Model Comparison

Gemini 1.5 Pro vs Pixtral Large

Both models are evenly matched across the benchmarks.

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Performance Benchmarks

Comparative analysis across standard metrics

2 benchmarks

Gemini 1.5 Pro outperforms in 1 benchmarks (MMMU), while Pixtral Large is better at 1 benchmark (MathVista).

Both models are evenly matched across the benchmarks.

Thu Apr 02 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
Thu Apr 02 2026 • llm-stats.com
Google
Gemini 1.5 Pro
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
Notice missing or incorrect data?Start an Issue→

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).

Google
Gemini 1.5 Pro
Input- tokens
Output- tokens
Mistral AI
Pixtral Large
Input128,000 tokens
Output128,000 tokens
Thu Apr 02 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Both Gemini 1.5 Pro and Pixtral Large support multimodal inputs.

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

Gemini 1.5 Pro

Text
Images
Audio
Video

Pixtral Large

Text
Images
Audio
Video

License

Usage and distribution terms

Gemini 1.5 Pro 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.

Gemini 1.5 Pro

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

Gemini 1.5 Pro was released on 2024-05-01, while Pixtral Large was released on 2024-11-18.

Pixtral Large is 7 months newer than Gemini 1.5 Pro.

Gemini 1.5 Pro

May 1, 2024

1.9 years ago

Pixtral Large

Nov 18, 2024

1.4 years ago

6mo newer

Knowledge Cutoff

When training data ends

Gemini 1.5 Pro has a documented knowledge cutoff of 2023-11-01, while Pixtral Large's cutoff date is not specified.

We can confirm Gemini 1.5 Pro's training data extends to 2023-11-01, but cannot make a direct comparison without Pixtral Large's cutoff date.

Gemini 1.5 Pro

Nov 2023

Pixtral Large

—

Outputs Comparison

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Key Takeaways

Google
Higher MMMU score (65.9% vs 64.0%)
Mistral AI
Larger context window (128,000 tokens)
Has open weights
Higher MathVista score (69.4% vs 68.1%)

Detailed Comparison

AI Model Comparison Table
Feature
Google
Gemini 1.5 Pro
Mistral AI
Pixtral Large

FAQ

Common questions about Gemini 1.5 Pro vs Pixtral Large

Both models are evenly matched across the benchmarks. Gemini 1.5 Pro is made by Google and Pixtral Large is made by Mistral AI. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.
Gemini 1.5 Pro scores XSTest: 98.8%, HellaSwag: 93.3%, GSM8k: 90.8%, BIG-Bench Hard: 89.2%, MGSM: 87.5%. Pixtral Large scores AI2D: 93.8%, DocVQA: 93.3%, ChartQA: 88.1%, VQAv2: 80.9%, MM-MT-Bench: 74.0%.
Gemini 1.5 Pro 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 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.
Gemini 1.5 Pro is developed by Google and Pixtral Large is developed by Mistral AI.