Model Comparison

Gemini 2.5 Flash vs Magistral Medium

Gemini 2.5 Flash significantly outperforms across most benchmarks.

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Performance Benchmarks

Comparative analysis across standard metrics

5 benchmarks

Gemini 2.5 Flash outperforms in 5 benchmarks (Aider-Polyglot, AIME 2024, AIME 2025, GPQA, Humanity's Last Exam), while Magistral Medium is better at 0 benchmarks.

Gemini 2.5 Flash significantly outperforms across most benchmarks.

Tue Apr 21 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
Tue Apr 21 2026 • llm-stats.com
Google
Gemini 2.5 Flash
Input tokens$0.30
Output tokens$2.50
Best providerGoogle
Mistral AI
Magistral Medium
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 Flash specifies input context (1,048,576 tokens). Only Gemini 2.5 Flash specifies output context (65,536 tokens).

Google
Gemini 2.5 Flash
Input1,048,576 tokens
Output65,536 tokens
Mistral AI
Magistral Medium
Input- tokens
Output- tokens
Tue Apr 21 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Both Gemini 2.5 Flash and Magistral Medium support multimodal inputs.

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

Gemini 2.5 Flash

Text
Images
Audio
Video

Magistral Medium

Text
Images
Audio
Video

License

Usage and distribution terms

Gemini 2.5 Flash is licensed under a proprietary license, while Magistral Medium uses Apache 2.0.

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

Gemini 2.5 Flash

Proprietary

Closed source

Magistral Medium

Apache 2.0

Open weights

Release Timeline

When each model was launched

Gemini 2.5 Flash was released on 2025-05-20, while Magistral Medium was released on 2025-06-10.

Magistral Medium is 1 month newer than Gemini 2.5 Flash.

Gemini 2.5 Flash

May 20, 2025

11 months ago

Magistral Medium

Jun 10, 2025

10 months ago

3w newer

Knowledge Cutoff

When training data ends

Gemini 2.5 Flash has a knowledge cutoff of 2025-01-31, while Magistral Medium has a cutoff of 2025-06-01.

Magistral Medium 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 Flash (2025-01-31).

Gemini 2.5 Flash

Jan 2025

Magistral Medium

Jun 2025

5 mo newer

Outputs Comparison

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Key Takeaways

Google
Larger context window (1,048,576 tokens)
Higher Aider-Polyglot score (61.9% vs 47.1%)
Higher AIME 2024 score (88.0% vs 73.6%)
Higher AIME 2025 score (72.0% vs 64.9%)
Higher GPQA score (82.8% vs 70.8%)
Higher Humanity's Last Exam score (11.0% vs 9.0%)
Mistral AI
Has open weights
GoogleGemini 2.5 Flash
Mistral AIMagistral Medium
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Detailed Comparison

AI Model Comparison Table
Feature
Google
Gemini 2.5 Flash
Mistral AI
Magistral Medium

FAQ

Common questions about Gemini 2.5 Flash vs Magistral Medium

Gemini 2.5 Flash significantly outperforms across most benchmarks. Gemini 2.5 Flash is made by Google and Magistral Medium is made by Mistral AI. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.
Gemini 2.5 Flash scores Global-MMLU-Lite: 88.4%, AIME 2024: 88.0%, FACTS Grounding: 85.3%, GPQA: 82.8%, MMMU: 79.7%. Magistral Medium scores AIME 2024: 73.6%, GPQA: 70.8%, AIME 2025: 64.9%, LiveCodeBench: 50.3%, Aider-Polyglot: 47.1%.
Gemini 2.5 Flash supports 1.0M tokens and Magistral Medium 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 licensing (Proprietary vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.
Gemini 2.5 Flash is developed by Google and Magistral Medium is developed by Mistral AI.