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Gemma 2 27B vs Pixtral Large

Pixtral Large leads the LLM Stats Score 11.3 to -1.2.

Google · Mistral AI · Updated for 2026

Which is better?

Pixtral Large leads the overall LLM Stats Score 11.3 to -1.2, ranking #282 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 11.3 and ranks #282 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
-1.2
#356
11.3
#282
-1.5
#352
12.7
#265
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
Mon Oct 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

2.3 years ago

Pixtral Large

Nov 18, 2024

1.9 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?

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 11.3 to -1.2. 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 (-1.2 vs 11.3), 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.