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Gemma 2 27B vs Ministral 3 (8B Base 2512)

Gemma 2 27B and Ministral 3 (8B Base 2512) are closely matched at -0.7 and -1.1 on the LLM Stats Score.

Google · Mistral AI · Updated for 2026

Which is better?

Gemma 2 27B and Ministral 3 (8B Base 2512) are closely matched on the overall LLM Stats Score at -0.7 and -1.1.

In the 3 individual benchmarks reported for both models, Ministral 3 (8B Base 2512) wins 2; 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 27B

  • you are already invested in the Google ecosystem

Choose Ministral 3 (8B Base 2512)

  • you value its reported benchmark strengths — it wins 2 of 3 exact shared results
  • you want the most recent training data — it shipped Dec 2025

At a glance

The differences that matter most.

Core performance indexes
-0.7
#338
-1.1
#341
-1.1
#334
-1.2
#335
Cost, coverage & limits
Benchmark wins
1 of 3
2 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 27B
Ministral 3 (8B Base 2512)
-0.7#299
4.2#287
1.9#175
4.2#165
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

16 reported for Gemma 2 27B · 6 for Ministral 3 (8B Base 2512)

3 shared

Gemma 2 27B outperforms in 1 benchmarks (TriviaQA), while Ministral 3 (8B Base 2512) is better at 2 benchmarks (AGIEval, MMLU).

Ministral 3 (8B Base 2512) shows notably better performance in the majority of benchmarks.

Thu Oct 01 2026 • llm-stats.com

Human preference

Blind head-to-head votes and playground preference scores

Model Size

Parameter count comparison

19.2B diff

Gemma 2 27B has 19.2B more parameters than Ministral 3 (8B Base 2512), making it 240.0% larger.

Google
Gemma 2 27B
27.2Bparameters
Mistral AI
Ministral 3 (8B Base 2512)
8.0Bparameters
27.2B
Gemma 2 27B
8.0B
Ministral 3 (8B Base 2512)

Input capabilities

Documented input modalities across available providers

Ministral 3 (8B Base 2512) supports multimodal inputs, whereas Gemma 2 27B does not.

Ministral 3 (8B Base 2512) can handle both text and other forms of data like images, making it suitable for multimodal applications.

Gemma 2 27B

Text
Images
Audio
Video

Ministral 3 (8B Base 2512)

Text
Images
Audio
Video

License

Usage and distribution terms

Gemma 2 27B is licensed under Gemma, while Ministral 3 (8B Base 2512) uses Apache 2.0.

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

Gemma 2 27B

Gemma

Open weights

Ministral 3 (8B Base 2512)

Apache 2.0

Open weights

Release Timeline

When each model was launched

Gemma 2 27B was released on 2024-06-27, while Ministral 3 (8B Base 2512) was released on 2025-12-04.

Ministral 3 (8B Base 2512) is 18 months newer than Gemma 2 27B.

Gemma 2 27B

Jun 27, 2024

2.3 years ago

Ministral 3 (8B 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 27B and Ministral 3 (8B Base 2512) side-by-side, then vote on the output you prefer.

Gemma 2 27B
✓ Preferred
Ministral 3 (8B Base 2512)
Open in Playground

FAQ

Common questions about Gemma 2 27B vs Ministral 3 (8B Base 2512).

Which is better, Gemma 2 27B or Ministral 3 (8B Base 2512)?

Gemma 2 27B and Ministral 3 (8B Base 2512) are closely matched on the LLM Stats Score at -0.7 and -1.1. Gemma 2 27B is made by Google and Ministral 3 (8B 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 27B compare to Ministral 3 (8B Base 2512) in benchmarks?

Gemma 2 27B scores ARC-E: 88.6%, HellaSwag: 86.4%, BoolQ: 84.8%, TriviaQA: 83.7%, Winogrande: 83.7%. Ministral 3 (8B Base 2512) scores MMLU-Redux: 79.3%, MMLU: 76.1%, Multilingual MMLU: 70.6%, TriviaQA: 68.1%, MATH (CoT): 62.6%.

What are the main differences between Gemma 2 27B and Ministral 3 (8B Base 2512)?

Key differences include LLM Stats Score (-0.7 vs -1.1), 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 27B and Ministral 3 (8B Base 2512)?

Gemma 2 27B is developed by Google and Ministral 3 (8B Base 2512) is developed by Mistral AI.