Model Comparison

Gemini 2.5 Pro Preview 06-05 vs Magistral Medium

Gemini 2.5 Pro Preview 06-05 significantly outperforms across most benchmarks.

Want to compare interactively?Try the playground

Performance Benchmarks

Comparative analysis across standard metrics

5 benchmarks

Gemini 2.5 Pro Preview 06-05 outperforms in 5 benchmarks (Aider-Polyglot, AIME 2025, GPQA, Humanity's Last Exam, LiveCodeBench), while Magistral Medium is better at 0 benchmarks.

Gemini 2.5 Pro Preview 06-05 significantly outperforms across most benchmarks.

Thu Apr 16 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 16 2026 • llm-stats.com
Google
Gemini 2.5 Pro Preview 06-05
Input tokens$1.25
Output tokens$10.00
Best providerGoogle
Mistral AI
Magistral Medium
Input tokens$0.00
Output tokens$0.00
Best providerUnknown Organization
Notice missing or incorrect data?Start an Issue→

Context Window

Maximum input and output token capacity

Only Gemini 2.5 Pro Preview 06-05 specifies input context (1,048,576 tokens). Only Gemini 2.5 Pro Preview 06-05 specifies output context (65,535 tokens).

Google
Gemini 2.5 Pro Preview 06-05
Input1,048,576 tokens
Output65,535 tokens
Mistral AI
Magistral Medium
Input- tokens
Output- tokens
Thu Apr 16 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Both Gemini 2.5 Pro Preview 06-05 and Magistral Medium support multimodal inputs.

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

Gemini 2.5 Pro Preview 06-05

Text
Images
Audio
Video

Magistral Medium

Text
Images
Audio
Video

License

Usage and distribution terms

Gemini 2.5 Pro Preview 06-05 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 Pro Preview 06-05

Proprietary

Closed source

Magistral Medium

Apache 2.0

Open weights

Release Timeline

When each model was launched

Gemini 2.5 Pro Preview 06-05 was released on 2025-06-05, while Magistral Medium was released on 2025-06-10.

Magistral Medium is 0 month newer than Gemini 2.5 Pro Preview 06-05.

Gemini 2.5 Pro Preview 06-05

Jun 5, 2025

10 months ago

Magistral Medium

Jun 10, 2025

10 months ago

5d newer

Knowledge Cutoff

When training data ends

Gemini 2.5 Pro Preview 06-05 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 Pro Preview 06-05 (2025-01-31).

Gemini 2.5 Pro Preview 06-05

Jan 2025

Magistral Medium

Jun 2025

5 mo newer

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Key Takeaways

Google
Larger context window (1,048,576 tokens)
Higher Aider-Polyglot score (82.2% vs 47.1%)
Higher AIME 2025 score (88.0% vs 64.9%)
Higher GPQA score (86.4% vs 70.8%)
Higher Humanity's Last Exam score (21.6% vs 9.0%)
Higher LiveCodeBench score (69.0% vs 50.3%)
Mistral AI
Has open weights

Detailed Comparison

AI Model Comparison Table
Feature
Google
Gemini 2.5 Pro Preview 06-05
Mistral AI
Magistral Medium

FAQ

Common questions about Gemini 2.5 Pro Preview 06-05 vs Magistral Medium

Gemini 2.5 Pro Preview 06-05 significantly outperforms across most benchmarks. Gemini 2.5 Pro Preview 06-05 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 Pro Preview 06-05 scores Global-MMLU-Lite: 89.2%, AIME 2025: 88.0%, FACTS Grounding: 87.8%, GPQA: 86.4%, VideoMMMU: 83.6%. Magistral Medium scores AIME 2024: 73.6%, GPQA: 70.8%, AIME 2025: 64.9%, LiveCodeBench: 50.3%, Aider-Polyglot: 47.1%.
Gemini 2.5 Pro Preview 06-05 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 Pro Preview 06-05 is developed by Google and Magistral Medium is developed by Mistral AI.