Model Comparison

Gemma 3n E4B Instructed vs Phi 4 Reasoning

Phi 4 Reasoning significantly outperforms across most benchmarks.

Want to compare interactively?Try the playground

Performance Benchmarks

Comparative analysis across standard metrics

4 benchmarks

Gemma 3n E4B Instructed outperforms in 0 benchmarks, while Phi 4 Reasoning is better at 4 benchmarks (AIME 2025, GPQA, LiveCodeBench, MMLU-Pro).

Phi 4 Reasoning significantly outperforms across most benchmarks.

Wed Apr 15 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
Wed Apr 15 2026 • llm-stats.com
Google
Gemma 3n E4B Instructed
Input tokens$20.00
Output tokens$40.00
Best providerTogether
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

6.0B diff

Phi 4 Reasoning has 6.0B more parameters than Gemma 3n E4B Instructed, making it 75.0% larger.

Google
Gemma 3n E4B Instructed
8.0Bparameters
Microsoft
Phi 4 Reasoning
14.0Bparameters
8.0B
Gemma 3n E4B Instructed
14.0B
Phi 4 Reasoning

Context Window

Maximum input and output token capacity

Only Gemma 3n E4B Instructed specifies input context (32,000 tokens). Only Gemma 3n E4B Instructed specifies output context (32,000 tokens).

Google
Gemma 3n E4B Instructed
Input32,000 tokens
Output32,000 tokens
Microsoft
Phi 4 Reasoning
Input- tokens
Output- tokens
Wed Apr 15 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Gemma 3n E4B Instructed supports multimodal inputs, whereas Phi 4 Reasoning does not.

Gemma 3n E4B Instructed can handle both text and other forms of data like images, making it suitable for multimodal applications.

Gemma 3n E4B Instructed

Text
Images
Audio
Video

Phi 4 Reasoning

Text
Images
Audio
Video

License

Usage and distribution terms

Gemma 3n E4B Instructed is licensed under a proprietary license, while Phi 4 Reasoning uses MIT.

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

Gemma 3n E4B Instructed

Proprietary

Closed source

Phi 4 Reasoning

MIT

Open weights

Release Timeline

When each model was launched

Gemma 3n E4B Instructed was released on 2025-06-26, while Phi 4 Reasoning was released on 2025-04-30.

Gemma 3n E4B Instructed is 2 months newer than Phi 4 Reasoning.

Gemma 3n E4B Instructed

Jun 26, 2025

9 months ago

1mo newer
Phi 4 Reasoning

Apr 30, 2025

11 months ago

Knowledge Cutoff

When training data ends

Gemma 3n E4B Instructed has a knowledge cutoff of 2024-06-01, while Phi 4 Reasoning has a cutoff of 2025-03-01.

Phi 4 Reasoning has more recent training data (up to 2025-03-01), making it potentially better informed about events through that date compared to Gemma 3n E4B Instructed (2024-06-01).

Gemma 3n E4B Instructed

Jun 2024

Phi 4 Reasoning

Mar 2025

9 mo newer

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Key Takeaways

Google
Larger context window (32,000 tokens)
Supports multimodal inputs
Microsoft
Has open weights
Higher AIME 2025 score (62.9% vs 11.6%)
Higher GPQA score (65.8% vs 23.7%)
Higher LiveCodeBench score (53.8% vs 13.2%)
Higher MMLU-Pro score (74.3% vs 50.6%)

Detailed Comparison

AI Model Comparison Table
Feature
Google
Gemma 3n E4B Instructed
Microsoft
Phi 4 Reasoning

FAQ

Common questions about Gemma 3n E4B Instructed vs Phi 4 Reasoning

Phi 4 Reasoning significantly outperforms across most benchmarks. Gemma 3n E4B Instructed 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 3n E4B Instructed scores HumanEval: 75.0%, MGSM: 67.0%, MMLU: 64.9%, Global-MMLU-Lite: 64.5%, MBPP: 63.6%. Phi 4 Reasoning scores FlenQA: 97.7%, HumanEval+: 92.9%, IFEval: 83.4%, OmniMath: 76.6%, AIME 2024: 75.3%.
Gemma 3n E4B Instructed supports 32K 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 (Proprietary vs MIT). See the full comparison above for benchmark-by-benchmark results.
Gemma 3n E4B Instructed is developed by Google and Phi 4 Reasoning is developed by Microsoft.