GPT-4.1 nano vs o1-mini
o1-mini leads the LLM Stats Score 10.0 to 1.6. GPT-4.1 nano is 30.0x cheaper per token.
OpenAI · OpenAI · Updated for 2026
Which is better?
o1-mini leads the overall LLM Stats Score 10.0 to 1.6, ranking #269 overall.
In the 2 individual benchmarks reported for both models, o1-mini wins 2; this is a narrower head-to-head signal than the composite indexes.
On price, GPT-4.1 nano is roughly 30.0x 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.
Based on current LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.
Choose GPT-4.1 nano
- cost matters — it's about 30.0x cheaper per token
- you process long inputs — it offers a 1,047,576 token context window
- you want the most recent training data — it shipped Apr 2025
Choose o1-mini
- overall performance matters — it scores 10.0 and ranks #269 on LLM Stats
- your work emphasizes reasoning and coding — it leads those capability indexes
- you value its reported benchmark strengths — it wins 2 of 2 exact shared results
At a glance
The differences that matter most.
Capability indexes
Additional strengths measured across groups of related public benchmarks
Individual benchmarks
24 reported for GPT-4.1 nano · 6 for o1-mini
GPT-4.1 nano outperforms in 0 benchmarks, while o1-mini is better at 2 benchmarks (GPQA, MMLU).
o1-mini significantly outperforms across most benchmarks.
Human preference
Blind head-to-head votes and playground preference scores
Pricing Analysis
Price comparison per million tokens
For input processing, GPT-4.1 nano ($0.10/1M tokens) is 30.0x cheaper than o1-mini ($3.00/1M tokens).
For output processing, GPT-4.1 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-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 o1-mini's 128,000 tokens. o1-mini can generate longer responses up to 65,536 tokens, while GPT-4.1 nano is limited to 32,768 tokens.
Input capabilities
Documented input modalities across available providers
GPT-4.1 nano supports multimodal inputs, whereas o1-mini does not.
GPT-4.1 nano can handle both text and other forms of data like images, making it suitable for multimodal applications.
GPT-4.1 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-4.1 nano was released on 2025-04-14, while o1-mini was released on 2024-09-12.
GPT-4.1 nano is 7 months newer than o1-mini.
Apr 14, 2025
1.4 years ago
7mo newerSep 12, 2024
2.0 years ago
Knowledge Cutoff
When training data ends
GPT-4.1 nano has a documented knowledge cutoff of 2024-05-31, while o1-mini's cutoff date is not specified.
We can confirm GPT-4.1 nano's training data extends to 2024-05-31, but cannot make a direct comparison without o1-mini's cutoff date.
May 2024
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Provider Availability
GPT-4.1 nano is available from OpenAI. o1-mini is available from OpenAI, Azure.
GPT-4.1 nano
o1-mini
Outputs Comparison
Judge for yourself.
Run your own prompts against GPT-4.1 nano and o1-mini side-by-side, then vote on the output you prefer.
FAQ
Common questions about GPT-4.1 nano vs o1-mini.