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Gemma 2 9B vs Pixtral Large

Pixtral Large leads the LLM Stats Score 11.9 to -4.8.

Google · Mistral AI · Updated for 2026

Which is better?

Pixtral Large leads the overall LLM Stats Score 11.9 to -4.8, ranking #254 overall.

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 Large

  • overall performance matters — it scores 11.9 and ranks #254 on LLM Stats
  • your work emphasizes reasoning — it leads those capability indexes
  • you want the most recent training data — it shipped Nov 2024

At a glance

The differences that matter most.

Core performance indexes
-4.8
#352
11.9
#254
-5.1
#345
13.2
#238
Cost, coverage & limits
Benchmark wins
Input price
— / M
$2.00 / M
Output price
— / M
$6.00 / M
Context window
128,000

Individual benchmarks

16 reported for Gemma 2 9B · 7 for Pixtral Large

No common benchmarks found

Gemma 2 9B and Pixtral Largedon't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.

Human preference

Blind head-to-head votes and playground preference scores

Model Size

Parameter count comparison

114.8B diff

Pixtral Large has 114.8B more parameters than Gemma 2 9B, making it 1242.0% larger.

Google
Gemma 2 9B
9.2Bparameters
Mistral AI
Pixtral Large
124.0Bparameters
9.2B
Gemma 2 9B
124.0B
Pixtral Large

Context Window

Maximum input and output token capacity

Only Pixtral Large specifies input context (128,000 tokens). Only Pixtral Large specifies output context (128,000 tokens).

Google
Gemma 2 9B
Input- tokens
Output- tokens
Mistral AI
Pixtral Large
Input128,000 tokens
Output128,000 tokens
Wed Sep 09 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

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

Pixtral Large 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 Large

Text
Images
Audio
Video

License

Usage and distribution terms

Gemma 2 9B is licensed under Gemma, while Pixtral Large uses Mistral Research License (MRL) for research; Mistral Commercial License for commercial use.

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

Gemma 2 9B

Gemma

Open weights

Pixtral Large

Mistral Research License (MRL) for research; Mistral Commercial License for commercial use

Open weights

Release Timeline

When each model was launched

Gemma 2 9B was released on 2024-06-27, while Pixtral Large was released on 2024-11-18.

Pixtral Large is 5 months newer than Gemma 2 9B.

Gemma 2 9B

Jun 27, 2024

2.2 years ago

Pixtral Large

Nov 18, 2024

1.8 years ago

4mo 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 Large side-by-side, then vote on the output you prefer.

Gemma 2 9B
✓ Preferred
Pixtral Large
Open in Playground

FAQ

Common questions about Gemma 2 9B vs Pixtral Large.

Which is better, Gemma 2 9B or Pixtral Large?

Pixtral Large leads the LLM Stats Score 11.9 to -4.8. Gemma 2 9B is made by Google and Pixtral Large 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 Large in benchmarks?

Gemma 2 9B scores ARC-E: 88.0%, BoolQ: 84.2%, HellaSwag: 81.9%, PIQA: 81.7%, Winogrande: 80.6%. Pixtral Large scores AI2D: 93.8%, DocVQA: 93.3%, ChartQA: 88.1%, VQAv2: 80.9%, MM-MT-Bench: 74.0%.

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

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

Key differences include LLM Stats Score (-4.8 vs 11.9), multimodal support (no vs yes), licensing (Gemma vs Mistral Research License (MRL) for research; Mistral Commercial License for commercial use). See the full comparison above for benchmark-by-benchmark results.

Who makes Gemma 2 9B and Pixtral Large?

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