Model Comparison

Gemini 1.0 Pro vs Mistral Small 3.1 24B Base

Mistral Small 3.1 24B Base significantly outperforms across most benchmarks. Mistral Small 3.1 24B Base is 5.0x cheaper per token.

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Performance Benchmarks

Comparative analysis across standard metrics

3 benchmarks

Gemini 1.0 Pro outperforms in 0 benchmarks, while Mistral Small 3.1 24B Base is better at 3 benchmarks (GPQA, MMLU, MMMU).

Mistral Small 3.1 24B Base significantly outperforms across most benchmarks.

Mon May 11 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

Mistral Small 3.1 24B Base costs less

For input processing, Gemini 1.0 Pro ($0.50/1M tokens) is 5.0x more expensive than Mistral Small 3.1 24B Base ($0.10/1M tokens).

For output processing, Gemini 1.0 Pro ($1.50/1M tokens) is 5.0x more expensive than Mistral Small 3.1 24B Base ($0.30/1M tokens).

In conclusion, Gemini 1.0 Pro is more expensive than Mistral Small 3.1 24B Base.*

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

Lowest available price from all providers
Mon May 11 2026 • llm-stats.com
Google
Gemini 1.0 Pro
Input tokens$0.50
Output tokens$1.50
Best providerGoogle
Mistral AI
Mistral Small 3.1 24B Base
Input tokens$0.10
Output tokens$0.30
Best providerMistral
Notice missing or incorrect data?Start an Issue→

Context Window

Maximum input and output token capacity

Mistral Small 3.1 24B Base accepts 128,000 input tokens compared to Gemini 1.0 Pro's 32,760 tokens. Mistral Small 3.1 24B Base can generate longer responses up to 128,000 tokens, while Gemini 1.0 Pro is limited to 8,192 tokens.

Google
Gemini 1.0 Pro
Input32,760 tokens
Output8,192 tokens
Mistral AI
Mistral Small 3.1 24B Base
Input128,000 tokens
Output128,000 tokens
Mon May 11 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Mistral Small 3.1 24B Base supports multimodal inputs, whereas Gemini 1.0 Pro does not.

Mistral Small 3.1 24B Base can handle both text and other forms of data like images, making it suitable for multimodal applications.

Gemini 1.0 Pro

Text
Images
Audio
Video

Mistral Small 3.1 24B Base

Text
Images
Audio
Video

License

Usage and distribution terms

Gemini 1.0 Pro is licensed under a proprietary license, while Mistral Small 3.1 24B Base uses Apache 2.0.

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

Gemini 1.0 Pro

Proprietary

Closed source

Mistral Small 3.1 24B Base

Apache 2.0

Open weights

Release Timeline

When each model was launched

Gemini 1.0 Pro was released on 2024-02-15, while Mistral Small 3.1 24B Base was released on 2025-03-17.

Mistral Small 3.1 24B Base is 13 months newer than Gemini 1.0 Pro.

Gemini 1.0 Pro

Feb 15, 2024

2.2 years ago

Mistral Small 3.1 24B Base

Mar 17, 2025

1.2 years ago

1.1yr newer

Knowledge Cutoff

When training data ends

Gemini 1.0 Pro has a documented knowledge cutoff of 2024-02-01, while Mistral Small 3.1 24B Base's cutoff date is not specified.

We can confirm Gemini 1.0 Pro's training data extends to 2024-02-01, but cannot make a direct comparison without Mistral Small 3.1 24B Base's cutoff date.

Gemini 1.0 Pro

Feb 2024

Mistral Small 3.1 24B Base

—

Provider Availability

Gemini 1.0 Pro is available from Google. Mistral Small 3.1 24B Base is available from Mistral AI.

Gemini 1.0 Pro

google logo
Google
Input Price:Input: $0.50/1MOutput Price:Output: $1.50/1M

Mistral Small 3.1 24B Base

mistral logo
Mistral
Input Price:Input: $0.10/1MOutput Price:Output: $0.30/1M
* Prices shown are per million tokens

Outputs Comparison

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Key Takeaways

Google

No standout differentiators in the data we have for this pair.

Mistral AI
Larger context window (128,000 tokens)
Supports multimodal inputs
Less expensive input tokens
Less expensive output tokens
Has open weights
Higher GPQA score (37.5% vs 27.9%)
Higher MMLU score (81.0% vs 71.8%)
Higher MMMU score (59.3% vs 47.9%)

Detailed Comparison

AI Model Comparison Table
Feature
Google
Gemini 1.0 Pro
Mistral AI
Mistral Small 3.1 24B Base

FAQ

Common questions about Gemini 1.0 Pro vs Mistral Small 3.1 24B Base.

Which is better, Gemini 1.0 Pro or Mistral Small 3.1 24B Base?

Mistral Small 3.1 24B Base significantly outperforms across most benchmarks. Gemini 1.0 Pro is made by Google and Mistral Small 3.1 24B Base is made by Mistral AI. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.

How does Gemini 1.0 Pro compare to Mistral Small 3.1 24B Base in benchmarks?

Gemini 1.0 Pro scores BIG-Bench: 75.0%, MMLU: 71.8%, WMT23: 71.7%, EgoSchema: 55.7%, MMMU: 47.9%. Mistral Small 3.1 24B Base scores MMLU: 81.0%, TriviaQA: 80.5%, MMMU: 59.3%, MMLU-Pro: 56.0%, GPQA: 37.5%.

Is Gemini 1.0 Pro cheaper than Mistral Small 3.1 24B Base?

Mistral Small 3.1 24B Base is 5.0x cheaper for input tokens. Gemini 1.0 Pro costs $0.50/M input and $1.50/M output via google. Mistral Small 3.1 24B Base costs $0.10/M input and $0.30/M output via mistral.

What are the context window sizes for Gemini 1.0 Pro and Mistral Small 3.1 24B Base?

Gemini 1.0 Pro supports 33K tokens and Mistral Small 3.1 24B Base supports 128K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between Gemini 1.0 Pro and Mistral Small 3.1 24B Base?

Key differences include context window (33K vs 128K), input pricing ($0.50 vs $0.10/M), multimodal support (no vs yes), licensing (Proprietary vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.

Who makes Gemini 1.0 Pro and Mistral Small 3.1 24B Base?

Gemini 1.0 Pro is developed by Google and Mistral Small 3.1 24B Base is developed by Mistral AI.