GPT-4.1 Nano

GPT-4.1 Nano by OpenAI excels in the Coding category, where it ranks #67 with a composite score of 58/100. For tasks that demand low latency, GPT‑4.1 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 token context window, and scores 80.1% on MMLU, 50.3% on GPQA, and 9.8% on Aider polyglot coding – even higher than GPT‑4o mini. It’s ideal for tasks like classification or autocompletion. It is particularly strong in areas highlighted by its top benchmark performance and adoption metrics, making it suitable for both individual developers and enterprise teams looking for a reliable coding solution.

GPT-4.1 Nano is priced at $0.10 per million input tokens and $0.40 per million output tokens (USD). Contact the provider for volume discounts and enterprise pricing. Pricing is competitive within the coding category and reflects the model's quality-to-cost ratio.

In the Coding category, GPT-4.1 Nano holds rank #67 out of 6 models tracked. Its quality rank is #67 and adoption rank is #67. You can use our comparison tool at /compare to see detailed side-by-side metrics with specific alternatives. Key differentiators include its composite scoring across benchmarks, community sentiment, and real-world adoption rates.

GPT-4.1 Nano has been evaluated across 6 different signals. Its strongest areas include Capabilities (71/100), Context Window (96/100), Output Capacity (75/100). These scores are derived from industry-standard benchmarks, community ratings, and real-world performance metrics. The composite score of 58/100 reflects a weighted combination of all tracked signals.

GPT-4.1 Nano is a paid model, though some providers may offer trial credits or limited free tiers for evaluation. Check OpenAI's website for current free tier availability and promotional offers.