Model Comparison
GPT-5 nano vs o1-miniWhich is better in 2026?
GPT-5 nano significantly outperforms across most benchmarks. GPT-5 nano is 38.2x cheaper per token.
Verdict: GPT-5 nano vs o1-mini — which is better?
GPT-5 nano (by OpenAI) and o1-mini (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.
GPT-5 nano outperforms in 1 benchmarks (GPQA), while o1-mini is better at 0 benchmarks. GPT-5 nano significantly outperforms across most benchmarks.
On price, GPT-5 nano is roughly 38.2x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
GPT-5 nano also accepts a larger context window (400,000 input tokens), making it the stronger choice for long documents and large codebases.
Choose GPT-5 nano if…
- you want the strongest raw capability — it leads on 1 of 1 shared benchmarks
- cost matters — it's about 38.2x cheaper per token
- you process long inputs — it offers a 400,000 token context window
- you want the most recent training data — it shipped Aug 2025
Choose o1-mini if…
- you want predictable pricing at $3.00/M input and $12.00/M output
Performance Benchmarks
Comparative analysis across standard metrics
GPT-5 nano outperforms in 1 benchmarks (GPQA), while o1-mini is better at 0 benchmarks.
GPT-5 nano significantly outperforms across most benchmarks.
Arena Performance
Human preference votes
Pricing Analysis
Price comparison per million tokens
For input processing, GPT-5 nano ($0.05/1M tokens) is 60.0x cheaper than o1-mini ($3.00/1M tokens).
For output processing, GPT-5 nano ($0.40/1M tokens) is 30.0x cheaper than o1-mini ($12.00/1M tokens).
In conclusion, o1-mini is more expensive than GPT-5 nano.*
* Using a 3:1 ratio of input to output tokens
Context Window
Maximum input and output token capacity
GPT-5 nano accepts 400,000 input tokens compared to o1-mini's 128,000 tokens. GPT-5 nano can generate longer responses up to 128,000 tokens, while o1-mini is limited to 65,536 tokens.
Input Capabilities
Supported data types and modalities
GPT-5 nano supports multimodal inputs, whereas o1-mini does not.
GPT-5 nano can handle both text and other forms of data like images, making it suitable for multimodal applications.
GPT-5 nano
o1-mini
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
GPT-5 nano was released on 2025-08-07, while o1-mini was released on 2024-09-12.
GPT-5 nano is 11 months newer than o1-mini.
Aug 7, 2025
10 months ago
10mo newerSep 12, 2024
1.7 years ago
Knowledge Cutoff
When training data ends
GPT-5 nano has a documented knowledge cutoff of 2024-05-30, while o1-mini's cutoff date is not specified.
We can confirm GPT-5 nano's training data extends to 2024-05-30, but cannot make a direct comparison without o1-mini's cutoff date.
May 2024
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Provider Availability
GPT-5 nano is available from OpenAI. o1-mini is available from OpenAI, Azure.
GPT-5 nano
o1-mini
Outputs Comparison
Key Takeaways
GPT-5 nano
View detailsOpenAI
o1-mini
View detailsOpenAI
No standout differentiators in the data we have for this pair.
Detailed Comparison
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FAQ
Common questions about GPT-5 nano vs o1-mini.