Openai Rate Limits
OpenAI throttles on five dimensions at once — requests per minute, requests per day, tokens per minute, tokens per day and images per minute, plus audio minutes per minute for streaming audio models — and whichever is hit first returns 429. The numbers themselves are per MODEL and per usage TIER, and OpenAI publishes them in two different places: the monthly usage ceiling is tabulated by tier in the rate-limits guide (recorded below), while RPM/TPM are published per model on the models page and are not tabulated by tier anywhere, so they are not reproduced here rather than guessed at. Tier advancement is automatic on cumulative spend. The runtime signal is good: nine x-ratelimit-* headers plus Retry-After, including a separate project-token triple, so an agent can pace itself without ever reading the docs.
Openai Rate Limits is the rate-limit profile for OpenAI on the APIs.io network — every limit transcribed verbatim from the provider’s own documentation on 2026-09-23.
| It captures 6 rate-limit definitions, across the Free, Tier 1, Tier 2, Tier 3, and Tier 4 tiers, including Free tier monthly usage limit — free | user must be in an allowed geography | $100 / month; Tier 1 monthly usage limit — tier 1 | $5 paid | $100 / month; Tier 2 monthly usage limit — tier 2 | $50 paid | $500 / month. |
Limit state is signalled in the limitRequests, limitTokens, remainingRequests, and remainingTokens response headers, and an exhausted limit returns HTTP 429.
The profile also includes 5 backoff/retry policies defined and response codes documented for throttled and slowDown.
Tagged areas include Rate Limiting and AI.
limitRequestslimitTokensremainingRequestsremainingTokens
Limits
Policies
Sources
- https://developers.openai.com/api/docs/guides/rate-limits
- https://developers.openai.com/api/docs/guides/rate-limits.md
- https://platform.openai.com/docs/guides/rate-limits
- https://developers.openai.com/api/docs/guides/error-codes
Work with this as data
Every rate limit here is available over the APIs.io API and to AI agents over MCP.