Model Comparison

Gemma 2 9B vs Mistral Small 3.1 24B BaseWhich is better in 2026?

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

Verdict: Gemma 2 9B vs Mistral Small 3.1 24B Base — which is better?

Gemma 2 9B (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.

Gemma 2 9B outperforms in 0 benchmarks, while Mistral Small 3.1 24B Base is better at 2 benchmarks (MMLU, TriviaQA). Mistral Small 3.1 24B Base significantly outperforms across most benchmarks.

Choose Gemma 2 9B if…

  • you are already invested in the Google ecosystem

Choose Mistral Small 3.1 24B Base if…

  • you want the strongest raw capability — it leads on 2 of 2 shared benchmarks
  • you want the most recent training data — it shipped Mar 2025
Want to compare interactively?Try the playground

Performance Benchmarks

Comparative analysis across standard metrics

2 benchmarks

Gemma 2 9B outperforms in 0 benchmarks, while Mistral Small 3.1 24B Base is better at 2 benchmarks (MMLU, TriviaQA).

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

Thu Jun 25 2026 • llm-stats.com

Arena Performance

Human preference votes

Model Size

Parameter count comparison

14.8B diff

Mistral Small 3.1 24B Base has 14.8B more parameters than Gemma 2 9B, making it 159.7% larger.

Google
Gemma 2 9B
9.2Bparameters
Mistral AI
Mistral Small 3.1 24B Base
24.0Bparameters
9.2B
Gemma 2 9B
24.0B
Mistral Small 3.1 24B Base

Context Window

Maximum input and output token capacity

Only Mistral Small 3.1 24B Base specifies input context (128,000 tokens). Only Mistral Small 3.1 24B Base specifies output context (128,000 tokens).

Google
Gemma 2 9B
Input- tokens
Output- tokens
Mistral AI
Mistral Small 3.1 24B Base
Input128,000 tokens
Output128,000 tokens
Thu Jun 25 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Mistral Small 3.1 24B Base supports multimodal inputs, whereas Gemma 2 9B 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.

Gemma 2 9B

Text
Images
Audio
Video

Mistral Small 3.1 24B Base

Text
Images
Audio
Video

License

Usage and distribution terms

Gemma 2 9B is licensed under Gemma, 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.

Gemma 2 9B

Gemma

Open weights

Mistral Small 3.1 24B Base

Apache 2.0

Open weights

Release Timeline

When each model was launched

Gemma 2 9B was released on 2024-06-27, while Mistral Small 3.1 24B Base was released on 2025-03-17.

Mistral Small 3.1 24B Base is 9 months newer than Gemma 2 9B.

Gemma 2 9B

Jun 27, 2024

2.0 years ago

Mistral Small 3.1 24B Base

Mar 17, 2025

1.3 years ago

8mo newer

Knowledge Cutoff

When training data ends

Neither model specifies a knowledge cutoff date.

Unable to compare the recency of their training data.

No cutoff dates available

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

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
Higher MMLU score (81.0% vs 71.3%)
Higher TriviaQA score (80.5% vs 76.6%)

Detailed Comparison

AI Model Comparison Table
Feature
Google
Gemma 2 9B
Mistral AI
Mistral Small 3.1 24B Base

FAQ

Common questions about Gemma 2 9B vs Mistral Small 3.1 24B Base.

Which is better, Gemma 2 9B or Mistral Small 3.1 24B Base?

Mistral Small 3.1 24B Base significantly outperforms across most benchmarks. Gemma 2 9B 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 Gemma 2 9B compare to Mistral Small 3.1 24B Base in benchmarks?

Gemma 2 9B scores ARC-E: 88.0%, BoolQ: 84.2%, HellaSwag: 81.9%, PIQA: 81.7%, Winogrande: 80.6%. Mistral Small 3.1 24B Base scores MMLU: 81.0%, TriviaQA: 80.5%, MMMU: 59.3%, MMLU-Pro: 56.0%, GPQA: 37.5%.

What are the context window sizes for Gemma 2 9B and Mistral Small 3.1 24B Base?

Gemma 2 9B supports an unknown number of 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 Gemma 2 9B and Mistral Small 3.1 24B Base?

Key differences include multimodal support (no vs yes), licensing (Gemma vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.

Who makes Gemma 2 9B and Mistral Small 3.1 24B Base?

Gemma 2 9B is developed by Google and Mistral Small 3.1 24B Base is developed by Mistral AI.

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