Model Comparison

Gemini 2.5 Flash-Lite vs Phi 4 Mini

Gemini 2.5 Flash-Lite significantly outperforms across most benchmarks.

Want to compare interactively?Try the playground

Performance Benchmarks

Comparative analysis across standard metrics

1 benchmarks

Gemini 2.5 Flash-Lite outperforms in 1 benchmarks (GPQA), while Phi 4 Mini is better at 0 benchmarks.

Gemini 2.5 Flash-Lite significantly outperforms across most benchmarks.

Sat Apr 11 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
Sat Apr 11 2026 • llm-stats.com
Google
Gemini 2.5 Flash-Lite
Input tokens$0.10
Output tokens$0.40
Best providerGoogle
Microsoft
Phi 4 Mini
Input tokens$0.00
Output tokens$0.00
Best providerUnknown Organization
Notice missing or incorrect data?Start an Issue→

Context Window

Maximum input and output token capacity

Only Gemini 2.5 Flash-Lite specifies input context (1,048,576 tokens). Only Gemini 2.5 Flash-Lite specifies output context (65,536 tokens).

Google
Gemini 2.5 Flash-Lite
Input1,048,576 tokens
Output65,536 tokens
Microsoft
Phi 4 Mini
Input- tokens
Output- tokens
Sat Apr 11 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Gemini 2.5 Flash-Lite supports multimodal inputs, whereas Phi 4 Mini does not.

Gemini 2.5 Flash-Lite can handle both text and other forms of data like images, making it suitable for multimodal applications.

Gemini 2.5 Flash-Lite

Text
Images
Audio
Video

Phi 4 Mini

Text
Images
Audio
Video

License

Usage and distribution terms

Gemini 2.5 Flash-Lite is licensed under Creative Commons Attribution 4.0 License, while Phi 4 Mini uses MIT.

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

Gemini 2.5 Flash-Lite

Creative Commons Attribution 4.0 License

Open weights

Phi 4 Mini

MIT

Open weights

Release Timeline

When each model was launched

Gemini 2.5 Flash-Lite was released on 2025-06-17, while Phi 4 Mini was released on 2025-02-01.

Gemini 2.5 Flash-Lite is 5 months newer than Phi 4 Mini.

Gemini 2.5 Flash-Lite

Jun 17, 2025

9 months ago

4mo newer
Phi 4 Mini

Feb 1, 2025

1.2 years ago

Knowledge Cutoff

When training data ends

Gemini 2.5 Flash-Lite has a knowledge cutoff of 2025-01-01, while Phi 4 Mini has a cutoff of 2024-06-01.

Gemini 2.5 Flash-Lite has more recent training data (up to 2025-01-01), making it potentially better informed about events through that date compared to Phi 4 Mini (2024-06-01).

Gemini 2.5 Flash-Lite

Jan 2025

7 mo newer
Phi 4 Mini

Jun 2024

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Key Takeaways

Google
Larger context window (1,048,576 tokens)
Supports multimodal inputs
Higher GPQA score (64.6% vs 25.2%)
Microsoft

Detailed Comparison

AI Model Comparison Table
Feature
Google
Gemini 2.5 Flash-Lite
Microsoft
Phi 4 Mini

FAQ

Common questions about Gemini 2.5 Flash-Lite vs Phi 4 Mini

Gemini 2.5 Flash-Lite significantly outperforms across most benchmarks. Gemini 2.5 Flash-Lite is made by Google and Phi 4 Mini is made by Microsoft. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.
Gemini 2.5 Flash-Lite scores FACTS Grounding: 84.1%, Global-MMLU-Lite: 81.1%, MMMU: 72.9%, GPQA: 64.6%, Vibe-Eval: 51.3%. Phi 4 Mini scores GSM8k: 88.6%, ARC-C: 83.7%, BoolQ: 81.2%, OpenBookQA: 79.2%, PIQA: 77.6%.
Gemini 2.5 Flash-Lite supports 1.0M tokens and Phi 4 Mini 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 (Creative Commons Attribution 4.0 License vs MIT). See the full comparison above for benchmark-by-benchmark results.
Gemini 2.5 Flash-Lite is developed by Google and Phi 4 Mini is developed by Microsoft.