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CostPerPrompt

GPT-4.1 API Pricing

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

Input per 1M tokens
$2.00
Output per 1M tokens
$8.00
Cached input per 1M
$0.5
75% cheaper than fresh input

What real workloads cost on GPT-4.1

Workload Per request Per month
1K short requests/day (500 in / 150 out) $0.0022 $66.00
Support chatbot, 500 convs/day (~5K in / 1.4K out per conv) $0.0212 $318
Document pipeline, 10K docs/day (3K in / 500 out) $0.01 $3000

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

Cheaper alternatives

Gemini 3.6 Flash Google $1.50 in · $7.50 out Mistral Medium 3.5 Mistral $1.50 in · $7.50 out Qwen3.6 Max Preview Alibaba (Qwen) $1.03 in · $6.16 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 API cost?

GPT-4.1 costs $2.00 per million input tokens and $8.00 per million output tokens, with cached input at $0.5 per million (75% cheaper). In practice, a typical short request (500 tokens in, 150 out) costs about $0.0022.

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

At 500 input + 150 output tokens per request, 1,000 requests/day costs about $66.00 per month. Heavier workloads scale linearly — use our API cost calculator to model your exact traffic.

› How can I reduce GPT-4.1 costs?

Three levers, in order of impact: (1) route routine requests to a cheaper tier and keep GPT-4.1 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 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.