Gemini 2.5 Flash-Lite vs GPT-4.1 nano
Gemini 2.5 Flash-Lite significantly outperforms across most benchmarks. Gemini 2.5 Flash-Lite and GPT-4.1 nano cost the same.
Google · OpenAI · Updated for 2026
Which is better?
Gemini 2.5 Flash-Lite outperforms in 3 benchmarks (Aider-Polyglot, GPQA, MMMU), while GPT-4.1 nano is better at 0 benchmarks. Gemini 2.5 Flash-Lite significantly outperforms across most benchmarks.
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.
Based on current benchmark, pricing, and model metadata for 2026.
Choose Gemini 2.5 Flash-Lite
- you want the strongest raw capability — it leads on 3 of 3 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
- you need open weights you can self-host or fine-tune
Choose GPT-4.1 nano
- you want predictable pricing at $0.10/M input and $0.40/M output
At a glance
The differences that matter most.
Performance Benchmarks
Comparative analysis across standard metrics
Gemini 2.5 Flash-Lite outperforms in 3 benchmarks (Aider-Polyglot, GPQA, MMMU), while GPT-4.1 nano is better at 0 benchmarks.
Gemini 2.5 Flash-Lite significantly outperforms across most benchmarks.
Arena Performance
Playground indexes and blind preference scores
Pricing Analysis
Price comparison per million tokens
For input processing, Gemini 2.5 Flash-Lite ($0.10/1M tokens) costs the same as GPT-4.1 nano ($0.10/1M tokens).
For output processing, Gemini 2.5 Flash-Lite ($0.40/1M tokens) costs the same as GPT-4.1 nano ($0.40/1M tokens).
In conclusion, Gemini 2.5 Flash-Lite and GPT-4.1 nano cost the same.*
* 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 GPT-4.1 nano's 1,047,576 tokens. Gemini 2.5 Flash-Lite can generate longer responses up to 65,536 tokens, while GPT-4.1 nano is limited to 32,768 tokens.
Input Capabilities
Supported data types and modalities
Both Gemini 2.5 Flash-Lite and GPT-4.1 nano support multimodal inputs.
They are both capable of processing various types of data, offering versatility in application.
Gemini 2.5 Flash-Lite
GPT-4.1 nano
License
Usage and distribution terms
Gemini 2.5 Flash-Lite is licensed under Creative Commons Attribution 4.0 License, while GPT-4.1 nano uses a proprietary license.
License differences may affect how you can use these models in commercial or open-source projects.
Creative Commons Attribution 4.0 License
Open weights
Proprietary
Closed source
Release Timeline
When each model was launched
Gemini 2.5 Flash-Lite was released on 2025-06-17, while GPT-4.1 nano was released on 2025-04-14.
Gemini 2.5 Flash-Lite is 2 months newer than GPT-4.1 nano.
Jun 17, 2025
1.2 years ago
2mo newerApr 14, 2025
1.4 years ago
Knowledge Cutoff
When training data ends
Gemini 2.5 Flash-Lite has a knowledge cutoff of 2025-01-01, while GPT-4.1 nano has a cutoff of 2024-05-31.
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 GPT-4.1 nano (2024-05-31).
Jan 2025
8 mo newerMay 2024
Provider Availability
Gemini 2.5 Flash-Lite is available from Google. GPT-4.1 nano is available from OpenAI.
Gemini 2.5 Flash-Lite
GPT-4.1 nano
Outputs Comparison
Judge for yourself.
Run your own prompts against Gemini 2.5 Flash-Lite and GPT-4.1 nano side-by-side, then vote on the output you prefer.
FAQ
Common questions about Gemini 2.5 Flash-Lite vs GPT-4.1 nano.