Model Comparison

Gemma 3n E2B Instructed vs Pixtral-12B

Pixtral-12B significantly outperforms across most benchmarks.

Performance Benchmarks

Comparative analysis across standard metrics

2 benchmarks

Gemma 3n E2B Instructed outperforms in 0 benchmarks, while Pixtral-12B is better at 2 benchmarks (HumanEval, MMLU).

Pixtral-12B significantly outperforms across most benchmarks.

Tue Apr 21 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

Cost data unavailable.

Lowest available price from all providers
Tue Apr 21 2026 • llm-stats.com
Google
Gemma 3n E2B Instructed
Input tokens$0.00
Output tokens$0.00
Best providerUnknown Organization
Mistral AI
Pixtral-12B
Input tokens$0.15
Output tokens$0.15
Best providerMistral
Notice missing or incorrect data?Start an Issue

Model Size

Parameter count comparison

4.4B diff

Pixtral-12B has 4.4B more parameters than Gemma 3n E2B Instructed, making it 55.0% larger.

Google
Gemma 3n E2B Instructed
8.0Bparameters
Mistral AI
Pixtral-12B
12.4Bparameters
8.0B
Gemma 3n E2B Instructed
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 3n E2B Instructed
Input- tokens
Output- tokens
Mistral AI
Pixtral-12B
Input128,000 tokens
Output8,192 tokens
Tue Apr 21 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Both Gemma 3n E2B Instructed and Pixtral-12B support multimodal inputs.

They are both capable of processing various types of data, offering versatility in application.

Gemma 3n E2B Instructed

Text
Images
Audio
Video

Pixtral-12B

Text
Images
Audio
Video

License

Usage and distribution terms

Gemma 3n E2B Instructed is licensed under a proprietary license, while Pixtral-12B uses Apache 2.0.

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

Gemma 3n E2B Instructed

Proprietary

Closed source

Pixtral-12B

Apache 2.0

Open weights

Release Timeline

When each model was launched

Gemma 3n E2B Instructed was released on 2025-06-26, while Pixtral-12B was released on 2024-09-17.

Gemma 3n E2B Instructed is 9 months newer than Pixtral-12B.

Gemma 3n E2B Instructed

Jun 26, 2025

9 months ago

9mo newer
Pixtral-12B

Sep 17, 2024

1.6 years ago

Knowledge Cutoff

When training data ends

Gemma 3n E2B Instructed has a documented knowledge cutoff of 2024-06-01, while Pixtral-12B's cutoff date is not specified.

We can confirm Gemma 3n E2B Instructed's training data extends to 2024-06-01, but cannot make a direct comparison without Pixtral-12B's cutoff date.

Gemma 3n E2B Instructed

Jun 2024

Pixtral-12B

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion

Key Takeaways

Larger context window (128,000 tokens)
Has open weights
Higher HumanEval score (72.0% vs 66.5%)
Higher MMLU score (69.2% vs 60.1%)

Detailed Comparison

AI Model Comparison Table
Feature
Google
Gemma 3n E2B Instructed
Mistral AI
Pixtral-12B

FAQ

Common questions about Gemma 3n E2B Instructed vs Pixtral-12B

Pixtral-12B significantly outperforms across most benchmarks. Gemma 3n E2B Instructed is made by Google and Pixtral-12B is made by Mistral AI. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.
Gemma 3n E2B Instructed scores HumanEval: 66.5%, MMLU: 60.1%, Global-MMLU-Lite: 59.0%, MBPP: 56.6%, Global-MMLU: 55.1%. Pixtral-12B scores DocVQA: 90.7%, ChartQA: 81.8%, VQAv2: 78.6%, MT-Bench: 76.8%, HumanEval: 72.0%.
Gemma 3n E2B Instructed 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.
Key differences include licensing (Proprietary vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.
Gemma 3n E2B Instructed is developed by Google and Pixtral-12B is developed by Mistral AI.