Model Comparison

Grok-1.5 vs Pixtral Large

Pixtral Large significantly outperforms across most benchmarks.

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Performance Benchmarks

Comparative analysis across standard metrics

3 benchmarks

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.

Fri Apr 10 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

Cost data unavailable.

Lowest available price from all providers
Fri Apr 10 2026 • llm-stats.com
xAI
Grok-1.5
Input tokens$0.00
Output tokens$0.00
Best providerUnknown Organization
Mistral AI
Pixtral Large
Input tokens$2.00
Output tokens$6.00
Best providerMistral
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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
Fri Apr 10 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

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

2.0 years ago

Pixtral Large

Nov 18, 2024

1.4 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

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Key Takeaways

xAI
Mistral AI
Larger context window (128,000 tokens)
Supports multimodal inputs
Has open weights
Higher DocVQA score (93.3% vs 85.6%)
Higher MathVista score (69.4% vs 52.8%)
Higher MMMU score (64.0% vs 53.6%)

Detailed Comparison

AI Model Comparison Table
Feature
xAI
Grok-1.5
Mistral AI
Pixtral Large

FAQ

Common questions about Grok-1.5 vs Pixtral Large

Pixtral Large significantly outperforms across most benchmarks. 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 benchmark scores, pricing, and capabilities above.
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%.
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.
Key differences include 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.
Grok-1.5 is developed by xAI and Pixtral Large is developed by Mistral AI.