Model Comparison

Gemini 2.5 Flash-Lite vs Magistral Small 2506Which is better in 2026?

Magistral Small 2506 significantly outperforms across most benchmarks.

Verdict: Gemini 2.5 Flash-Lite vs Magistral Small 2506 — which is better?

Gemini 2.5 Flash-Lite (by Google) and Magistral Small 2506 (by Mistral AI) are two of the AI models people compare most. Here is how they stack up on benchmarks, price and capabilities, and which one to pick in 2026.

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.

Choose Gemini 2.5 Flash-Lite if…

  • you want the most recent training data — it shipped Jun 2025

Choose Magistral Small 2506 if…

  • you want the strongest raw capability — it leads on 3 of 3 shared benchmarks
Want to compare interactively?Try the playground

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.

Sat Jun 13 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
Sat Jun 13 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

12 months ago

1w newer
Magistral Small 2506

Jun 10, 2025

1.0 years 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.

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