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Grok-1.5 vs Pixtral Large

Pixtral Large leads the LLM Stats Score 11.8 to -2.5.

xAI · Mistral AI · Updated for 2026

Which is better?

Pixtral Large leads the overall LLM Stats Score 11.8 to -2.5, ranking #245 overall.

In the 3 individual benchmarks reported for both models, Pixtral Large wins 3; 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-1.5

  • you are already invested in the xAI ecosystem

Choose Pixtral Large

  • overall performance matters — it scores 11.8 and ranks #245 on LLM Stats
  • your work emphasizes reasoning — it leads those capability indexes
  • you value its reported benchmark strengths — it wins 3 of 3 exact shared results
  • you want the most recent training data — it shipped Nov 2024
  • you need open weights you can self-host or fine-tune

At a glance

The differences that matter most.

Core performance indexes
-2.5
#328
11.8
#245
-2.0
#318
13.1
#228
Cost, coverage & limits
Benchmark wins
0 of 3
3 of 3
Input price
— / M
$2.00 / M
Output price
— / M
$6.00 / M
Context window
128,000

Capability indexes

Additional strengths measured across groups of related public benchmarks

2 shared
Index
Grok-1.5
Pixtral Large
-4.8#197
11.4#108
-2.2#156
13.9#95
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

9 reported for Grok-1.5 · 7 for Pixtral Large

3 shared

Grok-1.5 outperforms in 0 benchmarks, while Pixtral Large is better at 3 benchmarks (DocVQA, MathVista, MMMU).

Pixtral Large significantly outperforms across most benchmarks.

Mon Sep 07 2026 • llm-stats.com

Human preference

Blind head-to-head votes and playground preference scores

Context Window

Maximum input and output token capacity

Only Pixtral Large specifies input context (128,000 tokens). Only Pixtral Large specifies output context (128,000 tokens).

xAI
Grok-1.5
Input- tokens
Output- tokens
Mistral AI
Pixtral Large
Input128,000 tokens
Output128,000 tokens
Mon Sep 07 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Pixtral Large supports multimodal inputs, whereas Grok-1.5 does not.

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

Grok-1.5

Text
Images
Audio
Video

Pixtral Large

Text
Images
Audio
Video

License

Usage and distribution terms

Grok-1.5 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-1.5

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-1.5 was released on 2024-03-28, while Pixtral Large was released on 2024-11-18.

Pixtral Large is 8 months newer than Grok-1.5.

Grok-1.5

Mar 28, 2024

2.4 years ago

Pixtral Large

Nov 18, 2024

1.8 years ago

7mo newer

Knowledge Cutoff

When training data ends

Neither model specifies a knowledge cutoff date.

Unable to compare the recency of their training data.

No cutoff dates available

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion

Judge for yourself.

Run your own prompts against Grok-1.5 and Pixtral Large side-by-side, then vote on the output you prefer.

Grok-1.5
✓ Preferred
Pixtral Large
Open in Playground

FAQ

Common questions about Grok-1.5 vs Pixtral Large.

Which is better, Grok-1.5 or Pixtral Large?

Pixtral Large leads the LLM Stats Score 11.8 to -2.5. Grok-1.5 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-1.5 compare to Pixtral Large in benchmarks?

Grok-1.5 scores GSM8k: 90.0%, DocVQA: 85.6%, MMLU: 81.3%, HumanEval: 74.1%, MMMU: 53.6%. Pixtral Large scores AI2D: 93.8%, DocVQA: 93.3%, ChartQA: 88.1%, VQAv2: 80.9%, MM-MT-Bench: 74.0%.

What are the context window sizes for Grok-1.5 and Pixtral Large?

Grok-1.5 supports an unknown number of 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-1.5 and Pixtral Large?

Key differences include LLM Stats Score (-2.5 vs 11.8), multimodal support (no vs yes), 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-1.5 and Pixtral Large?

Grok-1.5 is developed by xAI and Pixtral Large is developed by Mistral AI.