Gemma 2 9B vs Mistral Large 2 Comparison

Comparing Gemma 2 9B and Mistral Large 2 across benchmarks, pricing, and capabilities.

Performance Benchmarks

Comparative analysis across standard metrics

3 benchmarks

Gemma 2 9B outperforms in 0 benchmarks, while Mistral Large 2 is better at 3 benchmarks (GSM8k, HumanEval, MMLU).

Mistral Large 2 significantly outperforms across most benchmarks.

Sun Mar 22 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
Sun Mar 22 2026 • llm-stats.com
Google
Gemma 2 9B
Input tokens$0.00
Output tokens$0.00
Best providerUnknown Organization
Mistral AI
Mistral Large 2
Input tokens$2.00
Output tokens$6.00
Best providerGoogle
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Model Size

Parameter count comparison

113.8B diff

Mistral Large 2 has 113.8B more parameters than Gemma 2 9B, making it 1231.2% larger.

Google
Gemma 2 9B
9.2Bparameters
Mistral AI
Mistral Large 2
123.0Bparameters
9.2B
Gemma 2 9B
123.0B
Mistral Large 2

Context Window

Maximum input and output token capacity

Only Mistral Large 2 specifies input context (128,000 tokens). Only Mistral Large 2 specifies output context (128,000 tokens).

Google
Gemma 2 9B
Input- tokens
Output- tokens
Mistral AI
Mistral Large 2
Input128,000 tokens
Output128,000 tokens
Sun Mar 22 2026 • llm-stats.com

License

Usage and distribution terms

Gemma 2 9B is licensed under Gemma, while Mistral Large 2 uses Mistral Research License.

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

Gemma 2 9B

Gemma

Open weights

Mistral Large 2

Mistral Research License

Open weights

Release Timeline

When each model was launched

Gemma 2 9B was released on 2024-06-27, while Mistral Large 2 was released on 2024-07-24.

Mistral Large 2 is 1 month newer than Gemma 2 9B.

Gemma 2 9B

Jun 27, 2024

1.7 years ago

Mistral Large 2

Jul 24, 2024

1.7 years ago

3w 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

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Key Takeaways

Larger context window (128,000 tokens)
Higher GSM8k score (93.0% vs 68.6%)
Higher HumanEval score (92.0% vs 40.2%)
Higher MMLU score (84.0% vs 71.3%)

Detailed Comparison

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