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

Gemma 3 27B significantly outperforms across most benchmarks.

Google · Mistral AI · Updated for 2026

Which is better?

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.

Based on current benchmark, pricing, and model metadata for 2026.

Choose Gemma 3 27B

  • you want the strongest raw capability — it leads on 1 of 1 shared benchmarks

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
Benchmark wins
1 of 1
0 of 1
Input price
$0.10 / M
— / M
Output price
$0.20 / M
— / M
Context window
131,072
—
Released
Mar 2025
Dec 2025
License
Gemma
Apache 2.0

Performance Benchmarks

Comparative analysis across standard metrics

1 benchmarks

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 Aug 25 2026 • llm-stats.com

Arena Performance

Playground indexes and blind 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 Aug 25 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

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

1.5 years ago

Ministral 3 (8B Instruct 2512)

Dec 4, 2025

8 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?Start an Issue discussion→

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 significantly outperforms across most benchmarks. 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 benchmark scores, pricing, and capabilities 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 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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