The AI arena is free today

Open Superagent

Gemini 2.0 Flash vs Magistral Medium

Magistral Medium significantly outperforms across most benchmarks.

Google · Mistral AI · Updated for 2026

Which is better?

Gemini 2.0 Flash outperforms in 0 benchmarks, while Magistral Medium is better at 2 benchmarks (GPQA, LiveCodeBench). Magistral Medium significantly outperforms across most benchmarks.

Based on current benchmark, pricing, and model metadata for 2026.

Choose Gemini 2.0 Flash

  • you want predictable pricing at $0.10/M input and $0.40/M output

Choose Magistral Medium

  • you want the strongest raw capability — it leads on 2 of 2 shared benchmarks
  • you want the most recent training data — it shipped Jun 2025
  • you need open weights you can self-host or fine-tune

At a glance

The differences that matter most.

Gemini 2.0 Flash
Google
Magistral Medium
Mistral AI
Benchmark wins
0 of 2
2 of 2
Input price
$0.10 / M
— / M
Output price
$0.40 / M
— / M
Context window
1,048,576
—
Released
Dec 2024
Jun 2025
License
Proprietary
Apache 2.0

Performance Benchmarks

Comparative analysis across standard metrics

2 benchmarks

Gemini 2.0 Flash outperforms in 0 benchmarks, while Magistral Medium is better at 2 benchmarks (GPQA, LiveCodeBench).

Magistral Medium significantly outperforms across most benchmarks.

Thu Aug 27 2026 • llm-stats.com

Arena Performance

Playground indexes and blind preference scores

Context Window

Maximum input and output token capacity

Only Gemini 2.0 Flash specifies input context (1,048,576 tokens). Only Gemini 2.0 Flash specifies output context (8,192 tokens).

Google
Gemini 2.0 Flash
Input1,048,576 tokens
Output8,192 tokens
Mistral AI
Magistral Medium
Input- tokens
Output- tokens
Thu Aug 27 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Both Gemini 2.0 Flash and Magistral Medium support multimodal inputs.

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

Gemini 2.0 Flash

Text
Images
Audio
Video

Magistral Medium

Text
Images
Audio
Video

License

Usage and distribution terms

Gemini 2.0 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 2.0 Flash

Proprietary

Closed source

Magistral Medium

Apache 2.0

Open weights

Release Timeline

When each model was launched

Gemini 2.0 Flash was released on 2024-12-01, while Magistral Medium was released on 2025-06-10.

Magistral Medium is 6 months newer than Gemini 2.0 Flash.

Gemini 2.0 Flash

Dec 1, 2024

1.7 years ago

Magistral Medium

Jun 10, 2025

1.2 years ago

6mo newer

Knowledge Cutoff

When training data ends

Gemini 2.0 Flash has a knowledge cutoff of 2024-08-01, 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 2.0 Flash (2024-08-01).

Gemini 2.0 Flash

Aug 2024

Magistral Medium

Jun 2025

10 mo newer

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Judge for yourself.

Run your own prompts against Gemini 2.0 Flash and Magistral Medium side-by-side, then vote on the output you prefer.

Gemini 2.0 Flash
✓ Preferred
Magistral Medium
Open in Playground

FAQ

Common questions about Gemini 2.0 Flash vs Magistral Medium.

Which is better, Gemini 2.0 Flash or Magistral Medium?

Magistral Medium significantly outperforms across most benchmarks. Gemini 2.0 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.

How does Gemini 2.0 Flash compare to Magistral Medium in benchmarks?

Gemini 2.0 Flash scores Natural2Code: 92.9%, MATH: 89.7%, FACTS Grounding: 83.6%, MMLU-Pro: 76.4%, EgoSchema: 71.5%. Magistral Medium scores AIME 2024: 73.6%, GPQA: 70.8%, AIME 2025: 64.9%, LiveCodeBench: 50.3%, Aider-Polyglot: 47.1%.

What are the context window sizes for Gemini 2.0 Flash and Magistral Medium?

Gemini 2.0 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.

What are the main differences between Gemini 2.0 Flash and Magistral Medium?

Key differences include licensing (Proprietary vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.

Who makes Gemini 2.0 Flash and Magistral Medium?

Gemini 2.0 Flash is developed by Google and Magistral Medium is developed by Mistral AI.

Related comparisons