Model Comparison

Gemma 3n E2B Instructed vs Mistral Large 3 (675B Instruct 2512)Which is better in 2026?

Mistral Large 3 (675B Instruct 2512) significantly outperforms across most benchmarks.

Verdict: Gemma 3n E2B Instructed vs Mistral Large 3 (675B Instruct 2512) — which is better?

Gemma 3n E2B Instructed (by Google) and Mistral Large 3 (675B Instruct 2512) (by Mistral AI) are two of the AI models people compare most. Here is how they stack up on benchmarks, price and capabilities, and which one to pick in 2026.

Gemma 3n E2B Instructed outperforms in 0 benchmarks, while Mistral Large 3 (675B Instruct 2512) is better at 2 benchmarks (GPQA, LiveCodeBench). Mistral Large 3 (675B Instruct 2512) significantly outperforms across most benchmarks.

Choose Gemma 3n E2B Instructed if…

  • you are already invested in the Google ecosystem

Choose Mistral Large 3 (675B Instruct 2512) if…

  • you want the strongest raw capability — it leads on 2 of 2 shared benchmarks
  • you want the most recent training data — it shipped Dec 2025
  • you need open weights you can self-host or fine-tune

Performance Benchmarks

Comparative analysis across standard metrics

2 benchmarks

Gemma 3n E2B Instructed outperforms in 0 benchmarks, while Mistral Large 3 (675B Instruct 2512) is better at 2 benchmarks (GPQA, LiveCodeBench).

Mistral Large 3 (675B Instruct 2512) significantly outperforms across most benchmarks.

Sat Jun 27 2026 • llm-stats.com

Arena Performance

Human preference votes

Model Size

Parameter count comparison

667.0B diff

Mistral Large 3 (675B Instruct 2512) has 667.0B more parameters than Gemma 3n E2B Instructed, making it 8337.5% larger.

Google
Gemma 3n E2B Instructed
8.0Bparameters
Mistral AI
Mistral Large 3 (675B Instruct 2512)
675.0Bparameters
8.0B
Gemma 3n E2B Instructed
675.0B
Mistral Large 3 (675B Instruct 2512)

Context Window

Maximum input and output token capacity

Only Mistral Large 3 (675B Instruct 2512) specifies input context (262,100 tokens). Only Mistral Large 3 (675B Instruct 2512) specifies output context (262,100 tokens).

Google
Gemma 3n E2B Instructed
Input- tokens
Output- tokens
Mistral AI
Mistral Large 3 (675B Instruct 2512)
Input262,100 tokens
Output262,100 tokens
Sat Jun 27 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Both Gemma 3n E2B Instructed and Mistral Large 3 (675B Instruct 2512) 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

Mistral Large 3 (675B Instruct 2512)

Text
Images
Audio
Video

License

Usage and distribution terms

Gemma 3n E2B Instructed is licensed under a proprietary license, while Mistral Large 3 (675B Instruct 2512) 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

Mistral Large 3 (675B Instruct 2512)

Apache 2.0

Open weights

Release Timeline

When each model was launched

Gemma 3n E2B Instructed was released on 2025-06-26, while Mistral Large 3 (675B Instruct 2512) was released on 2025-12-04.

Mistral Large 3 (675B Instruct 2512) is 5 months newer than Gemma 3n E2B Instructed.

Gemma 3n E2B Instructed

Jun 26, 2025

1.0 years ago

Mistral Large 3 (675B Instruct 2512)

Dec 4, 2025

6 months ago

5mo newer

Knowledge Cutoff

When training data ends

Gemma 3n E2B Instructed has a documented knowledge cutoff of 2024-06-01, while Mistral Large 3 (675B Instruct 2512)'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 Mistral Large 3 (675B Instruct 2512)'s cutoff date.

Gemma 3n E2B Instructed

Jun 2024

Mistral Large 3 (675B Instruct 2512)

—

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Key Takeaways

Google

No standout differentiators in the data we have for this pair.

Mistral AI
Larger context window (262,100 tokens)
Has open weights
Higher GPQA score (43.9% vs 24.8%)
Higher LiveCodeBench score (34.4% vs 13.2%)

Detailed Comparison

Interactive Arena

Judge for yourself.

Run your own prompts against Gemma 3n E2B Instructed and Mistral Large 3 (675B Instruct 2512) side-by-side, then vote on the output you prefer.

Gemma 3n E2B Instructed
✓ Preferred
Mistral Large 3 (675B Instruct 2512)
Open in Playground
AI Model Comparison Table
Feature
Google
Gemma 3n E2B Instructed
Mistral AI
Mistral Large 3 (675B Instruct 2512)

FAQ

Common questions about Gemma 3n E2B Instructed vs Mistral Large 3 (675B Instruct 2512).

Which is better, Gemma 3n E2B Instructed or Mistral Large 3 (675B Instruct 2512)?

Mistral Large 3 (675B Instruct 2512) significantly outperforms across most benchmarks. Gemma 3n E2B Instructed is made by Google and Mistral Large 3 (675B Instruct 2512) is made by Mistral AI. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.

How does Gemma 3n E2B Instructed compare to Mistral Large 3 (675B Instruct 2512) in benchmarks?

Gemma 3n E2B Instructed scores HumanEval: 66.5%, MMLU: 60.1%, Global-MMLU-Lite: 59.0%, MBPP: 56.6%, Global-MMLU: 55.1%. Mistral Large 3 (675B Instruct 2512) scores MMMLU: 85.5%, AMC_2022_23: 52.0%, GPQA: 43.9%, LiveCodeBench: 34.4%, SimpleQA: 23.8%.

What are the context window sizes for Gemma 3n E2B Instructed and Mistral Large 3 (675B Instruct 2512)?

Gemma 3n E2B Instructed supports an unknown number of tokens and Mistral Large 3 (675B Instruct 2512) supports 262K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between Gemma 3n E2B Instructed and Mistral Large 3 (675B Instruct 2512)?

Key differences include licensing (Proprietary vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.

Who makes Gemma 3n E2B Instructed and Mistral Large 3 (675B Instruct 2512)?

Gemma 3n E2B Instructed is developed by Google and Mistral Large 3 (675B Instruct 2512) is developed by Mistral AI.

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