Model Comparison

Gemini 3.1 Pro vs Mistral Small 3 24B InstructWhich is better in 2026?

Gemini 3.1 Pro significantly outperforms across most benchmarks. Mistral Small 3 24B Instruct is 64.3x cheaper per token.

Verdict: Gemini 3.1 Pro vs Mistral Small 3 24B Instruct — which is better?

Gemini 3.1 Pro (by Google) and Mistral Small 3 24B Instruct (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 3.1 Pro outperforms in 1 benchmarks (GPQA), while Mistral Small 3 24B Instruct is better at 0 benchmarks. Gemini 3.1 Pro significantly outperforms across most benchmarks.

On price, Mistral Small 3 24B Instruct is roughly 64.3x 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 want the strongest raw capability — it leads on 1 of 1 shared benchmarks
  • 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 3 24B Instruct if…

  • cost matters — it's about 64.3x 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

1 benchmarks

Gemini 3.1 Pro outperforms in 1 benchmarks (GPQA), while Mistral Small 3 24B Instruct is better at 0 benchmarks.

Gemini 3.1 Pro significantly outperforms across most benchmarks.

Sun Jun 07 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

Mistral Small 3 24B Instruct costs less

For input processing, Gemini 3.1 Pro ($2.50/1M tokens) is 35.7x more expensive than Mistral Small 3 24B Instruct ($0.07/1M tokens).

For output processing, Gemini 3.1 Pro ($15.00/1M tokens) is 107.1x more expensive than Mistral Small 3 24B Instruct ($0.14/1M tokens).

In conclusion, Gemini 3.1 Pro is more expensive than Mistral Small 3 24B Instruct.*

* 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 3 24B Instruct
Input tokens$0.07
Output tokens$0.14
Best providerDeepinfra
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 3 24B Instruct's 32,000 tokens. Gemini 3.1 Pro can generate longer responses up to 65,536 tokens, while Mistral Small 3 24B Instruct is limited to 32,000 tokens.

Google
Gemini 3.1 Pro
Input1,048,576 tokens
Output65,536 tokens
Mistral AI
Mistral Small 3 24B Instruct
Input32,000 tokens
Output32,000 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 3 24B Instruct 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 3 24B Instruct

Text
Images
Audio
Video

License

Usage and distribution terms

Gemini 3.1 Pro is licensed under a proprietary license, while Mistral Small 3 24B Instruct uses Apache 2.0.

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 3 24B Instruct

Apache 2.0

Open weights

Release Timeline

When each model was launched

Gemini 3.1 Pro was released on 2026-02-19, while Mistral Small 3 24B Instruct was released on 2025-01-30.

Gemini 3.1 Pro is 13 months newer than Mistral Small 3 24B Instruct.

Gemini 3.1 Pro

Feb 19, 2026

3 months ago

1.1yr newer
Mistral Small 3 24B Instruct

Jan 30, 2025

1.4 years ago

Knowledge Cutoff

When training data ends

Gemini 3.1 Pro has a knowledge cutoff of 2025-01-31, while Mistral Small 3 24B Instruct has a cutoff of 2023-10-01.

Gemini 3.1 Pro has more recent training data (up to 2025-01-31), making it potentially better informed about events through that date compared to Mistral Small 3 24B Instruct (2023-10-01).

Gemini 3.1 Pro

Jan 2025

1.3 yr newer
Mistral Small 3 24B Instruct

Oct 2023

Provider Availability

Gemini 3.1 Pro is available from Google. Mistral Small 3 24B Instruct is available from DeepInfra, Mistral AI.

Gemini 3.1 Pro

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

Mistral Small 3 24B Instruct

deepinfra logo
Deepinfra
Input Price:Input: $0.07/1MOutput Price:Output: $0.14/1M
mistral logo
Mistral
Input Price:Input: $0.10/1MOutput Price:Output: $0.30/1M
* 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
Higher GPQA score (94.3% vs 45.3%)
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 3 24B Instruct

FAQ

Common questions about Gemini 3.1 Pro vs Mistral Small 3 24B Instruct.

Which is better, Gemini 3.1 Pro or Mistral Small 3 24B Instruct?

Gemini 3.1 Pro significantly outperforms across most benchmarks. Gemini 3.1 Pro is made by Google and Mistral Small 3 24B Instruct is made by Mistral AI. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.

How does Gemini 3.1 Pro compare to Mistral Small 3 24B Instruct in benchmarks?

Gemini 3.1 Pro scores t2-bench: 99.3%, LiveCodeBench Pro: 96.2%, GPQA: 94.3%, MMMLU: 92.6%, BrowseComp: 85.9%. Mistral Small 3 24B Instruct scores Arena Hard: 87.6%, HumanEval: 84.8%, MT-Bench: 83.5%, IFEval: 82.9%, MATH: 70.6%.

Is Gemini 3.1 Pro cheaper than Mistral Small 3 24B Instruct?

Mistral Small 3 24B Instruct is 35.7x cheaper for input tokens. Gemini 3.1 Pro costs $2.50/M input and $15.00/M output via google. Mistral Small 3 24B Instruct costs $0.07/M input and $0.14/M output via deepinfra.

What are the context window sizes for Gemini 3.1 Pro and Mistral Small 3 24B Instruct?

Gemini 3.1 Pro supports 1.0M tokens and Mistral Small 3 24B Instruct supports 32K 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 3 24B Instruct?

Key differences include context window (1.0M vs 32K), input pricing ($2.50 vs $0.07/M), multimodal support (yes vs no), licensing (Proprietary vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.

Who makes Gemini 3.1 Pro and Mistral Small 3 24B Instruct?

Gemini 3.1 Pro is developed by Google and Mistral Small 3 24B Instruct is developed by Mistral AI.

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