Model Comparison

Gemini 2.5 Flash-Lite vs Magistral Small 2506

Magistral Small 2506 significantly outperforms across most benchmarks.

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Performance Benchmarks

Comparative analysis across standard metrics

3 benchmarks

Gemini 2.5 Flash-Lite outperforms in 0 benchmarks, while Magistral Small 2506 is better at 3 benchmarks (AIME 2025, GPQA, LiveCodeBench).

Magistral Small 2506 significantly outperforms across most benchmarks.

Thu May 14 2026 • llm-stats.com

Arena Performance

Human preference votes

Context Window

Maximum input and output token capacity

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

Google
Gemini 2.5 Flash-Lite
Input1,048,576 tokens
Output65,536 tokens
Mistral AI
Magistral Small 2506
Input- tokens
Output- tokens
Thu May 14 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Gemini 2.5 Flash-Lite supports multimodal inputs, whereas Magistral Small 2506 does not.

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

Gemini 2.5 Flash-Lite

Text
Images
Audio
Video

Magistral Small 2506

Text
Images
Audio
Video

License

Usage and distribution terms

Gemini 2.5 Flash-Lite is licensed under Creative Commons Attribution 4.0 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 Flash-Lite

Creative Commons Attribution 4.0 License

Open weights

Magistral Small 2506

Apache 2.0

Open weights

Release Timeline

When each model was launched

Gemini 2.5 Flash-Lite was released on 2025-06-17, while Magistral Small 2506 was released on 2025-06-10.

Gemini 2.5 Flash-Lite is 0 month newer than Magistral Small 2506.

Gemini 2.5 Flash-Lite

Jun 17, 2025

11 months ago

1w newer
Magistral Small 2506

Jun 10, 2025

11 months ago

Knowledge Cutoff

When training data ends

Gemini 2.5 Flash-Lite has a knowledge cutoff of 2025-01-01, 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 Flash-Lite (2025-01-01).

Gemini 2.5 Flash-Lite

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
Mistral AI
Higher AIME 2025 score (62.8% vs 49.8%)
Higher GPQA score (68.2% vs 64.6%)
Higher LiveCodeBench score (51.3% vs 33.7%)

Detailed Comparison

AI Model Comparison Table
Feature
Google
Gemini 2.5 Flash-Lite
Mistral AI
Magistral Small 2506

FAQ

Common questions about Gemini 2.5 Flash-Lite vs Magistral Small 2506.

Which is better, Gemini 2.5 Flash-Lite or Magistral Small 2506?

Magistral Small 2506 significantly outperforms across most benchmarks. Gemini 2.5 Flash-Lite 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.

How does Gemini 2.5 Flash-Lite compare to Magistral Small 2506 in benchmarks?

Gemini 2.5 Flash-Lite scores FACTS Grounding: 84.1%, Global-MMLU-Lite: 81.1%, MMMU: 72.9%, GPQA: 64.6%, Vibe-Eval: 51.3%. Magistral Small 2506 scores AIME 2024: 70.7%, GPQA: 68.2%, AIME 2025: 62.8%, LiveCodeBench: 51.3%.

What are the context window sizes for Gemini 2.5 Flash-Lite and Magistral Small 2506?

Gemini 2.5 Flash-Lite 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.

What are the main differences between Gemini 2.5 Flash-Lite and Magistral Small 2506?

Key differences include multimodal support (yes vs no), licensing (Creative Commons Attribution 4.0 License vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.

Who makes Gemini 2.5 Flash-Lite and Magistral Small 2506?

Gemini 2.5 Flash-Lite is developed by Google and Magistral Small 2506 is developed by Mistral AI.