Model Comparison

Gemma 3 4B vs MiniStral 3 (14B Instruct 2512)Which is better in 2026?

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

Verdict: Gemma 3 4B vs MiniStral 3 (14B Instruct 2512) — which is better?

Gemma 3 4B (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 4B 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 4B if…

  • you want predictable pricing at $0.02/M input and $0.04/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 4B 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.

Fri Jun 12 2026 • llm-stats.com

Arena Performance

Human preference votes

Model Size

Parameter count comparison

10.0B diff

MiniStral 3 (14B Instruct 2512) has 10.0B more parameters than Gemma 3 4B, making it 250.0% larger.

Google
Gemma 3 4B
4.0Bparameters
Mistral AI
MiniStral 3 (14B Instruct 2512)
14.0Bparameters
4.0B
Gemma 3 4B
14.0B
MiniStral 3 (14B Instruct 2512)

Context Window

Maximum input and output token capacity

Only Gemma 3 4B specifies input context (131,072 tokens). Only Gemma 3 4B specifies output context (131,072 tokens).

Google
Gemma 3 4B
Input131,072 tokens
Output131,072 tokens
Mistral AI
MiniStral 3 (14B Instruct 2512)
Input- tokens
Output- tokens
Fri Jun 12 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Both Gemma 3 4B 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 4B

Text
Images
Audio
Video

MiniStral 3 (14B Instruct 2512)

Text
Images
Audio
Video

License

Usage and distribution terms

Gemma 3 4B 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 4B

Gemma

Open weights

MiniStral 3 (14B Instruct 2512)

Apache 2.0

Open weights

Release Timeline

When each model was launched

Gemma 3 4B 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 4B.

Gemma 3 4B

Mar 12, 2025

1.3 years ago

MiniStral 3 (14B Instruct 2512)

Dec 4, 2025

6 months ago

8mo newer

Knowledge Cutoff

When training data ends

Gemma 3 4B has a documented knowledge cutoff of 2024-08-01, while MiniStral 3 (14B Instruct 2512)'s cutoff date is not specified.

We can confirm Gemma 3 4B's training data extends to 2024-08-01, but cannot make a direct comparison without MiniStral 3 (14B Instruct 2512)'s cutoff date.

Gemma 3 4B

Aug 2024

MiniStral 3 (14B Instruct 2512)

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Outputs Comparison

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Key Takeaways

Google
Larger context window (131,072 tokens)
Mistral AI
Higher MATH score (90.4% vs 75.6%)

Detailed Comparison

AI Model Comparison Table
Feature
Google
Gemma 3 4B
Mistral AI
MiniStral 3 (14B Instruct 2512)

FAQ

Common questions about Gemma 3 4B vs MiniStral 3 (14B Instruct 2512).

Which is better, Gemma 3 4B or MiniStral 3 (14B Instruct 2512)?

MiniStral 3 (14B Instruct 2512) significantly outperforms across most benchmarks. Gemma 3 4B 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 4B compare to MiniStral 3 (14B Instruct 2512) in benchmarks?

Gemma 3 4B scores IFEval: 90.2%, GSM8k: 89.2%, DocVQA: 75.8%, MATH: 75.6%, AI2D: 74.8%. 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 4B and MiniStral 3 (14B Instruct 2512)?

Gemma 3 4B 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 4B 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 4B and MiniStral 3 (14B Instruct 2512)?

Gemma 3 4B is developed by Google and MiniStral 3 (14B Instruct 2512) is developed by Mistral AI.

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