OpenAI: GPT-4.1 Nano
Analysis Summary
OpenAI: GPT-4.1 Nano sits in the Efficient tier on our leaderboard, ranked #166 of 556 published models on overall intelligence. At $0.100 input and $0.400 output per 1M tokens, it is among the most expensive on the market. It offers an exceptionally large context window suited to long-document workflows and supports tool use, function calling, and vision.
Editorial notes
GPT-4.1 Nano offers a 1M token context, vision, tool use, and function calling at $0.10/$0.40 per million tokens; reasoning and coding scores are limited but the capability breadth suits lightweight agentic tasks.
Assessed May 14, 2026
Rankings consider pricing, capabilities, benchmarks, and real-world applicability and are refreshed as new models launch. Feedback?
Performance Profile
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 ā refreshed every 30 minutes.
