Cerebras
Cerebras Systems designs the wafer-scale WSE-3 chip and the CS-2/CS-3 AI systems built around it, and operates Cerebras Inference, a high-throughput cloud platform for running open-source large language models including Llama, Qwen, and DeepSeek families. Cerebras Inference is positioned as one of the fastest token-generation services in the market, with OpenAI-compatible REST endpoints, first-party Python and Node.js SDKs, and dedicated and on-prem deployment options for enterprise customers. The company partners with OpenAI, AWS, GSK, Mayo Clinic, and Notion, and maintains an active open source presence including its model garden and inference cookbook on GitHub.
Cerebras publishes 3 APIs on the APIs.io network: Chat API, Completions API, and Models API. Tagged areas include AI Inference, Large Language Models, Wafer Scale, Hardware, and Cloud.
Cerebras’ developer surface includes authentication, documentation, pricing, engineering blog, status page, and 10 more developer resources.
Kin Score
APIs 4
Individual APIs this provider publishes, each with its own machine-readable definition.
Cerebras Inference API
The Cerebras Inference API exposes ultra-low-latency inference for open-weight large language models including Llama 3.1, Llama 4, Qwen, and other frontier open models. The API ...
Cerebras Chat API
OpenAI-compatible chat completions.
Cerebras Completions API
Text completions.
Cerebras Models API
Discover available models.
Open Collections 1
Open, tool-agnostic API collections (OpenAPI-derived and Bruno).
Cerebras Inference API
OPEN COLLECTIONPricing Plans 1
Published pricing tiers and plan structures.
Rate Limits 1
Documented rate limits and quota policies.
Cerebras Rate Limits
RATE LIMITSFinOps 1
Cost, billing, and metering signals for API financial operations.
Cerebras Finops
FINOPSSecurity Posture 3
Authentication, domain security, vulnerability disclosure, and trust-center signals.
Agentic Access 1
Recommended x-agentic-access execution contracts for AI agents.
Resources
Get Started 1
Portal, sign-up, and the first successful call
Documentation 1
Reference material describing how the API behaves
Agent Surfaces 2
MCP servers, agent skills, and machine-readable catalogs
Build 1
SDKs, sample code, and the tooling you integrate with
Access & Security 3
Authentication, authorization, and security posture
Operate 1
Status, limits, changes, and where to get help
Commercial 1
Pricing, plans, and the legal terms of use
Company 4
The organization behind the API
Other 1
Properties that don't map to a standard resource type