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Gemma 3 27B vs Ministral 3 (8B Instruct 2512)

Gemma 3 27B and Ministral 3 (8B Instruct 2512) are closely matched at 8.0 and 7.4 on the LLM Stats Score.

Google · Mistral AI · Updated for 2026

Which is better?

Gemma 3 27B and Ministral 3 (8B Instruct 2512) are closely matched on the overall LLM Stats Score at 8.0 and 7.4.

In the 1 individual benchmarks reported for both models, Gemma 3 27B wins 1; 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 3 27B

  • you value its reported benchmark strengths — it wins 1 of 1 exact shared results

Choose Ministral 3 (8B Instruct 2512)

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

At a glance

The differences that matter most.

Gemma 3 27B
Google
Ministral 3 (8B Instruct 2512)
Mistral AI
Core performance indexes
LLM Stats Score
8.0
#304
7.4
#308
Reasoning
8.3
#295
9.0
#286
Cost, coverage & limits
Benchmark wins
1 of 1
0 of 1
Input price
$0.08 / M
— / M
Output price
$0.16 / M
— / M
Context window
131,072
—

Individual benchmarks

27 reported for Gemma 3 27B · 4 for Ministral 3 (8B Instruct 2512)

1 shared

Gemma 3 27B outperforms in 1 benchmarks (MATH), while Ministral 3 (8B Instruct 2512) is better at 0 benchmarks.

Gemma 3 27B 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

19.0B diff

Gemma 3 27B has 19.0B more parameters than Ministral 3 (8B Instruct 2512), making it 237.5% larger.

Google
Gemma 3 27B
27.0Bparameters
Mistral AI
Ministral 3 (8B Instruct 2512)
8.0Bparameters
27.0B
Gemma 3 27B
8.0B
Ministral 3 (8B Instruct 2512)

Context Window

Maximum input and output token capacity

Only Gemma 3 27B specifies input context (131,072 tokens). Only Gemma 3 27B specifies output context (131,072 tokens).

Google
Gemma 3 27B
Input131,072 tokens
Output131,072 tokens
Mistral AI
Ministral 3 (8B Instruct 2512)
Input- tokens
Output- tokens
Tue Oct 20 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Both Gemma 3 27B and Ministral 3 (8B Instruct 2512) support multimodal inputs.

They are both capable of processing various types of data, offering versatility in application.

Gemma 3 27B

Text
Images
Audio
Video

Ministral 3 (8B Instruct 2512)

Text
Images
Audio
Video

License

Usage and distribution terms

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

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

Gemma 3 27B

Gemma

Open weights

Ministral 3 (8B Instruct 2512)

Apache 2.0

Open weights

Release Timeline

When each model was launched

Gemma 3 27B was released on 2025-03-12, while Ministral 3 (8B Instruct 2512) was released on 2025-12-04.

Ministral 3 (8B Instruct 2512) is 9 months newer than Gemma 3 27B.

Gemma 3 27B

Mar 12, 2025

1.6 years ago

Ministral 3 (8B Instruct 2512)

Dec 4, 2025

10 months ago

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

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

FAQ

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

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

Gemma 3 27B and Ministral 3 (8B Instruct 2512) are closely matched on the LLM Stats Score at 8.0 and 7.4. Gemma 3 27B is made by Google and Ministral 3 (8B Instruct 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 3 27B compare to Ministral 3 (8B Instruct 2512) in benchmarks?

Gemma 3 27B scores GSM8k: 95.9%, IFEval: 90.4%, MATH: 89.0%, HumanEval: 87.8%, BIG-Bench Hard: 87.6%. Ministral 3 (8B Instruct 2512) scores MATH: 87.6%, Wild Bench: 66.8%, Arena Hard: 50.9%, MM-MT-Bench: 8.1%.

What are the context window sizes for Gemma 3 27B and Ministral 3 (8B Instruct 2512)?

Gemma 3 27B supports 131K tokens and Ministral 3 (8B Instruct 2512) supports an unknown number of tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

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

Key differences include LLM Stats Score (8.0 vs 7.4), licensing (Gemma vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.

Who makes Gemma 3 27B and Ministral 3 (8B Instruct 2512)?

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

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