AI Model Atlas / OpenAI
GPT-4.1 Nano (batch)
One million input tokens cost $0.050 and one million output tokens $0.20. Context window: 1M tokens, about 1,746 A4 pages.
What it costs in practice
Pricing per million tokens doesn't mean anything to anyone, so I convert it to three tasks that people actually give to models. The usage assumptions are listed for each row so you can verify them.
| Task | Input | Output | Cost |
|---|---|---|---|
| 1500-word articlebrief plus finished text in English | 1,500 tokens | 2,200 tokens | $0.0005 |
| 100 chat queries700 tokens per question and 400 per answer | 70,000 tokens | 40,000 tokens | $0.01 |
| Hour of work with an agentagent reads repository and writes fixes | 250,000 tokens | 30,000 tokens | $0.02 |
Technical details
| Provider | OpenAI |
| Modalities | image + text + files → text |
| Context window | 1M tokens (~1,746 A4 pages) |
| Maximum response | 33k tokens |
| Step-by-step reasoning | no |
| Tool calling | yes |
| Forced JSON format | yes |
| Knowledge cutoff | 2024-06-30 |
| Cache read | $0.013 per million |
| Content moderation | yes, provider filters |
How it compares to the rest
The database contains 469 models. In terms of input pricing GPT-4.1 Nano (batch) is more expensive than 7 percent of paid models. A longer context window is available in 135 models.
Input price history
2026-09-08 · $0.0502026-11-11 · $0.050
The chart shows the price of a million input tokens on consecutive measurement days. History starts on the day I launched the atlas and grows with each day. I don't backfill data.
Alternatives at a similar price
Models from other providers whose cost for the same article comes out closest.
| Model | Input / M | Output / M | 1500-word article | Context |
|---|---|---|---|---|
| Solar Mini 4Upstage | $0.050 | $0.20 | $0.0005 | 524k |
| DeepSeek V4 Flash 0423DeepSeek | $0.090 | $0.18 | $0.0005 | 1M |
| Ling 3.0 Flash VLInclusionai | $0.060 | $0.18 | $0.0005 | 131k |
| Nemotron 3.5 LightningNVIDIA | $0.070 | $0.20 | $0.0005 | 262k |
Compare GPT-4.1 Nano (batch) with another model or go back to the full database 469 models.