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Gemma 2 27B vs Pixtral Large

Pixtral Large leads the LLM Stats Score 11.8 to -0.7.

Google · Mistral AI · Updated for 2026

Which is better?

Pixtral Large leads the overall LLM Stats Score 11.8 to -0.7, ranking #262 overall.

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

Choose Gemma 2 27B

  • you are already invested in the Google ecosystem

Choose Pixtral Large

  • overall performance matters — it scores 11.8 and ranks #262 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
-0.7
#336
11.8
#262
-1.1
#332
13.1
#246
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 27B · 7 for Pixtral Large

No common benchmarks found

Gemma 2 27B 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

96.8B diff

Pixtral Large has 96.8B more parameters than Gemma 2 27B, making it 355.9% larger.

Google
Gemma 2 27B
27.2Bparameters
Mistral AI
Pixtral Large
124.0Bparameters
27.2B
Gemma 2 27B
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 27B
Input- tokens
Output- tokens
Mistral AI
Pixtral Large
Input128,000 tokens
Output128,000 tokens
Sat Sep 26 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Pixtral Large supports multimodal inputs, whereas Gemma 2 27B does not.

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

Gemma 2 27B

Text
Images
Audio
Video

Pixtral Large

Text
Images
Audio
Video

License

Usage and distribution terms

Gemma 2 27B 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 27B

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

Pixtral Large is 5 months newer than Gemma 2 27B.

Gemma 2 27B

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 27B and Pixtral Large side-by-side, then vote on the output you prefer.

Gemma 2 27B
✓ Preferred
Pixtral Large
Open in Playground

FAQ

Common questions about Gemma 2 27B vs Pixtral Large.

Which is better, Gemma 2 27B or Pixtral Large?

Pixtral Large leads the LLM Stats Score 11.8 to -0.7. Gemma 2 27B 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 27B compare to Pixtral Large in benchmarks?

Gemma 2 27B scores ARC-E: 88.6%, HellaSwag: 86.4%, BoolQ: 84.8%, TriviaQA: 83.7%, Winogrande: 83.7%. 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 27B and Pixtral Large?

Gemma 2 27B 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 27B and Pixtral Large?

Key differences include LLM Stats Score (-0.7 vs 11.8), 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 27B and Pixtral Large?

Gemma 2 27B is developed by Google and Pixtral Large is developed by Mistral AI.