Model Comparison

Gemini 2.0 Flash Thinking vs Mistral Small

Comparing Gemini 2.0 Flash Thinking and Mistral Small across benchmarks, pricing, and capabilities.

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Performance Benchmarks

Comparative analysis across standard metrics

No common benchmarks found

Gemini 2.0 Flash Thinking and Mistral Small don't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.

Arena Performance

Human preference votes

Context Window

Maximum input and output token capacity

Only Mistral Small specifies input context (32,768 tokens). Only Mistral Small specifies output context (32,768 tokens).

Google
Gemini 2.0 Flash Thinking
Input- tokens
Output- tokens
Mistral AI
Mistral Small
Input32,768 tokens
Output32,768 tokens
Tue May 12 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Gemini 2.0 Flash Thinking supports multimodal inputs, whereas Mistral Small does not.

Gemini 2.0 Flash Thinking can handle both text and other forms of data like images, making it suitable for multimodal applications.

Gemini 2.0 Flash Thinking

Text
Images
Audio
Video

Mistral Small

Text
Images
Audio
Video

License

Usage and distribution terms

Gemini 2.0 Flash Thinking is licensed under a proprietary license, while Mistral Small uses Mistral Research License.

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

Gemini 2.0 Flash Thinking

Proprietary

Closed source

Mistral Small

Mistral Research License

Open weights

Release Timeline

When each model was launched

Gemini 2.0 Flash Thinking was released on 2025-01-21, while Mistral Small was released on 2024-09-17.

Gemini 2.0 Flash Thinking is 4 months newer than Mistral Small.

Gemini 2.0 Flash Thinking

Jan 21, 2025

1.3 years ago

4mo newer
Mistral Small

Sep 17, 2024

1.6 years ago

Knowledge Cutoff

When training data ends

Gemini 2.0 Flash Thinking has a documented knowledge cutoff of 2024-08-01, while Mistral Small's cutoff date is not specified.

We can confirm Gemini 2.0 Flash Thinking's training data extends to 2024-08-01, but cannot make a direct comparison without Mistral Small's cutoff date.

Gemini 2.0 Flash Thinking

Aug 2024

Mistral Small

—

Outputs Comparison

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Key Takeaways

Google
Supports multimodal inputs
Mistral AI
Larger context window (32,768 tokens)
Has open weights

Detailed Comparison

AI Model Comparison Table
Feature
Google
Gemini 2.0 Flash Thinking
Mistral AI
Mistral Small

FAQ

Common questions about Gemini 2.0 Flash Thinking vs Mistral Small.

Which is better, Gemini 2.0 Flash Thinking or Mistral Small?

Gemini 2.0 Flash Thinking (Google) and Mistral Small (Mistral AI) each have strengths in different areas. Compare their benchmark scores, pricing, context windows, and capabilities above to determine which fits your needs.

How does Gemini 2.0 Flash Thinking compare to Mistral Small in benchmarks?

Gemini 2.0 Flash Thinking scores MMMU: 75.4%, GPQA: 74.2%, AIME 2024: 73.3%.

What are the context window sizes for Gemini 2.0 Flash Thinking and Mistral Small?

Gemini 2.0 Flash Thinking supports an unknown number of tokens and Mistral Small supports 33K 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 Thinking and Mistral Small?

Key differences include multimodal support (yes vs no), licensing (Proprietary vs Mistral Research License). See the full comparison above for benchmark-by-benchmark results.

Who makes Gemini 2.0 Flash Thinking and Mistral Small?

Gemini 2.0 Flash Thinking is developed by Google and Mistral Small is developed by Mistral AI.