Model Comparison

Gemma 3 12B vs MiniStral 3 (14B Instruct 2512)Which is better in 2026?

MiniStral 3 (14B Instruct 2512) significantly outperforms across most benchmarks.

Verdict: Gemma 3 12B vs MiniStral 3 (14B Instruct 2512) — which is better?

Gemma 3 12B (by Google) and MiniStral 3 (14B Instruct 2512) (by Mistral AI) are two of the AI models people compare most. Here is how they stack up on benchmarks, price and capabilities, and which one to pick in 2026.

Gemma 3 12B outperforms in 0 benchmarks, while MiniStral 3 (14B Instruct 2512) is better at 1 benchmark (MATH). MiniStral 3 (14B Instruct 2512) significantly outperforms across most benchmarks.

Choose Gemma 3 12B if…

  • you want predictable pricing at $0.05/M input and $0.10/M output

Choose MiniStral 3 (14B Instruct 2512) if…

  • you want the strongest raw capability — it leads on 1 of 1 shared benchmarks
  • you want the most recent training data — it shipped Dec 2025
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Performance Benchmarks

Comparative analysis across standard metrics

1 benchmarks

Gemma 3 12B outperforms in 0 benchmarks, while MiniStral 3 (14B Instruct 2512) is better at 1 benchmark (MATH).

MiniStral 3 (14B Instruct 2512) significantly outperforms across most benchmarks.

Sun Jun 07 2026 • llm-stats.com

Arena Performance

Human preference votes

Model Size

Parameter count comparison

2.0B diff

MiniStral 3 (14B Instruct 2512) has 2.0B more parameters than Gemma 3 12B, making it 16.7% larger.

Google
Gemma 3 12B
12.0Bparameters
Mistral AI
MiniStral 3 (14B Instruct 2512)
14.0Bparameters
12.0B
Gemma 3 12B
14.0B
MiniStral 3 (14B Instruct 2512)

Context Window

Maximum input and output token capacity

Only Gemma 3 12B specifies input context (131,072 tokens). Only Gemma 3 12B specifies output context (131,072 tokens).

Google
Gemma 3 12B
Input131,072 tokens
Output131,072 tokens
Mistral AI
MiniStral 3 (14B Instruct 2512)
Input- tokens
Output- tokens
Sun Jun 07 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Both Gemma 3 12B and MiniStral 3 (14B Instruct 2512) support multimodal inputs.

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

Gemma 3 12B

Text
Images
Audio
Video

MiniStral 3 (14B Instruct 2512)

Text
Images
Audio
Video

License

Usage and distribution terms

Gemma 3 12B is licensed under Gemma, while MiniStral 3 (14B Instruct 2512) uses Apache 2.0.

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

Gemma 3 12B

Gemma

Open weights

MiniStral 3 (14B Instruct 2512)

Apache 2.0

Open weights

Release Timeline

When each model was launched

Gemma 3 12B was released on 2025-03-12, while MiniStral 3 (14B Instruct 2512) was released on 2025-12-04.

MiniStral 3 (14B Instruct 2512) is 9 months newer than Gemma 3 12B.

Gemma 3 12B

Mar 12, 2025

1.2 years ago

MiniStral 3 (14B Instruct 2512)

Dec 4, 2025

6 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→

Key Takeaways

Google
Larger context window (131,072 tokens)
Mistral AI
Higher MATH score (90.4% vs 83.8%)

Detailed Comparison

AI Model Comparison Table
Feature
Google
Gemma 3 12B
Mistral AI
MiniStral 3 (14B Instruct 2512)

FAQ

Common questions about Gemma 3 12B vs MiniStral 3 (14B Instruct 2512).

Which is better, Gemma 3 12B or MiniStral 3 (14B Instruct 2512)?

MiniStral 3 (14B Instruct 2512) significantly outperforms across most benchmarks. Gemma 3 12B is made by Google and MiniStral 3 (14B 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 12B compare to MiniStral 3 (14B Instruct 2512) in benchmarks?

Gemma 3 12B scores GSM8k: 94.4%, IFEval: 88.9%, DocVQA: 87.1%, BIG-Bench Hard: 85.7%, HumanEval: 85.4%. MiniStral 3 (14B Instruct 2512) scores MATH: 90.4%, Wild Bench: 68.5%, Arena Hard: 55.1%, MM-MT-Bench: 8.5%.

What are the context window sizes for Gemma 3 12B and MiniStral 3 (14B Instruct 2512)?

Gemma 3 12B supports 131K tokens and MiniStral 3 (14B 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 12B and MiniStral 3 (14B 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 12B and MiniStral 3 (14B Instruct 2512)?

Gemma 3 12B is developed by Google and MiniStral 3 (14B Instruct 2512) is developed by Mistral AI.

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