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Gemma 2 9B vs Ministral 3 (3B Base 2512)

Gemma 2 9B and Ministral 3 (3B Base 2512) are closely matched at -5.2 and -6.7 on the LLM Stats Score.

Google · Mistral AI · Updated for 2026

Which is better?

Gemma 2 9B and Ministral 3 (3B Base 2512) are closely matched on the overall LLM Stats Score at -5.2 and -6.7.

In the 3 individual benchmarks reported for both models, Gemma 2 9B 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 value its reported benchmark strengths — it wins 3 of 3 exact shared results

Choose Ministral 3 (3B Base 2512)

  • you want the most recent training data — it shipped Dec 2025

At a glance

The differences that matter most.

Gemma 2 9B
Google
Ministral 3 (3B Base 2512)
Mistral AI
Core performance indexes
LLM Stats Score
-5.2
#378
-6.7
#387
Reasoning
-5.5
#371
-6.7
#376
Cost, coverage & limits
Benchmark wins
3 of 3
0 of 3
Input price
— / M
— / M
Output price
— / M
— / M
Context window
—
—

Capability indexes

Additional strengths measured across groups of related public benchmarks

2 shared
Index
Gemma 2 9B
Ministral 3 (3B Base 2512)
Math
-3.8#326
-0.8#310
Legal
-0.1#191
-1.6#196
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

16 reported for Gemma 2 9B · 6 for Ministral 3 (3B Base 2512)

3 shared

Gemma 2 9B outperforms in 3 benchmarks (AGIEval, MMLU, TriviaQA), while Ministral 3 (3B Base 2512) is better at 0 benchmarks.

Gemma 2 9B significantly outperforms across most benchmarks.

Tue Oct 20 2026 • llm-stats.com

Human preference

Blind head-to-head votes and playground preference scores

Model Size

Parameter count comparison

6.2B diff

Gemma 2 9B has 6.2B more parameters than Ministral 3 (3B Base 2512), making it 208.0% larger.

Google
Gemma 2 9B
9.2Bparameters
Mistral AI
Ministral 3 (3B Base 2512)
3.0Bparameters
9.2B
Gemma 2 9B
3.0B
Ministral 3 (3B Base 2512)

Input capabilities

Documented input modalities across available providers

Ministral 3 (3B Base 2512) supports multimodal inputs, whereas Gemma 2 9B does not.

Ministral 3 (3B Base 2512) can handle both text and other forms of data like images, making it suitable for multimodal applications.

Gemma 2 9B

Text
Images
Audio
Video

Ministral 3 (3B Base 2512)

Text
Images
Audio
Video

License

Usage and distribution terms

Gemma 2 9B is licensed under Gemma, while Ministral 3 (3B Base 2512) 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

Ministral 3 (3B Base 2512)

Apache 2.0

Open weights

Release Timeline

When each model was launched

Gemma 2 9B was released on 2024-06-27, while Ministral 3 (3B Base 2512) was released on 2025-12-04.

Ministral 3 (3B Base 2512) is 18 months newer than Gemma 2 9B.

Gemma 2 9B

Jun 27, 2024

2.3 years ago

Ministral 3 (3B Base 2512)

Dec 4, 2025

10 months ago

1.4yr 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 Ministral 3 (3B Base 2512) side-by-side, then vote on the output you prefer.

Gemma 2 9B
✓ Preferred
Ministral 3 (3B Base 2512)
Open in Playground

FAQ

Common questions about Gemma 2 9B vs Ministral 3 (3B Base 2512).

Which is better, Gemma 2 9B or Ministral 3 (3B Base 2512)?

Gemma 2 9B and Ministral 3 (3B Base 2512) are closely matched on the LLM Stats Score at -5.2 and -6.7. Gemma 2 9B is made by Google and Ministral 3 (3B Base 2512) 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 Ministral 3 (3B Base 2512) in benchmarks?

Gemma 2 9B scores ARC-E: 88.0%, BoolQ: 84.2%, HellaSwag: 81.9%, PIQA: 81.7%, Winogrande: 80.6%. Ministral 3 (3B Base 2512) scores MMLU-Redux: 73.5%, MMLU: 70.7%, Multilingual MMLU: 65.2%, MATH (CoT): 60.1%, TriviaQA: 59.2%.

What are the main differences between Gemma 2 9B and Ministral 3 (3B Base 2512)?

Key differences include LLM Stats Score (-5.2 vs -6.7), 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 Ministral 3 (3B Base 2512)?

Gemma 2 9B is developed by Google and Ministral 3 (3B Base 2512) is developed by Mistral AI.

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