Model Comparison

Gemma 2 9B vs Mistral Large 3

Both models are evenly matched across the benchmarks.

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Performance Benchmarks

Comparative analysis across standard metrics

2 benchmarks

Gemma 2 9B outperforms in 1 benchmarks (TriviaQA), while Mistral Large 3 is better at 1 benchmark (MATH).

Both models are evenly matched across the benchmarks.

Wed Jun 03 2026 • llm-stats.com

Arena Performance

Human preference votes

Model Size

Parameter count comparison

665.8B diff

Mistral Large 3 has 665.8B more parameters than Gemma 2 9B, making it 7205.2% larger.

Google
Gemma 2 9B
9.2Bparameters
Mistral AI
Mistral Large 3
675.0Bparameters
9.2B
Gemma 2 9B
675.0B
Mistral Large 3

Context Window

Maximum input and output token capacity

Only Mistral Large 3 specifies input context (128,000 tokens). Only Mistral Large 3 specifies output context (8,192 tokens).

Google
Gemma 2 9B
Input- tokens
Output- tokens
Mistral AI
Mistral Large 3
Input128,000 tokens
Output8,192 tokens
Wed Jun 03 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Mistral Large 3 supports multimodal inputs, whereas Gemma 2 9B does not.

Mistral Large 3 can handle both text and other forms of data like images, making it suitable for multimodal applications.

Gemma 2 9B

Text
Images
Audio
Video

Mistral Large 3

Text
Images
Audio
Video

License

Usage and distribution terms

Gemma 2 9B is licensed under Gemma, while Mistral Large 3 uses Apache 2.0.

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

Gemma 2 9B

Gemma

Open weights

Mistral Large 3

Apache 2.0

Open weights

Release Timeline

When each model was launched

Gemma 2 9B was released on 2024-06-27, while Mistral Large 3 was released on 2025-09-01.

Mistral Large 3 is 14 months newer than Gemma 2 9B.

Gemma 2 9B

Jun 27, 2024

1.9 years ago

Mistral Large 3

Sep 1, 2025

9 months ago

1.2yr 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→

Key Takeaways

Google
Higher TriviaQA score (76.6% vs 74.9%)
Mistral AI
Larger context window (128,000 tokens)
Supports multimodal inputs
Higher MATH score (90.4% vs 36.6%)

Detailed Comparison

AI Model Comparison Table
Feature
Google
Gemma 2 9B
Mistral AI
Mistral Large 3

FAQ

Common questions about Gemma 2 9B vs Mistral Large 3.

Which is better, Gemma 2 9B or Mistral Large 3?

Both models are evenly matched across the benchmarks. Gemma 2 9B is made by Google and Mistral Large 3 is made by Mistral AI. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.

How does Gemma 2 9B compare to Mistral Large 3 in benchmarks?

Gemma 2 9B scores ARC-E: 88.0%, BoolQ: 84.2%, HellaSwag: 81.9%, PIQA: 81.7%, Winogrande: 80.6%. Mistral Large 3 scores MATH: 90.4%, MM-MT-Bench: 84.9%, MMLU-Redux: 82.0%, TriviaQA: 74.9%, MMMLU: 74.2%.

What are the context window sizes for Gemma 2 9B and Mistral Large 3?

Gemma 2 9B supports an unknown number of tokens and Mistral Large 3 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 9B and Mistral Large 3?

Key differences include 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 9B and Mistral Large 3?

Gemma 2 9B is developed by Google and Mistral Large 3 is developed by Mistral AI.