Text model
gpt-4.1-nano pricing
OpenAI charges $0.10 per million input tokens and $0.40 per million output tokens for gpt-4.1-nano, and $0.025 for cached input. Below: every rate that applies, what common workloads cost, and cheaper options.
- Input
- $0.10/ 1M
- Output
- $0.40/ 1M
- Cached input
- $0.025/ 1M
- Context
- 1Mtokens
Retires 2026-10-23. Move to a current GPT / gpt-image model. npx @veqen/sdk scan finds every place your code uses it.
All rates
| Tier | Input | Output | Cache read | Cache write |
|---|---|---|---|---|
| Standard | $0.10 | $0.40 | $0.025 | — |
| Batch | $0.05 | $0.20 | — | — |
| Priority | $0.20 | $0.80 | $0.05 | — |
USD per million tokens. Long-context tiers apply when the whole prompt, cached tokens included, passes the threshold.
Work it out
What common workloads cost
| Workload | Per call | Cost per call | Calls a month | Per month |
|---|---|---|---|---|
| Chat reply | 1,500 input and 400 output tokens | $0.00031 | 100,000 | $31.00 |
| RAG answer, cached context | 2,000 fresh + 4,000 cached input, 500 output | $0.0005 | 100,000 | $50.00 |
| Agent step | 4,000 fresh + 8,000 cached input, 800 output | $0.00092 | 250,000 | $230.00 |
| Batch summary | 3,000 input and 300 output tokens via the Batch API | $0.00021 | 1,000,000 | $210.00 |
Planning a mix of models? Simulate a workload with gpt-4.1-nano, alongside anything else you run.
Cheaper options
Current models that cost at least 15% less for a typical chat reply. Cheaper isn't always equivalent: test quality on your own prompts, then use veqen diff to see the impact at your volume.
| Model | Chat reply | Saving |
|---|---|---|
| openai/gpt-5-nano | $0.000235 | 24% |
| cloudflare/@cf/zai-org/glm-4.7-flash | $0.000251 | 19% |
| deepinfra/zai-org/GLM-4.7-Flash | $0.00025 | 19% |
Price history
No price changes since Veqen started tracking this model.
Also billed under: gpt-4.1-nano-2025-04-14.
Compare
Last verified with price book 2026-10-22. Sources: OpenAI pricing and LiteLLM's MIT-licensed price file. Track every call to this model, per customer or project: install the SDK.