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Gemma 2 9B vs Mistral Large 2

Mistral Large 2 leads the LLM Stats Score 7.4 to -4.9.

Google · Mistral AI · Updated for 2026

Which is better?

Mistral Large 2 leads the overall LLM Stats Score 7.4 to -4.9, ranking #296 overall.

In the 3 individual benchmarks reported for both models, Mistral Large 2 wins 3; 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 9B

  • you are already invested in the Google ecosystem

Choose Mistral Large 2

  • overall performance matters — it scores 7.4 and ranks #296 on LLM Stats
  • your work emphasizes reasoning and coding — it leads those capability indexes
  • you value its reported benchmark strengths — it wins 3 of 3 exact shared results
  • you want the most recent training data — it shipped Jul 2024

At a glance

The differences that matter most.

Core performance indexes
-4.9
#362
7.4
#296
-5.2
#355
7.3
#289
-11.0
#273
13.0
#146
Cost, coverage & limits
Benchmark wins
0 of 3
3 of 3
Input price
— / M
$2.00 / M
Output price
— / M
$6.00 / M
Context window
—
128,000

Capability indexes

Additional strengths measured across groups of related public benchmarks

1 shared
Index
Gemma 2 9B
Mistral Large 2
-3.8#316
11.3#246
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

16 reported for Gemma 2 9B · 5 for Mistral Large 2

3 shared

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.

Fri Oct 02 2026 • llm-stats.com

Human preference

Blind head-to-head votes and playground preference scores

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
Fri Oct 02 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

2.3 years ago

Mistral Large 2

Jul 24, 2024

2.2 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

Notice missing or incorrect data?

Judge for yourself.

Run your own prompts against Gemma 2 9B and Mistral Large 2 side-by-side, then vote on the output you prefer.

Gemma 2 9B
✓ Preferred
Mistral Large 2
Open in Playground

FAQ

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

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

Mistral Large 2 leads the LLM Stats Score 7.4 to -4.9. Gemma 2 9B is made by Google and Mistral Large 2 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 9B compare to Mistral Large 2 in benchmarks?

Gemma 2 9B scores ARC-E: 88.0%, BoolQ: 84.2%, HellaSwag: 81.9%, PIQA: 81.7%, Winogrande: 80.6%. Mistral Large 2 scores GSM8k: 93.0%, HumanEval: 92.0%, MT-Bench: 86.3%, MMLU: 84.0%, MMLU French: 82.8%.

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

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

Key differences include LLM Stats Score (-4.9 vs 7.4), licensing (Gemma vs Mistral Research License). See the full comparison above for benchmark-by-benchmark results.

Who makes Gemma 2 9B and Mistral Large 2?

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