Model Comparison

Gemma 3 4B vs Min istral 3 (3B Reasoning 2512)

Min istral 3 (3B Reasoning 2512) significantly outperforms across most benchmarks. Gemma 3 4B is 4.0x cheaper per token.

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Performance Benchmarks

Comparative analysis across standard metrics

2 benchmarks

Gemma 3 4B outperforms in 0 benchmarks, while Min istral 3 (3B Reasoning 2512) is better at 2 benchmarks (GPQA, LiveCodeBench).

Min istral 3 (3B Reasoning 2512) significantly outperforms across most benchmarks.

Tue Jun 02 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

Gemma 3 4B costs less

For input processing, Gemma 3 4B ($0.02/1M tokens) is 5.0x cheaper than Min istral 3 (3B Reasoning 2512) ($0.10/1M tokens).

For output processing, Gemma 3 4B ($0.04/1M tokens) is 2.5x cheaper than Min istral 3 (3B Reasoning 2512) ($0.10/1M tokens).

In conclusion, Min istral 3 (3B Reasoning 2512) is more expensive than Gemma 3 4B.*

* Using a 3:1 ratio of input to output tokens

Lowest available price from all providers
Tue Jun 02 2026 • llm-stats.com
Google
Gemma 3 4B
Input tokens$0.02
Output tokens$0.04
Best providerDeepinfra
Mistral AI
Min istral 3 (3B Reasoning 2512)
Input tokens$0.10
Output tokens$0.10
Best providerMistral
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Model Size

Parameter count comparison

1.0B diff

Gemma 3 4B has 1.0B more parameters than Min istral 3 (3B Reasoning 2512), making it 33.3% larger.

Google
Gemma 3 4B
4.0Bparameters
Mistral AI
Min istral 3 (3B Reasoning 2512)
3.0Bparameters
4.0B
Gemma 3 4B
3.0B
Min istral 3 (3B Reasoning 2512)

Context Window

Maximum input and output token capacity

Min istral 3 (3B Reasoning 2512) accepts 131,100 input tokens compared to Gemma 3 4B's 131,072 tokens. Min istral 3 (3B Reasoning 2512) can generate longer responses up to 131,100 tokens, while Gemma 3 4B is limited to 131,072 tokens.

Google
Gemma 3 4B
Input131,072 tokens
Output131,072 tokens
Mistral AI
Min istral 3 (3B Reasoning 2512)
Input131,100 tokens
Output131,100 tokens
Tue Jun 02 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Both Gemma 3 4B and Min istral 3 (3B Reasoning 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

Min istral 3 (3B Reasoning 2512)

Text
Images
Audio
Video

License

Usage and distribution terms

Gemma 3 4B is licensed under Gemma, while Min istral 3 (3B Reasoning 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

Min istral 3 (3B Reasoning 2512)

Apache 2.0

Open weights

Release Timeline

When each model was launched

Gemma 3 4B was released on 2025-03-12, while Min istral 3 (3B Reasoning 2512) was released on 2025-12-04.

Min istral 3 (3B Reasoning 2512) is 9 months newer than Gemma 3 4B.

Gemma 3 4B

Mar 12, 2025

1.2 years ago

Min istral 3 (3B Reasoning 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 Min istral 3 (3B Reasoning 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 Min istral 3 (3B Reasoning 2512)'s cutoff date.

Gemma 3 4B

Aug 2024

Min istral 3 (3B Reasoning 2512)

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Provider Availability

Gemma 3 4B is available from DeepInfra. Min istral 3 (3B Reasoning 2512) is available from Mistral AI.

Gemma 3 4B

deepinfra logo
Deepinfra
Input Price:Input: $0.02/1MOutput Price:Output: $0.04/1M

Min istral 3 (3B Reasoning 2512)

mistral logo
Mistral
Input Price:Input: $0.10/1MOutput Price:Output: $0.10/1M
* Prices shown are per million tokens

Outputs Comparison

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Key Takeaways

Google
Less expensive input tokens
Less expensive output tokens
Mistral AI
Larger context window (131,100 tokens)
Higher GPQA score (53.4% vs 30.8%)
Higher LiveCodeBench score (54.8% vs 12.6%)

Detailed Comparison

AI Model Comparison Table
Feature
Google
Gemma 3 4B
Mistral AI
Min istral 3 (3B Reasoning 2512)

FAQ

Common questions about Gemma 3 4B vs Min istral 3 (3B Reasoning 2512).

Which is better, Gemma 3 4B or Min istral 3 (3B Reasoning 2512)?

Min istral 3 (3B Reasoning 2512) significantly outperforms across most benchmarks. Gemma 3 4B is made by Google and Min istral 3 (3B Reasoning 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 Min istral 3 (3B Reasoning 2512) in benchmarks?

Gemma 3 4B scores IFEval: 90.2%, GSM8k: 89.2%, DocVQA: 75.8%, MATH: 75.6%, AI2D: 74.8%. Min istral 3 (3B Reasoning 2512) scores AIME 2024: 77.5%, AIME 2025: 72.1%, LiveCodeBench: 54.8%, GPQA: 53.4%.

Is Gemma 3 4B cheaper than Min istral 3 (3B Reasoning 2512)?

Gemma 3 4B is 5.0x cheaper for input tokens. Gemma 3 4B costs $0.02/M input and $0.04/M output via deepinfra. Min istral 3 (3B Reasoning 2512) costs $0.10/M input and $0.10/M output via mistral.

What are the context window sizes for Gemma 3 4B and Min istral 3 (3B Reasoning 2512)?

Gemma 3 4B supports 131K tokens and Min istral 3 (3B Reasoning 2512) supports 131K 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 Min istral 3 (3B Reasoning 2512)?

Key differences include context window (131K vs 131K), input pricing ($0.02 vs $0.10/M), licensing (Gemma vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.

Who makes Gemma 3 4B and Min istral 3 (3B Reasoning 2512)?

Gemma 3 4B is developed by Google and Min istral 3 (3B Reasoning 2512) is developed by Mistral AI.