Model Comparison

Gemma 3 12B vs Phi 4 Reasoning

Phi 4 Reasoning shows notably better performance in the majority of benchmarks.

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Performance Benchmarks

Comparative analysis across standard metrics

4 benchmarks

Gemma 3 12B outperforms in 1 benchmarks (IFEval), while Phi 4 Reasoning is better at 3 benchmarks (GPQA, LiveCodeBench, MMLU-Pro).

Phi 4 Reasoning shows notably better performance in the majority of benchmarks.

Mon Apr 13 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

Cost data unavailable.

Lowest available price from all providers
Mon Apr 13 2026 • llm-stats.com
Google
Gemma 3 12B
Input tokens$0.05
Output tokens$0.10
Best providerDeepinfra
Microsoft
Phi 4 Reasoning
Input tokens$0.00
Output tokens$0.00
Best providerUnknown Organization
Notice missing or incorrect data?Start an Issue→

Model Size

Parameter count comparison

2.0B diff

Phi 4 Reasoning has 2.0B more parameters than Gemma 3 12B, making it 16.7% larger.

Google
Gemma 3 12B
12.0Bparameters
Microsoft
Phi 4 Reasoning
14.0Bparameters
12.0B
Gemma 3 12B
14.0B
Phi 4 Reasoning

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
Microsoft
Phi 4 Reasoning
Input- tokens
Output- tokens
Mon Apr 13 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Gemma 3 12B supports multimodal inputs, whereas Phi 4 Reasoning does not.

Gemma 3 12B can handle both text and other forms of data like images, making it suitable for multimodal applications.

Gemma 3 12B

Text
Images
Audio
Video

Phi 4 Reasoning

Text
Images
Audio
Video

License

Usage and distribution terms

Gemma 3 12B is licensed under Gemma, while Phi 4 Reasoning uses MIT.

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

Gemma 3 12B

Gemma

Open weights

Phi 4 Reasoning

MIT

Open weights

Release Timeline

When each model was launched

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

Phi 4 Reasoning is 2 months newer than Gemma 3 12B.

Gemma 3 12B

Mar 12, 2025

1.1 years ago

Phi 4 Reasoning

Apr 30, 2025

11 months ago

1mo newer

Knowledge Cutoff

When training data ends

Phi 4 Reasoning has a documented knowledge cutoff of 2025-03-01, while Gemma 3 12B's cutoff date is not specified.

We can confirm Phi 4 Reasoning's training data extends to 2025-03-01, but cannot make a direct comparison without Gemma 3 12B's cutoff date.

Gemma 3 12B

—

Phi 4 Reasoning

Mar 2025

Outputs Comparison

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Key Takeaways

Google
Larger context window (131,072 tokens)
Supports multimodal inputs
Higher IFEval score (88.9% vs 83.4%)
Microsoft
Higher GPQA score (65.8% vs 40.9%)
Higher LiveCodeBench score (53.8% vs 24.6%)
Higher MMLU-Pro score (74.3% vs 60.6%)

Detailed Comparison

AI Model Comparison Table
Feature
Google
Gemma 3 12B
Microsoft
Phi 4 Reasoning

FAQ

Common questions about Gemma 3 12B vs Phi 4 Reasoning

Phi 4 Reasoning shows notably better performance in the majority of benchmarks. Gemma 3 12B is made by Google and Phi 4 Reasoning is made by Microsoft. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.
Gemma 3 12B scores GSM8k: 94.4%, IFEval: 88.9%, DocVQA: 87.1%, BIG-Bench Hard: 85.7%, HumanEval: 85.4%. Phi 4 Reasoning scores FlenQA: 97.7%, HumanEval+: 92.9%, IFEval: 83.4%, OmniMath: 76.6%, AIME 2024: 75.3%.
Gemma 3 12B supports 131K tokens and Phi 4 Reasoning supports an unknown number of tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.
Key differences include multimodal support (yes vs no), licensing (Gemma vs MIT). See the full comparison above for benchmark-by-benchmark results.
Gemma 3 12B is developed by Google and Phi 4 Reasoning is developed by Microsoft.