OpenAI: GPT-4.1 Nano API Pricing
OpenAI: GPT-4.1 Nano costs $0.100 per 1M input tokens and $0.400 per 1M output tokens (cache reads: $0.025). Context window: 1.0M. Prices verified 2026-10-21 · source
Alternatives to consider
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Rebuilt daily from our snapshot archive — the chart appears once a model has 5+ snapshots of history.
From our own daily snapshot archive — independent of provider announcements.
Intelligence measures reasoning/knowledge/coding benchmarks. A high score with a low blended price = value pick; check the value chart to see where this model lands.
Token economics
| Token type | Price | vs base input |
|---|---|---|
| Standard input | $0.100 | — |
| Cache read | $0.025 | −75% |
| Output | $0.400 | — |
| Web search tool | $10/1k searches | — |
Prompt caching stores repeated context server-side: reads cost far less, but writes carry a one-time premium.
Training data ends here — newer events require retrieval or web search.
What would OpenAI: GPT-4.1 Nano cost you per month?
| Workload | Requests/mo | Avg tokens (in/out) | Est. monthly cost |
|---|---|---|---|
| Light chatbot | 10,000 | 800 / 400 | $2.40 |
| Coding agent | 5,000 | 8,000 / 2,000 | $8.00 |
| RAG pipeline | 30,000 | 4,000 / 500 | $18.00 |
| Doc summarizer | 2,000 | 20,000 / 1,000 | $4.80 |
Estimates use list prices without prompt caching. Caching can cut input cost by up to 90% on repeated context.
About OpenAI: GPT-4.1 Nano
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...
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Frequently asked questions
How much does OpenAI: GPT-4.1 Nano cost?
OpenAI: GPT-4.1 Nano costs $0.100 per 1M input tokens and $0.400 per 1M output tokens; cached input tokens cost $0.025 per 1M. Verified 2026-10-21 — provider source.
What is the context window?
1.0M tokens, with up to 33K output tokens per response. That's roughly 1309 pages of text in a single request.
Does it support prompt caching?
Yes — cached input is $0.025/1M, about 75% cheaper than standard input. Agents and RAG workloads with repeated context benefit most.
What's a cheaper alternative?
ScaleDown: Summarize saves about 85% on a typical workload with comparable quality.
Official resources
- OpenAI: GPT-4.1 Nano on OpenRouter — live endpoint, pricing source of record.
- Artificial Analysis leaderboard → — independent intelligence and performance rankings.
- OpenAI pricing → — first-party pricing and billing details.
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