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Gemma 2 27B vs Pixtral-12B

Gemma 2 27B and Pixtral-12B are closely matched at -0.7 and -1.6 on the LLM Stats Score.

Google · Mistral AI · Updated for 2026

Which is better?

Gemma 2 27B and Pixtral-12B are closely matched on the overall LLM Stats Score at -0.7 and -1.6.

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 27B

  • 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
-0.7
#330
-1.6
#336
-1.1
#326
-3.8
#338
-7.9
#263
-2.6
#250
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 27B
Pixtral-12B
-0.7#297
1.0#295
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

16 reported for Gemma 2 27B · 12 for Pixtral-12B

3 shared

Gemma 2 27B 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 Sep 20 2026 • llm-stats.com

Human preference

Blind head-to-head votes and playground preference scores

Model Size

Parameter count comparison

14.8B diff

Gemma 2 27B has 14.8B more parameters than Pixtral-12B, making it 119.4% larger.

Google
Gemma 2 27B
27.2Bparameters
Mistral AI
Pixtral-12B
12.4Bparameters
27.2B
Gemma 2 27B
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 27B
Input- tokens
Output- tokens
Mistral AI
Pixtral-12B
Input128,000 tokens
Output8,192 tokens
Sun Sep 20 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Pixtral-12B supports multimodal inputs, whereas Gemma 2 27B does not.

Pixtral-12B 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-12B

Text
Images
Audio
Video

License

Usage and distribution terms

Gemma 2 27B 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 27B

Gemma

Open weights

Pixtral-12B

Apache 2.0

Open weights

Release Timeline

When each model was launched

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

Pixtral-12B is 3 months newer than Gemma 2 27B.

Gemma 2 27B

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 27B and Pixtral-12B side-by-side, then vote on the output you prefer.

Gemma 2 27B
✓ Preferred
Pixtral-12B
Open in Playground

FAQ

Common questions about Gemma 2 27B vs Pixtral-12B.

Which is better, Gemma 2 27B or Pixtral-12B?

Gemma 2 27B and Pixtral-12B are closely matched on the LLM Stats Score at -0.7 and -1.6. Gemma 2 27B 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 27B compare to Pixtral-12B in benchmarks?

Gemma 2 27B scores ARC-E: 88.6%, HellaSwag: 86.4%, BoolQ: 84.8%, TriviaQA: 83.7%, Winogrande: 83.7%. 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 27B and Pixtral-12B?

Gemma 2 27B 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 27B and Pixtral-12B?

Key differences include LLM Stats Score (-0.7 vs -1.6), 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 27B and Pixtral-12B?

Gemma 2 27B is developed by Google and Pixtral-12B is developed by Mistral AI.