One agent session
1M input tokens and 100K output tokens, no caching.
- Input1M x $0.10 = $0.10
- Output0.1M x $0.40 = $0.04
$0.14per session
OpenAI - Closed weights
GPT-4.1 nano pricing and specs
GPT-4.1 nano is a closed-weights model from OpenAI that costs $0.10 per 1M input tokens and $0.40 per 1M output tokens on the first-party API, with a 1.05M-token context window.
Last verified from developers.openai.com. All sources
- Input / 1M
- $0.10
- Output / 1M
- $0.40
- Context
- 1.05M tokens
- Weights
- Closed
Pricing per 1M tokens
| Item | Price / 1M tokens |
|---|---|
| Input | $0.10 |
| Output | $0.40 |
| Cache read | $0.025 |
| Batch inputBatch requests | $0.05 |
| Batch outputBatch requests | $0.20 |
| Fast mode inputFast mode requests | $0.20 |
| Fast mode outputFast mode requests | $0.80 |
Note: Non-reasoning model. Default snapshot gpt-4.1-nano-2025-04-14.
Specs
- Context window
- 1,047,576 tokens
- Max output
- 32,768 tokens
- Release date
- Provider
- OpenAI
- API model id
gpt-4.1-nano- Vercel AI Gateway id
openai/gpt-4.1-nano- Weights
- Closed weights
What GPT-4.1 nano costs in practice
Worked from the standard list rates above, with the math shown so you can swap in your own token counts.
A chat app
10,000 requests a day at 2K input and 500 output tokens each.
- Input20M x $0.10 = $2.00
- Output5M x $0.40 = $2.00
$4.00per day
$120.00 per 30-day month
The same session at a 90% cache hit
90% of the input is read from the prompt cache. The one-time cache write premium is not included.
- Cached input0.9M x $0.025 = $0.0225
- Uncached input0.1M x $0.10 = $0.01
- Output0.1M x $0.40 = $0.04
$0.0725per session
Compare with
| Model | Input / 1M | Output / 1M |
|---|---|---|
| GPT-4.1 nano (this page) | $0.10 | $0.40 |
| Gemini 2.5 Flash-LiteGoogle | $0.10 | $0.40 |
| GLM-4.7-FlashXZ.ai | $0.07 | $0.40 |
| GPT-5 nanoOpenAI | $0.05 | $0.40 |
| Jamba2 MiniAI21 Labs | $0.20 | $0.40 |
| GPT-6 LunaOpenAI | $0.10 | $0.50 |
| GPT-4o MiniOpenAI | $0.15 | $0.60 |
| GPT-5.6 LunaOpenAI | $0.20 | $1.20 |
| GPT-5.4 nanoOpenAI | $0.20 | $1.25 |
| GPT-3.5 TurboOpenAI | $0.50 | $1.50 |
Related reading
- Codex CLI 0.163: Instant Steering Is Now the DefaultCodex CLI 0.163.0 makes mid-response steering the default and adds searchable /config and a leader key. What changed and what to check before upgrading.
- Tool Calling Under the Hood: Claude Messages vs OpenAI ResponsesHow tool calling works on the wire: JSON schema tools, parallel calls, tool_choice, strict mode and streaming deltas in Claude Messages vs OpenAI Responses.
- Codex 'gpt-5.5 Model Is Not Supported' Error: The FixCodex says gpt-5.5 is not supported with a ChatGPT account because OpenAI retired it from ChatGPT sign-in on October 14. The fix and what still works.
- Codex CLI Background Daemon: How to Turn It OffCodex CLI starts a persistent, self-updating background daemon since 0.157.0. What it does, why it hit Hacker News and the reported workaround to turn it off.
- Codex CLI 0.162: Managed Worktrees and Pinned TasksCodex CLI 0.162 lets the agent create and list its own Git worktrees, adds pinned tasks and custom provider capability overrides. What to change this week.
- ChatGPT Free vs Go vs Plus After GPT-6: Which Model You GetFree and Go ($8) both get GPT-6 Luna in Chat. Plus ($20) is the cheapest plan with GPT-6 Sol and full Codex. What each ChatGPT plan buys now.
FAQ
How much does GPT-4.1 nano cost per million tokens?
GPT-4.1 nano costs $0.10 per 1M input tokens and $0.40 per 1M output tokens on OpenAI's first-party API, per developers.openai.com on October 17, 2026. Per 1M tokens, cache reads cost $0.025, and the batch rate is $0.05 input and $0.20 output.
What is GPT-4.1 nano's context window?
GPT-4.1 nano has a 1,047,576-token context window and returns up to 32,768 output tokens per response.
Are GPT-4.1 nano's weights open?
No. GPT-4.1 nano is a closed-weights model. You call it through OpenAI's API as gpt-4.1-nano or through Vercel AI Gateway as openai/gpt-4.1-nano.
When was GPT-4.1 nano released?
OpenAI released GPT-4.1 nano on April 14, 2025.
Sources
Last verified from developers.openai.com.
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