All LLM prices / OpenAI
gpt-5.4-2026-03-05 price per 1M tokens
gpt-5.4-2026-03-05 costs $2.50 per 1M input tokens and $15.00 per 1M output tokens, and $0.25 per 1M cached input tokens read.
| Per 1M tokens | Input | Output | Cache read | Cache write |
|---|---|---|---|---|
| gpt-5.4-2026-03-05 | $2.50 | $15.00 | $0.25 | — |
What a call costs
A typical agent step of 20,000 input and 1,500 output tokens costs $0.0725 on gpt-5.4-2026-03-05, so 10,000 of them a month is $725.00. Serving the repeated part of the prompt from cache cuts the input side to $0.25 per 1M.
gpt-5.4-2026-03-05 on other providers
| Listed as | Input | Output | Cache read | Cache write |
|---|---|---|---|---|
| azure/eu/gpt-5.4-2026-03-05 | $2.75 | $16.50 | $0.275 | — |
| azure/gpt-5.4-2026-03-05 | $2.50 | $15.00 | $0.25 | — |
| azure/us/gpt-5.4-2026-03-05 | $2.75 | $16.50 | $0.275 | — |
| azure_ai/gpt-5.4-2026-03-05 | $2.50 | $15.00 | $0.25 | — |
Price history
No change to the listed rates since this log began on 2026-10-04.
Price a call with the free API
No key, no account. It uses this same table, and with "usage_shape": "openai" it takes the cached tokens out of prompt_tokens first, so they aren't billed twice.
curl -s https://api.aight.studio/api/cost \
-H 'content-type: application/json' \
-d '{"model": "gpt-5.4-2026-03-05", "input_tokens": 20000, "output_tokens": 1500, "cache_read_tokens": 12000}'
Returns cost_usd, a breakdown per token type, the rates per 1M, and when the table last changed. Rates only: GET https://api.aight.studio/api/pricing?models=a,b. Rate-limited per client; an unknown model is a 404, never $0. Full API docs.
pip install aight && aight-collect --report prices your Claude Code, Codex or Gemini CLI history locally with no account.