OpenAI: GPT-4.1 Nano
Analysis Summary
GPT-4.1 Nano is OpenAI's smallest and cheapest model in the GPT-4.1 family, priced at $0.10 input and $0.40 output per million tokens. It supports text, image, and file input alongside tool use and function calling, with a 1-million-token context window that is exceptional at this price tier.
Benchmark performance is limited: an intelligence index of 13 and coding index of 11.2 place it in the lower range of the current field, and agentic performance (10.5) is minimal. Long-context reasoning (lcr 0.17) is weak, which limits its usefulness for complex document analysis despite the large context window. It is best suited to classification, simple extraction, and high-volume routing tasks.
For businesses needing to process large volumes of short, structured inputs at minimal cost, Nano is a practical tool. It should not be used for tasks requiring nuanced reasoning, complex coding, or reliable autonomous behaviour, but as a cheap triage or pre-processing layer it offers genuine value.
Assessed June 6, 2026
Editorial notes
GPT-4.1 Nano from OpenAI is an ultra-low-cost multimodal model with a 1M token context, tool use, and vision, suited to high-volume lightweight tasks where cost efficiency is the priority.
Rankings consider pricing, capabilities, benchmarks, and real-world applicability and are refreshed as new models launch. Feedback?
Performance Profile
How OpenAI: GPT-4.1 Nano compares
OpenAI: GPT-4.1 Nano ranks #262 of 374 AI models we track for overall intelligence, #218 of 311 for coding, #251 of 286 for agentic tasks. Its 1M-token context window is larger than 92% of the models we list. At $0.10 per million input tokens it is cheaper than 66% of comparable models.
About OpenAI: GPT-4.1 Nano
For tasks that demand low latency, GPTā4.1 nano is the fastest and cheapest model in the GPT-4.1 series. It delivers exceptional performance at a small size with its 1 million..
Capabilities
Performance Indices
Source: Artificial Analysis
Benchmark Scores
Intelligence
Technical
Content
Benchmark data from Artificial Analysis and Hugging Face
How does OpenAI: GPT-4.1 Nano stack up?
Compare side-by-side with other efficient models.
Model Information
Pricing
| Token Type | Cost per 1M tokens | Cost per 1K tokens |
|---|---|---|
| Input | $0.10 | $0.000100 |
| Output | $0.40 | $0.000400 |
Live Performance
Live endpoint metrics, refreshed every 30 minutes.
Leaderboard Categories
External Resources
Frequently asked questions about OpenAI: GPT-4.1 Nano
How much does OpenAI: GPT-4.1 Nano cost?
OpenAI: GPT-4.1 Nano costs $0.10 per million input tokens and $0.40 per million output tokens.
What is the context window of OpenAI: GPT-4.1 Nano?
OpenAI: GPT-4.1 Nano has a context window of 1,047,576 tokens (1M).
Is OpenAI: GPT-4.1 Nano good for coding?
On our coding benchmark index, OpenAI: GPT-4.1 Nano ranks #218 of 311 models, placing it in the broader range of the field for code generation and debugging.
What can OpenAI: GPT-4.1 Nano do?
OpenAI: GPT-4.1 Nano supports image/vision input, tool use, and function calling.
Who created OpenAI: GPT-4.1 Nano?
OpenAI: GPT-4.1 Nano is developed by OpenAI and was released on April 14, 2025.
