GPT-4.1 nano — API Pricing & Benchmarks

GPT-4.1 nano is OpenAI's previous-generation model, released in 2025-04. The API costs $0.10 per 1M input tokens and $0.40 per 1M output tokens ($0.18 blended at a 3:1 ratio), with cached input at $0.03. It supports a 1.0M-token context window. On the independently measured Artificial Analysis Intelligence Index it scores 9.6, ranking #65 of 68 models tracked on this site.

Explore provider routes and additional benchmark sources for GPT-4.1 nano

ProviderOpenAI
Input price / 1M tokens$0.10
Output price / 1M tokens$0.40
Cached input / 1M tokens$0.03
Blended price (3:1)$0.18
Context window1.0M
Max output tokens33K
Knowledge cutoff2024-06
Licenseproprietary
Input modalitiesT+I
Output speed (tok/s)
Released2025-04
Artificial Analysis Intelligence Index9.6
GPQA Diamond51.2%
Humanity's Last Exam3.8%

Where GPT-4.1 nano fits

On a blended 3:1 basis GPT-4.1 nano costs $0.18 per 1M tokens, cheaper than 96% of the 80 priced models in this index. It is a previous-generation model: usually only worth choosing if you have an existing integration, negotiated pricing, or need its specific behavior, since newer siblings offer better price-performance. Cached input is priced at $0.03 (75% below standard input), which rewards prompt structures with long stable prefixes — see our caching guide.

Price history

PeriodInput $/1MOutput $/1MCached $/1M
2026-08-25 → current$0.10$0.40$0.03

No list-price changes recorded since tracking began. Full dataset: price-history.json (CC BY 4.0).

Alternatives at a similar price

About OpenAI

OpenAI builds the GPT series. GPT-6 Astra (September 2026) sits at the top at $10/$50, and beneath it the GPT-5.6 generation ships in three sizes — Sol, Terra and Luna — that share the same 1.05M-token context window and tooling, so teams can move workloads between price points without changing integration code.

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