Model Comparison

Gemma 3 27B vs Phi 4 Mini Reasoning

Phi 4 Mini Reasoning significantly outperforms across most benchmarks.

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Performance Benchmarks

Comparative analysis across standard metrics

1 benchmarks

Gemma 3 27B outperforms in 0 benchmarks, while Phi 4 Mini Reasoning is better at 1 benchmark (GPQA).

Phi 4 Mini Reasoning significantly outperforms across most benchmarks.

Tue May 26 2026 • llm-stats.com

Arena Performance

Human preference votes

Model Size

Parameter count comparison

23.2B diff

Gemma 3 27B has 23.2B more parameters than Phi 4 Mini Reasoning, making it 610.5% larger.

Google
Gemma 3 27B
27.0Bparameters
Microsoft
Phi 4 Mini Reasoning
3.8Bparameters
27.0B
Gemma 3 27B
3.8B
Phi 4 Mini Reasoning

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
Microsoft
Phi 4 Mini Reasoning
Input- tokens
Output- tokens
Tue May 26 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Gemma 3 27B supports multimodal inputs, whereas Phi 4 Mini Reasoning does not.

Gemma 3 27B can handle both text and other forms of data like images, making it suitable for multimodal applications.

Gemma 3 27B

Text
Images
Audio
Video

Phi 4 Mini Reasoning

Text
Images
Audio
Video

License

Usage and distribution terms

Gemma 3 27B is licensed under Gemma, while Phi 4 Mini Reasoning uses MIT.

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

Gemma 3 27B

Gemma

Open weights

Phi 4 Mini Reasoning

MIT

Open weights

Release Timeline

When each model was launched

Gemma 3 27B was released on 2025-03-12, while Phi 4 Mini Reasoning was released on 2025-04-30.

Phi 4 Mini Reasoning is 2 months newer than Gemma 3 27B.

Gemma 3 27B

Mar 12, 2025

1.2 years ago

Phi 4 Mini Reasoning

Apr 30, 2025

1.1 years ago

1mo newer

Knowledge Cutoff

When training data ends

Phi 4 Mini Reasoning has a documented knowledge cutoff of 2025-02-01, while Gemma 3 27B's cutoff date is not specified.

We can confirm Phi 4 Mini Reasoning's training data extends to 2025-02-01, but cannot make a direct comparison without Gemma 3 27B's cutoff date.

Gemma 3 27B

—

Phi 4 Mini Reasoning

Feb 2025

Outputs Comparison

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Key Takeaways

Google
Larger context window (131,072 tokens)
Supports multimodal inputs
Microsoft
Higher GPQA score (52.0% vs 42.4%)

Detailed Comparison

AI Model Comparison Table
Feature
Google
Gemma 3 27B
Microsoft
Phi 4 Mini Reasoning

FAQ

Common questions about Gemma 3 27B vs Phi 4 Mini Reasoning.

Which is better, Gemma 3 27B or Phi 4 Mini Reasoning?

Phi 4 Mini Reasoning significantly outperforms across most benchmarks. Gemma 3 27B is made by Google and Phi 4 Mini Reasoning is made by Microsoft. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.

How does Gemma 3 27B compare to Phi 4 Mini Reasoning in benchmarks?

Gemma 3 27B scores GSM8k: 95.9%, IFEval: 90.4%, MATH: 89.0%, HumanEval: 87.8%, BIG-Bench Hard: 87.6%. Phi 4 Mini Reasoning scores MATH-500: 94.6%, AIME: 57.5%, GPQA: 52.0%.

What are the context window sizes for Gemma 3 27B and Phi 4 Mini Reasoning?

Gemma 3 27B supports 131K tokens and Phi 4 Mini Reasoning 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 Phi 4 Mini Reasoning?

Key differences include multimodal support (yes vs no), licensing (Gemma vs MIT). See the full comparison above for benchmark-by-benchmark results.

Who makes Gemma 3 27B and Phi 4 Mini Reasoning?

Gemma 3 27B is developed by Google and Phi 4 Mini Reasoning is developed by Microsoft.