Model Comparison

Gemini 2.5 Pro vs Magistral Small 2506

Gemini 2.5 Pro significantly outperforms across most benchmarks.

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Performance Benchmarks

Comparative analysis across standard metrics

3 benchmarks

Gemini 2.5 Pro outperforms in 3 benchmarks (AIME 2024, AIME 2025, GPQA), while Magistral Small 2506 is better at 0 benchmarks.

Gemini 2.5 Pro significantly outperforms across most benchmarks.

Mon Apr 13 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
Mon Apr 13 2026 • llm-stats.com
Google
Gemini 2.5 Pro
Input tokens$1.25
Output tokens$10.00
Best providerGoogle
Mistral AI
Magistral Small 2506
Input tokens$0.00
Output tokens$0.00
Best providerUnknown Organization
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Context Window

Maximum input and output token capacity

Only Gemini 2.5 Pro specifies input context (1,048,576 tokens). Only Gemini 2.5 Pro specifies output context (65,536 tokens).

Google
Gemini 2.5 Pro
Input1,048,576 tokens
Output65,536 tokens
Mistral AI
Magistral Small 2506
Input- tokens
Output- tokens
Mon Apr 13 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Gemini 2.5 Pro supports multimodal inputs, whereas Magistral Small 2506 does not.

Gemini 2.5 Pro can handle both text and other forms of data like images, making it suitable for multimodal applications.

Gemini 2.5 Pro

Text
Images
Audio
Video

Magistral Small 2506

Text
Images
Audio
Video

License

Usage and distribution terms

Gemini 2.5 Pro is licensed under a proprietary license, while Magistral Small 2506 uses Apache 2.0.

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

Gemini 2.5 Pro

Proprietary

Closed source

Magistral Small 2506

Apache 2.0

Open weights

Release Timeline

When each model was launched

Gemini 2.5 Pro was released on 2025-05-20, while Magistral Small 2506 was released on 2025-06-10.

Magistral Small 2506 is 1 month newer than Gemini 2.5 Pro.

Gemini 2.5 Pro

May 20, 2025

10 months ago

Magistral Small 2506

Jun 10, 2025

10 months ago

3w newer

Knowledge Cutoff

When training data ends

Gemini 2.5 Pro has a knowledge cutoff of 2025-01-31, while Magistral Small 2506 has a cutoff of 2025-06-01.

Magistral Small 2506 has more recent training data (up to 2025-06-01), making it potentially better informed about events through that date compared to Gemini 2.5 Pro (2025-01-31).

Gemini 2.5 Pro

Jan 2025

Magistral Small 2506

Jun 2025

5 mo newer

Outputs Comparison

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Key Takeaways

Google
Larger context window (1,048,576 tokens)
Supports multimodal inputs
Higher AIME 2024 score (92.0% vs 70.7%)
Higher AIME 2025 score (83.0% vs 62.8%)
Higher GPQA score (83.0% vs 68.2%)
Mistral AI
Has open weights
GoogleGemini 2.5 Pro
Mistral AIMagistral Small 2506
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Detailed Comparison

AI Model Comparison Table
Feature
Google
Gemini 2.5 Pro
Mistral AI
Magistral Small 2506

FAQ

Common questions about Gemini 2.5 Pro vs Magistral Small 2506

Gemini 2.5 Pro significantly outperforms across most benchmarks. Gemini 2.5 Pro is made by Google and Magistral Small 2506 is made by Mistral AI. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.
Gemini 2.5 Pro scores MRCR: 93.0%, AIME 2024: 92.0%, Global-MMLU-Lite: 88.6%, Video-MME: 84.8%, AIME 2025: 83.0%. Magistral Small 2506 scores AIME 2024: 70.7%, GPQA: 68.2%, AIME 2025: 62.8%, LiveCodeBench: 51.3%.
Gemini 2.5 Pro supports 1.0M tokens and Magistral Small 2506 supports an unknown number of tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.
Key differences include multimodal support (yes vs no), licensing (Proprietary vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.
Gemini 2.5 Pro is developed by Google and Magistral Small 2506 is developed by Mistral AI.