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OpenAI API limits

Model context, output, rate, and project-scoped API constraints. Values below are scoped rather than flattened into one misleading platform-wide number.

Verified Aug 22, 2026Official docs
Quick answer:  OpenAI API has multiple independent constraints. Match the exact plan, model, runtime, invocation mode, or server configuration shown in each row.

Current documented limits

ConstraintCurrent valueScopeVerified source
API rate-limit scopeOpenAI measures RPM, RPD, TPM, TPD, IPM, and certain audio limits; the first exhausted limiter applies.Varies by model and usage tierAll API organizationsOpenAIAug 22, 2026
GPT-5.6 Sol / Terra / Luna context windowModel-specific API context window; output is also bounded separately.1,050,000 tokensGPT-5.6OpenAIAug 22, 2026
GPT-5.6 maximum outputSeparate output ceiling shown for the current GPT-5.6 Sol, Terra, and Luna models.128,000 tokensGPT-5.6OpenAIAug 22, 2026

How to apply OpenAI API limits safely

The monitored baseline covers API rate-limit scope, GPT-5.6 Sol / Terra / Luna context window, GPT-5.6 maximum output. Treat these as separate constraints rather than one platform-wide capacity number: a workload can fit one row and still fail another because the plan, model, endpoint, runtime, region, invocation mode, or account scope differs.

  1. Match the production workload to the exact scope printed beside each value and confirm it in the active OpenAI API console, configuration, or response headers.
  2. Measure the serialized request, token volume, duration, concurrency, storage, or connection demand at realistic percentiles, then preserve headroom for bursts and retries.
  3. Check every adjacent layer—client, SDK, gateway, proxy, queue, database, and downstream service—for a smaller effective limit before changing architecture.

Specific limit pages

These pages exist because the constraint has a distinct implementation or troubleshooting intent. Closely related keyword variations stay consolidated.

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Official sources

View OpenAI API change history