Cerebras
by Cerebras Systems, Inc.
World's fastest AI inference on wafer-scale chips
Cerebras Inference runs open-weight LLMs at industry-leading speeds on the wafer-scale WSE-3 processor, offering an OpenAI-compatible API with a generous free tier, per-token developer pricing, and on-premise CS-3 supercomputers.
At a Glance
- Category
- Inference
- Pricing
- Usage-based, Free tier, Subscription, Enterprise
- Target Market
- Enterprise, Developers, AI Labs
- Founded
- 2015
- Headquarters
- Sunnyvale, California, USA
Key Features
- ✓Wafer-Scale Engine (WSE-3)
The world's largest AI chip, fitting entire models on one device to eliminate multi-GPU overhead.
- ✓Cerebras Inference API
Instant-speed LLM inference (e.g., ~3,000 tokens/sec on GPT-OSS-120B), marketed up to 15-20x faster than GPU clouds.
- ✓OpenAI-compatible API and SDKs
Drop-in migration by swapping base URL and key; official Python and Node/TypeScript SDKs.
- ✓Cerebras Code
Subscription coding tiers with high rate limits and a VS Code extension.
- ✓CS-3 supercomputers
Clusterable on-premise systems for training and private/dedicated deployment.
- ✓Generous free tier
1 million tokens per day free, no credit card required.
Capabilities
Use Cases
- •Real-time voice and conversational agents
Sub-second responses enable near-instant voice assistants as a drop-in for realtime APIs.
- •Agentic and multi-step reasoning workflows
High throughput lets agents run more reasoning steps and tool calls within tight latency budgets.
- •High-speed code generation and IDE assistants
Fast refactoring, code completion, and multi-agent development via Cerebras Code.
- •Research and answer engines
Powers search/answer engines and scientific compute for customers like Perplexity and medical-research organizations.
Ideal For
Best For
- ✓Latency-critical real-time inference
- ✓Serving open-weight models at very high tokens/sec
- ✓OpenAI-compatible drop-in for faster inference
- ✓High-volume AI coding workflows
- ✓On-premise supercomputing for training and inference
Not Ideal For
- ✗Teams needing a broad, stable model catalog
- ✗Non-US latency or data-residency requirements
- ✗Embeddings, audio, or image-generation workloads
Integrations
Deployment
Pricing
Free
$0
- ✓1M tokens/day, no credit card
- ✓Rate-limited, resets daily
Developer (pay-as-you-go)
Usage-based per token
- ✓Add funds from $10
- ✓Per-token pricing (e.g., GPT-OSS-120B $0.35/$0.75 per 1M in/out)
- ✓10x higher rate limits than free
Cerebras Code Pro
$50/month
- ✓High rate limits for coding
- ✓VS Code extension
Cerebras Code Max
$200/month
- ✓Up to 1.5M tokens per minute
- ✓Highest coding limits
Enterprise
Custom
- ✓Dedicated/private endpoints
- ✓Priority routing
- ✓On-prem CS-3 systems
Per-token developer pricing published at cerebras.ai/pricing (verified ~June 2026): GPT-OSS-120B $0.35/$0.75, Gemma 4 31B $0.99/$1.49, GLM 4.7 $2.25/$2.75 per 1M input/output tokens. Free tier is 1M tokens/day. The public model catalog is small and changes frequently. Inference API is US-only as of 2026.
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