deepseek
GPT-4.1 Nano vs DeepSeek V4 Flash 0731
74.2 overall · $0.190 / 1M
// openai
GPT-4.1 Nano
openai/gpt-4.1-nano
tool callingimage inputfile inputprompt caching
GPT-4.1 Nano costs $0.100 per 1M input tokens and $0.400 per 1M output tokens with a 1.0M-token context window.
A tool-calling model from openai, released Apr 14, 2025. LiveBench hasn't published a run for it, so this page carries measured price and specs only — no benchmark numbers.
- Input / 1M
- $0.100
- Output / 1M
- $0.400
- Context
- 1.0M
- LiveBench overall
- Not evaluated
Specs and pricing
| Input price USD per 1M prompt tokens | $0.100 |
|---|---|
| Output price USD per 1M completion tokens, reasoning included | $0.400 |
| Blended price 3:1 input:output — #71 cheapest of 343 listed models | $0.175 |
| Cached input read Blank means not priced separately — not free | $0.025 |
| Cache write | — |
| Context window | 1,047,576 tokens |
| Max output | 32,768 tokens |
| Input modalities | image, text, file |
| Tool calling | Yes |
| Extended reasoning | No |
| Knowledge cutoff | 2024-06-30 |
| Listed | Apr 14, 2025 |
Also listed as openai/gpt-4.1-nano:batch ($0.087 blended)— the same model at a different price or rate limit.
What GPT-4.1 Nano costs to run
Monthly list cost across five workload shapes, using the published cached-input rate where there is one. A floor, not a quote — batch discounts and cache writes aren't included.
| Workload | Per month |
|---|---|
| Support chatbot 1.2K in / 400 out × 200K requests | $50.60/mo |
| RAG assistant 8K in / 600 out × 100K requests | $74.00/mo |
| Coding agent 40K in / 4K out × 20K requests | $70.00/mo |
| Document extraction 20K in / 1.5K out × 50K requests | $126.25/mo |
| Bulk classification 500 in / 20 out × 5M requests | $252.50/mo |
Compare GPT-4.1 Nano with
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GPT-4.1 Nano FAQ
How much does GPT-4.1 Nano cost?
GPT-4.1 Nano lists at $0.100 per 1M input tokens and $0.400 per 1M output tokens, with cached input reads at $0.025 per 1M. A RAG assistant handling 100K requests a month (8K tokens in, 600 out) comes to about $74.00 at list price.
What is the context window of GPT-4.1 Nano?
GPT-4.1 Nano accepts up to 1,047,576 tokens of context and can return up to 32,768 output tokens per response.
Does GPT-4.1 Nano support tool calling?
Yes — GPT-4.1 Nano supports tool (function) calling. It accepts image, text, file input.
How does GPT-4.1 Nano score on benchmarks?
LiveBench has not published a run for GPT-4.1 Nano yet. Until it does, compare it on price and specs, or run your own evaluation on your own tasks.
What is the API model ID for GPT-4.1 Nano?
On OpenRouter the model ID is "openai/gpt-4.1-nano". It was listed on Apr 14, 2025.
More from openai
How these numbers are produced
- Price and specs — provider list data from OpenRouter, refreshed every 15 minutes. “Blended” is a 3:1 input:output mix.
- Scores and ranks — LiveBench release 2026-06-25. Ranks count only models that have a published run; a blank means “not evaluated”, never “bad”.
- Cost per point — the measured dollars LiveBench spent on the run, divided by the score it earned.
Published benchmarks rank models on someone else's tasks. Before committing, see LLM & agent evaluation for building an eval on your own.