Fireworks Ai Rate Limits
Fireworks AI publishes high serverless rate limits that scale with paid spend, expressed primarily as RPM (requests per minute) per model, with separate limits for batch jobs and fine-tuning. On-demand dedicated deployments are bounded by provisioned GPU capacity rather than shared serverless limits.
Fireworks Ai Rate Limits is the machine-readable rate-limit profile for Fireworks AI on the APIs.io network, conforming to the API Commons Rate Limits specification.
It captures 6 rate-limit definitions, measuring requests, concurrent, tokens, jobs, and concurrent_jobs.
The profile also includes 2 backoff/retry policies defined and response codes documented for throttled.
Tagged areas include AI, LLM, Inference, Multimodal, and Fine-tuning.
Limits
Policies
Sources
Work with this as data
Every rate limit here is available over the APIs.io API and to AI agents over MCP.
MCP server
One button, every client — Claude, Cursor, VS Code and the rest.
https://apis.io/mcp
Tools for rate limits
4 MCP tools reach this
find_rate_limitsBrowse and filter every rate limit in the catalog.apis_io_searchSTART HERE — APIs, providers and tags for one query, each with its total.resolveTurn a domain, URL or GitHub org into the provider it belongs to.find_cohortsEvery scored population of providers in the catalog.
Call it yourself
curl for this page
curl "https://apis.io/api/v1/rate-limits/fireworks-ai-rate-limits"
curl "https://apis.io/api/v1/rate-limits?limit=25"
Discovery needs no key. Ratings and market analysis are Pro.