Model Comparison

Gemma 2 9B vs Pixtral-12B

Pixtral-12B shows notably better performance in the majority of benchmarks.

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Performance Benchmarks

Comparative analysis across standard metrics

3 benchmarks

Gemma 2 9B outperforms in 1 benchmarks (MMLU), while Pixtral-12B is better at 2 benchmarks (HumanEval, MATH).

Pixtral-12B shows notably better performance in the majority of benchmarks.

Sun May 03 2026 • llm-stats.com

Arena Performance

Human preference votes

Model Size

Parameter count comparison

3.2B diff

Pixtral-12B has 3.2B more parameters than Gemma 2 9B, making it 34.2% larger.

Google
Gemma 2 9B
9.2Bparameters
Mistral AI
Pixtral-12B
12.4Bparameters
9.2B
Gemma 2 9B
12.4B
Pixtral-12B

Context Window

Maximum input and output token capacity

Only Pixtral-12B specifies input context (128,000 tokens). Only Pixtral-12B specifies output context (8,192 tokens).

Google
Gemma 2 9B
Input- tokens
Output- tokens
Mistral AI
Pixtral-12B
Input128,000 tokens
Output8,192 tokens
Sun May 03 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Pixtral-12B supports multimodal inputs, whereas Gemma 2 9B does not.

Pixtral-12B can handle both text and other forms of data like images, making it suitable for multimodal applications.

Gemma 2 9B

Text
Images
Audio
Video

Pixtral-12B

Text
Images
Audio
Video

License

Usage and distribution terms

Gemma 2 9B is licensed under Gemma, while Pixtral-12B 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

Pixtral-12B

Apache 2.0

Open weights

Release Timeline

When each model was launched

Gemma 2 9B was released on 2024-06-27, while Pixtral-12B was released on 2024-09-17.

Pixtral-12B is 3 months newer than Gemma 2 9B.

Gemma 2 9B

Jun 27, 2024

1.8 years ago

Pixtral-12B

Sep 17, 2024

1.6 years ago

2mo 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

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Key Takeaways

Google
Higher MMLU score (71.3% vs 69.2%)
Mistral AI
Larger context window (128,000 tokens)
Supports multimodal inputs
Higher HumanEval score (72.0% vs 40.2%)
Higher MATH score (48.1% vs 36.6%)

Detailed Comparison

AI Model Comparison Table
Feature
Google
Gemma 2 9B
Mistral AI
Pixtral-12B

FAQ

Common questions about Gemma 2 9B vs Pixtral-12B.

Which is better, Gemma 2 9B or Pixtral-12B?

Pixtral-12B shows notably better performance in the majority of benchmarks. Gemma 2 9B is made by Google and Pixtral-12B 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 Pixtral-12B in benchmarks?

Gemma 2 9B scores ARC-E: 88.0%, BoolQ: 84.2%, HellaSwag: 81.9%, PIQA: 81.7%, Winogrande: 80.6%. Pixtral-12B scores DocVQA: 90.7%, ChartQA: 81.8%, VQAv2: 78.6%, MT-Bench: 76.8%, HumanEval: 72.0%.

What are the context window sizes for Gemma 2 9B and Pixtral-12B?

Gemma 2 9B supports an unknown number of tokens and Pixtral-12B 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 Pixtral-12B?

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 Pixtral-12B?

Gemma 2 9B is developed by Google and Pixtral-12B is developed by Mistral AI.