Model Comparison
Gemini 2.5 Flash-Lite vs Phi 4Which is better in 2026?
Gemini 2.5 Flash-Lite significantly outperforms across most benchmarks. Phi 4 is 2.0x cheaper per token.
Verdict: Gemini 2.5 Flash-Lite vs Phi 4 — which is better?
Gemini 2.5 Flash-Lite (by Google) and Phi 4 (by Microsoft) are two of the AI models people compare most. Here is how they stack up on benchmarks, price and capabilities, and which one to pick in 2026.
Gemini 2.5 Flash-Lite outperforms in 2 benchmarks (GPQA, SimpleQA), while Phi 4 is better at 0 benchmarks. Gemini 2.5 Flash-Lite significantly outperforms across most benchmarks.
On price, Phi 4 is roughly 2.0x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
Gemini 2.5 Flash-Lite also accepts a larger context window (1,048,576 input tokens), making it the stronger choice for long documents and large codebases.
Choose Gemini 2.5 Flash-Lite if…
- you want the strongest raw capability — it leads on 2 of 2 shared benchmarks
- you process long inputs — it offers a 1,048,576 token context window
- you want the most recent training data — it shipped Jun 2025
Choose Phi 4 if…
- cost matters — it's about 2.0x cheaper per token
Performance Benchmarks
Comparative analysis across standard metrics
Gemini 2.5 Flash-Lite outperforms in 2 benchmarks (GPQA, SimpleQA), while Phi 4 is better at 0 benchmarks.
Gemini 2.5 Flash-Lite significantly outperforms across most benchmarks.
Arena Performance
Human preference votes
Pricing Analysis
Price comparison per million tokens
For input processing, Gemini 2.5 Flash-Lite ($0.10/1M tokens) is 1.4x more expensive than Phi 4 ($0.07/1M tokens).
For output processing, Gemini 2.5 Flash-Lite ($0.40/1M tokens) is 2.9x more expensive than Phi 4 ($0.14/1M tokens).
In conclusion, Gemini 2.5 Flash-Lite is more expensive than Phi 4.*
* Using a 3:1 ratio of input to output tokens
Context Window
Maximum input and output token capacity
Gemini 2.5 Flash-Lite accepts 1,048,576 input tokens compared to Phi 4's 16,000 tokens. Gemini 2.5 Flash-Lite can generate longer responses up to 65,536 tokens, while Phi 4 is limited to 16,000 tokens.
Input Capabilities
Supported data types and modalities
Gemini 2.5 Flash-Lite supports multimodal inputs, whereas Phi 4 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
Phi 4
License
Usage and distribution terms
Gemini 2.5 Flash-Lite is licensed under Creative Commons Attribution 4.0 License, while Phi 4 uses MIT.
License differences may affect how you can use these models in commercial or open-source projects.
Creative Commons Attribution 4.0 License
Open weights
MIT
Open weights
Release Timeline
When each model was launched
Gemini 2.5 Flash-Lite was released on 2025-06-17, while Phi 4 was released on 2024-12-12.
Gemini 2.5 Flash-Lite is 6 months newer than Phi 4.
Jun 17, 2025
12 months ago
6mo newerDec 12, 2024
1.5 years ago
Knowledge Cutoff
When training data ends
Gemini 2.5 Flash-Lite has a knowledge cutoff of 2025-01-01, while Phi 4 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 (2024-06-01).
Jan 2025
7 mo newerJun 2024
Provider Availability
Gemini 2.5 Flash-Lite is available from Google. Phi 4 is available from DeepInfra.
Gemini 2.5 Flash-Lite
Phi 4
Outputs Comparison
Key Takeaways
Phi 4
View detailsMicrosoft
Detailed Comparison
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FAQ
Common questions about Gemini 2.5 Flash-Lite vs Phi 4.