Model Comparison

Gemini 1.5 Pro vs Mistral Small 3.1 24B BaseWhich is better in 2026?

Gemini 1.5 Pro significantly outperforms across most benchmarks. Mistral Small 3.1 24B Base is 29.2x cheaper per token.

Verdict: Gemini 1.5 Pro vs Mistral Small 3.1 24B Base — which is better?

Gemini 1.5 Pro (by Google) and Mistral Small 3.1 24B Base (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 1.5 Pro outperforms in 4 benchmarks (GPQA, MMLU, MMLU-Pro, MMMU), while Mistral Small 3.1 24B Base is better at 0 benchmarks. Gemini 1.5 Pro significantly outperforms across most benchmarks.

On price, Mistral Small 3.1 24B Base is roughly 29.2x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.

Gemini 1.5 Pro also accepts a larger context window (2,097,152 input tokens), making it the stronger choice for long documents and large codebases.

Choose Gemini 1.5 Pro if…

  • you want the strongest raw capability — it leads on 4 of 4 shared benchmarks
  • you process long inputs — it offers a 2,097,152 token context window

Choose Mistral Small 3.1 24B Base if…

  • cost matters — it's about 29.2x cheaper per token
  • you want the most recent training data — it shipped Mar 2025
  • you need open weights you can self-host or fine-tune
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Performance Benchmarks

Comparative analysis across standard metrics

4 benchmarks

Gemini 1.5 Pro outperforms in 4 benchmarks (GPQA, MMLU, MMLU-Pro, MMMU), while Mistral Small 3.1 24B Base is better at 0 benchmarks.

Gemini 1.5 Pro significantly outperforms across most benchmarks.

Sat Jun 13 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 1.5 Pro ($2.50/1M tokens) is 25.0x more expensive than Mistral Small 3.1 24B Base ($0.10/1M tokens).

For output processing, Gemini 1.5 Pro ($10.00/1M tokens) is 33.3x more expensive than Mistral Small 3.1 24B Base ($0.30/1M tokens).

In conclusion, Gemini 1.5 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
Sat Jun 13 2026 • llm-stats.com
Google
Gemini 1.5 Pro
Input tokens$2.50
Output tokens$10.00
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

Gemini 1.5 Pro accepts 2,097,152 input tokens compared to Mistral Small 3.1 24B Base's 128,000 tokens. Mistral Small 3.1 24B Base can generate longer responses up to 128,000 tokens, while Gemini 1.5 Pro is limited to 8,192 tokens.

Google
Gemini 1.5 Pro
Input2,097,152 tokens
Output8,192 tokens
Mistral AI
Mistral Small 3.1 24B Base
Input128,000 tokens
Output128,000 tokens
Sat Jun 13 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Both Gemini 1.5 Pro and Mistral Small 3.1 24B Base support multimodal inputs.

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

Gemini 1.5 Pro

Text
Images
Audio
Video

Mistral Small 3.1 24B Base

Text
Images
Audio
Video

License

Usage and distribution terms

Gemini 1.5 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 1.5 Pro

Proprietary

Closed source

Mistral Small 3.1 24B Base

Apache 2.0

Open weights

Release Timeline

When each model was launched

Gemini 1.5 Pro was released on 2024-05-01, while Mistral Small 3.1 24B Base was released on 2025-03-17.

Mistral Small 3.1 24B Base is 11 months newer than Gemini 1.5 Pro.

Gemini 1.5 Pro

May 1, 2024

2.1 years ago

Mistral Small 3.1 24B Base

Mar 17, 2025

1.2 years ago

10mo newer

Knowledge Cutoff

When training data ends

Gemini 1.5 Pro has a documented knowledge cutoff of 2023-11-01, while Mistral Small 3.1 24B Base's cutoff date is not specified.

We can confirm Gemini 1.5 Pro's training data extends to 2023-11-01, but cannot make a direct comparison without Mistral Small 3.1 24B Base's cutoff date.

Gemini 1.5 Pro

Nov 2023

Mistral Small 3.1 24B Base

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Provider Availability

Gemini 1.5 Pro is available from Google. Mistral Small 3.1 24B Base is available from Mistral AI.

Gemini 1.5 Pro

google logo
Google
Input Price:Input: $2.50/1MOutput Price:Output: $10.00/1M

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

Notice missing or incorrect data?Start an Issue discussion→

Key Takeaways

Google
Larger context window (2,097,152 tokens)
Higher GPQA score (59.1% vs 37.5%)
Higher MMLU score (85.9% vs 81.0%)
Higher MMLU-Pro score (75.8% vs 56.0%)
Higher MMMU score (65.9% vs 59.3%)
Mistral AI
Less expensive input tokens
Less expensive output tokens
Has open weights

Detailed Comparison

AI Model Comparison Table
Feature
Google
Gemini 1.5 Pro
Mistral AI
Mistral Small 3.1 24B Base

FAQ

Common questions about Gemini 1.5 Pro vs Mistral Small 3.1 24B Base.

Which is better, Gemini 1.5 Pro or Mistral Small 3.1 24B Base?

Gemini 1.5 Pro significantly outperforms across most benchmarks. Gemini 1.5 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 1.5 Pro compare to Mistral Small 3.1 24B Base in benchmarks?

Gemini 1.5 Pro scores XSTest: 98.8%, FLEURS: 93.3%, HellaSwag: 93.3%, GSM8k: 90.8%, BIG-Bench Hard: 89.2%. 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 1.5 Pro cheaper than Mistral Small 3.1 24B Base?

Mistral Small 3.1 24B Base is 25.0x cheaper for input tokens. Gemini 1.5 Pro costs $2.50/M input and $10.00/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 1.5 Pro and Mistral Small 3.1 24B Base?

Gemini 1.5 Pro supports 2.1M 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 1.5 Pro and Mistral Small 3.1 24B Base?

Key differences include context window (2.1M vs 128K), input pricing ($2.50 vs $0.10/M), licensing (Proprietary vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.

Who makes Gemini 1.5 Pro and Mistral Small 3.1 24B Base?

Gemini 1.5 Pro is developed by Google and Mistral Small 3.1 24B Base is developed by Mistral AI.

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