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CostPerPrompt

GPT-4.1 Nano API Pricing

OpenAI · context window 1M · prices updated 2026-08-02

Input per 1M tokens
$0.1
Output per 1M tokens
$0.4
Cached input per 1M
$0.025
75% cheaper than fresh input

What real workloads cost on GPT-4.1 Nano

Workload Per request Per month
1K short requests/day (500 in / 150 out) $0.0001 $3.30
Support chatbot, 500 convs/day (~5K in / 1.4K out per conv) $0.0011 $15.90
Document pipeline, 10K docs/day (3K in / 500 out) $0.0005 $150

Model your exact traffic in the API cost calculator — it preloads GPT-4.1 Nano with caching and batch options.

Cheaper alternatives

Gemma 4 31B Google $0.1 in · $0.34 out Gemma 4 26B A4B Google $0.07 in · $0.34 out Llama 3.2 3B Instruct Meta $0.05 in · $0.33 out

More OpenAI models

o1-pro GPT-5.5 Pro GPT-5.4 Pro GPT-4

Frequently asked questions

› How much does the GPT-4.1 Nano API cost?

GPT-4.1 Nano costs $0.1 per million input tokens and $0.4 per million output tokens, with cached input at $0.025 per million (75% cheaper). In practice, a typical short request (500 tokens in, 150 out) costs about $0.0001.

› What does 1,000 requests per day cost on GPT-4.1 Nano?

At 500 input + 150 output tokens per request, 1,000 requests/day costs about $3.30 per month. Heavier workloads scale linearly — use our API cost calculator to model your exact traffic.

› How can I reduce GPT-4.1 Nano costs?

Three levers, in order of impact: (1) route routine requests to a cheaper tier and keep GPT-4.1 Nano for hard cases; (2) enable prompt caching — cached input is 75% cheaper, which typically halves chatbot bills; (3) use the batch API for non-urgent jobs at a ~50% discount.

› Is GPT-4.1 Nano worth the price?

It depends on task difficulty. Flagship models earn their premium on complex reasoning, coding, and high-stakes output; mini/flash tiers handle classification, extraction and routine chat at 10–30× lower cost. Benchmark a sample of your real workload on both before committing.