The AI arena is free today

Open Superagent

Gemma 2 9B vs Pixtral-12B

Gemma 2 9B and Pixtral-12B are closely matched at -4.8 and -1.4 on the LLM Stats Score.

Google · Mistral AI · Updated for 2026

Which is better?

Gemma 2 9B and Pixtral-12B are closely matched on the overall LLM Stats Score at -4.8 and -1.4.

In the 3 individual benchmarks reported for both models, Pixtral-12B wins 2; this is a narrower head-to-head signal than the composite indexes.

Based on current LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.

Choose Gemma 2 9B

  • you are already invested in the Google ecosystem

Choose Pixtral-12B

  • you value its reported benchmark strengths — it wins 2 of 3 exact shared results
  • you want the most recent training data — it shipped Sep 2024

At a glance

The differences that matter most.

Core performance indexes
-4.8
#336
-1.4
#319
-5.1
#329
-3.4
#320
-11.0
#251
-2.5
#236
Cost, coverage & limits
Benchmark wins
1 of 3
2 of 3
Input price
— / M
$0.15 / M
Output price
— / M
$0.15 / M
Context window
128,000

Capability indexes

Additional strengths measured across groups of related public benchmarks

1 shared
Index
Gemma 2 9B
Pixtral-12B
-3.3#303
1.3#284
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

16 reported for Gemma 2 9B · 12 for Pixtral-12B

3 shared

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.

Mon Aug 31 2026 • llm-stats.com

Human preference

Blind head-to-head votes and playground preference scores

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
Mon Aug 31 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

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

2.2 years ago

Pixtral-12B

Sep 17, 2024

2.0 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

Notice missing or incorrect data?Start an Issue discussion

Judge for yourself.

Run your own prompts against Gemma 2 9B and Pixtral-12B side-by-side, then vote on the output you prefer.

Gemma 2 9B
✓ Preferred
Pixtral-12B
Open in Playground

FAQ

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

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

Gemma 2 9B and Pixtral-12B are closely matched on the LLM Stats Score at -4.8 and -1.4. 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 capability indexes, individual benchmarks, pricing, and limits 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 LLM Stats Score (-4.8 vs -1.4), 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.