Model Comparison
Gemini 3 Flash vs GPT-4.1 nanoWhich is better in 2026?
Gemini 3 Flash significantly outperforms across most benchmarks. GPT-4.1 nano is 6.4x cheaper per token.
Verdict: Gemini 3 Flash vs GPT-4.1 nano — which is better?
Gemini 3 Flash (by Google) and GPT-4.1 nano (by OpenAI) 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 3 Flash outperforms in 3 benchmarks (CharXiv-R, GPQA, MMMLU), while GPT-4.1 nano is better at 0 benchmarks. Gemini 3 Flash significantly outperforms across most benchmarks.
On price, GPT-4.1 nano is roughly 6.4x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
GPT-4.1 nano also accepts a larger context window (1,047,576 input tokens), making it the stronger choice for long documents and large codebases.
Choose Gemini 3 Flash if…
- you want the strongest raw capability — it leads on 3 of 3 shared benchmarks
- you want the most recent training data — it shipped Dec 2025
Choose GPT-4.1 nano if…
- cost matters — it's about 6.4x cheaper per token
- you process long inputs — it offers a 1,047,576 token context window
Performance Benchmarks
Comparative analysis across standard metrics
Gemini 3 Flash outperforms in 3 benchmarks (CharXiv-R, GPQA, MMMLU), while GPT-4.1 nano is better at 0 benchmarks.
Gemini 3 Flash significantly outperforms across most benchmarks.
Arena Performance
Human preference votes
Pricing Analysis
Price comparison per million tokens
For input processing, Gemini 3 Flash ($0.50/1M tokens) is 5.0x more expensive than GPT-4.1 nano ($0.10/1M tokens).
For output processing, Gemini 3 Flash ($3.00/1M tokens) is 7.5x more expensive than GPT-4.1 nano ($0.40/1M tokens).
In conclusion, Gemini 3 Flash is more expensive than GPT-4.1 nano.*
* Using a 3:1 ratio of input to output tokens
Context Window
Maximum input and output token capacity
GPT-4.1 nano accepts 1,047,576 input tokens compared to Gemini 3 Flash's 1,000,000 tokens. Gemini 3 Flash 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 3 Flash and GPT-4.1 nano support multimodal inputs.
They are both capable of processing various types of data, offering versatility in application.
Gemini 3 Flash
GPT-4.1 nano
License
Usage and distribution terms
Both models are licensed under proprietary licenses.
Both models have usage restrictions defined by their respective organizations.
Proprietary
Closed source
Proprietary
Closed source
Release Timeline
When each model was launched
Gemini 3 Flash was released on 2025-12-17, while GPT-4.1 nano was released on 2025-04-14.
Gemini 3 Flash is 8 months newer than GPT-4.1 nano.
Dec 17, 2025
5 months ago
8mo newerApr 14, 2025
1.1 years ago
Knowledge Cutoff
When training data ends
Gemini 3 Flash has a knowledge cutoff of 2025-01-31, while GPT-4.1 nano has a cutoff of 2024-05-31.
Gemini 3 Flash has more recent training data (up to 2025-01-31), 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 3 Flash is available from Google. GPT-4.1 nano is available from OpenAI.
Gemini 3 Flash
GPT-4.1 nano
Outputs Comparison
Key Takeaways
GPT-4.1 nano
View detailsOpenAI
Detailed Comparison
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FAQ
Common questions about Gemini 3 Flash vs GPT-4.1 nano.