benchmarks found

Grok 4.7 and Pixtral Largedon'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 Pixtral Large ($2.00/1M tokens).

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

In conclusion, Grok 4.7 and Pixtral Large 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
Pixtral Large
Input tokens$2.00
Output tokens$6.00
Best providerMistral
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 Pixtral Large's 128,000 tokens. Only Pixtral Large specifies output context (128,000 tokens).

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

Input capabilities

Documented input modalities across available providers

Both Grok 4.7 and Pixtral Large support multimodal inputs.

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

Grok 4.7

Text
Images
Audio
Video

Pixtral Large

Text
Images
Audio
Video

License

Usage and distribution terms

Grok 4.7 is licensed under a proprietary license, while Pixtral Large uses Mistral Research License (MRL) for research; Mistral Commercial License for commercial use.

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

Grok 4.7

Proprietary

Closed source

Pixtral Large

Mistral Research License (MRL) for research; Mistral Commercial License for commercial use

Open weights

Release Timeline

When each model was launched

Grok 4.7 was released on 2026-09-21, while Pixtral Large was released on 2024-11-18.

Grok 4.7 is 22 months newer than Pixtral Large.

Grok 4.7

Sep 21, 2026

1 days ago

1.8yr newer
Pixtral Large

Nov 18, 2024

1.8 years ago

Knowledge Cutoff

When training data ends

Grok 4.7 has a documented knowledge cutoff of 2026-06-01, while Pixtral Large'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 Pixtral Large's cutoff date.

Grok 4.7

Jun 2026

Pixtral Large

—

Provider Availability

Grok 4.7 is available from xAI. Pixtral Large is available from Mistral AI.

Grok 4.7

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

Pixtral Large

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

Grok 4.7
✓ Preferred
Pixtral Large
Open in Playground

FAQ

Common questions about Grok 4.7 vs Pixtral Large.

Which is better, Grok 4.7 or Pixtral Large?

Grok 4.7 leads the LLM Stats Score 48.3 to 11.8. Grok 4.7 is made by xAI and Pixtral Large 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 Pixtral Large 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%. Pixtral Large scores AI2D: 93.8%, DocVQA: 93.3%, ChartQA: 88.1%, VQAv2: 80.9%, MM-MT-Bench: 74.0%.

Is Grok 4.7 cheaper than Pixtral Large?

Both models cost $2.00 per million input tokens.

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

Grok 4.7 supports 500K tokens and Pixtral Large 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 Pixtral Large?

Key differences include LLM Stats Score (48.3 vs 11.8), context window (500K vs 128K), licensing (Proprietary vs Mistral Research License (MRL) for research; Mistral Commercial License for commercial use). See the full comparison above for benchmark-by-benchmark results.

Who makes Grok 4.7 and Pixtral Large?

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

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