Model Comparison

Gemini 3.1 Pro vs Mistral SmallWhich is better in 2026?

Comparing Gemini 3.1 Pro and Mistral Small across benchmarks, pricing, and capabilities.

Verdict: Gemini 3.1 Pro vs Mistral Small — which is better?

Gemini 3.1 Pro (by Google) and Mistral Small (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.

On price, Mistral Small is roughly 18.7x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.

Gemini 3.1 Pro also accepts a larger context window (1,048,576 input tokens), making it the stronger choice for long documents and large codebases.

Choose Gemini 3.1 Pro if…

  • you process long inputs — it offers a 1,048,576 token context window
  • you want the most recent training data — it shipped Feb 2026

Choose Mistral Small if…

  • cost matters — it's about 18.7x cheaper per token
  • you need open weights you can self-host or fine-tune
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Performance Benchmarks

Comparative analysis across standard metrics

No common benchmarks found

Gemini 3.1 Pro 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

Pricing Analysis

Price comparison per million tokens

Mistral Small costs less

For input processing, Gemini 3.1 Pro ($2.50/1M tokens) is 12.5x more expensive than Mistral Small ($0.20/1M tokens).

For output processing, Gemini 3.1 Pro ($15.00/1M tokens) is 25.0x more expensive than Mistral Small ($0.60/1M tokens).

In conclusion, Gemini 3.1 Pro is more expensive than Mistral Small.*

* Using a 3:1 ratio of input to output tokens

Lowest available price from all providers
Sun Jun 07 2026 • llm-stats.com
Google
Gemini 3.1 Pro
Input tokens$2.50
Output tokens$15.00
Best providerGoogle
Mistral AI
Mistral Small
Input tokens$0.20
Output tokens$0.60
Best providerMistral
Notice missing or incorrect data?Start an Issue→

Context Window

Maximum input and output token capacity

Gemini 3.1 Pro accepts 1,048,576 input tokens compared to Mistral Small's 32,768 tokens. Gemini 3.1 Pro can generate longer responses up to 65,536 tokens, while Mistral Small is limited to 32,768 tokens.

Google
Gemini 3.1 Pro
Input1,048,576 tokens
Output65,536 tokens
Mistral AI
Mistral Small
Input32,768 tokens
Output32,768 tokens
Sun Jun 07 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Gemini 3.1 Pro supports multimodal inputs, whereas Mistral Small does not.

Gemini 3.1 Pro can handle both text and other forms of data like images, making it suitable for multimodal applications.

Gemini 3.1 Pro

Text
Images
Audio
Video

Mistral Small

Text
Images
Audio
Video

License

Usage and distribution terms

Gemini 3.1 Pro 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 3.1 Pro

Proprietary

Closed source

Mistral Small

Mistral Research License

Open weights

Release Timeline

When each model was launched

Gemini 3.1 Pro was released on 2026-02-19, while Mistral Small was released on 2024-09-17.

Gemini 3.1 Pro is 17 months newer than Mistral Small.

Gemini 3.1 Pro

Feb 19, 2026

3 months ago

1.4yr newer
Mistral Small

Sep 17, 2024

1.7 years ago

Knowledge Cutoff

When training data ends

Gemini 3.1 Pro has a documented knowledge cutoff of 2025-01-31, while Mistral Small's cutoff date is not specified.

We can confirm Gemini 3.1 Pro's training data extends to 2025-01-31, but cannot make a direct comparison without Mistral Small's cutoff date.

Gemini 3.1 Pro

Jan 2025

Mistral Small

—

Provider Availability

Gemini 3.1 Pro is available from Google. Mistral Small is available from Mistral AI.

Gemini 3.1 Pro

google logo
Google
Input Price:Input: $2.50/1MOutput Price:Output: $15.00/1M

Mistral Small

mistral logo
Mistral
Input Price:Input: $0.20/1MOutput Price:Output: $0.60/1M
* Prices shown are per million tokens

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Key Takeaways

Google
Larger context window (1,048,576 tokens)
Supports multimodal inputs
Mistral AI
Less expensive input tokens
Less expensive output tokens
Has open weights

Detailed Comparison

AI Model Comparison Table
Feature
Google
Gemini 3.1 Pro
Mistral AI
Mistral Small

FAQ

Common questions about Gemini 3.1 Pro vs Mistral Small.

Which is better, Gemini 3.1 Pro or Mistral Small?

Gemini 3.1 Pro (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 3.1 Pro compare to Mistral Small in benchmarks?

Gemini 3.1 Pro scores t2-bench: 99.3%, LiveCodeBench Pro: 96.2%, GPQA: 94.3%, MMMLU: 92.6%, BrowseComp: 85.9%.

Is Gemini 3.1 Pro cheaper than Mistral Small?

Mistral Small is 12.5x cheaper for input tokens. Gemini 3.1 Pro costs $2.50/M input and $15.00/M output via google. Mistral Small costs $0.20/M input and $0.60/M output via mistral.

What are the context window sizes for Gemini 3.1 Pro and Mistral Small?

Gemini 3.1 Pro supports 1.0M 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 3.1 Pro and Mistral Small?

Key differences include context window (1.0M vs 33K), input pricing ($2.50 vs $0.20/M), multimodal support (yes vs no), licensing (Proprietary vs Mistral Research License). See the full comparison above for benchmark-by-benchmark results.

Who makes Gemini 3.1 Pro and Mistral Small?

Gemini 3.1 Pro is developed by Google and Mistral Small is developed by Mistral AI.

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