Cerebras Inference
1,800+ tokens/sec inference on wafer-scale silicon.
Overview
An OpenAI-compatible inference API that runs open-weight models (Llama, Qwen, GPT-OSS) on Cerebras CS-3 wafer-scale chips at speeds no GPU cloud matches. For latency-bound and agentic apps.
Pricing
Pricing shown for reference only. These figures reflect RECATOOLS research as of 13 Jul 2026 and may be out of date or incomplete. This is not financial or purchasing advice — always confirm the current price on the provider’s official website before making any decision.
- ~1M free tokens/day on Llama 3.3 70B
- OpenAI-compatible API
- Community support
- $10 minimum top-up
- 10x higher rate limits
- Priority processing
- Llama 70B at $0.85/$1.20 per M
- Higher throughput guarantees
- Dedicated support
- Custom terms
What you can produce with Cerebras Inference
- 1,800+ tokens/sec on Llama 3.3 70B (CS-3 wafer-scale hardware)
- OpenAI-compatible REST API and Python/Node SDKs
- Hosts open-weight models: Llama family, Qwen, Mistral, GPT-OSS, DeepSeek distills
- Free tier ~1M tokens/day on Llama 3.3 70B
- Pay-per-token self-serve from a $10 minimum
- Available via AWS Marketplace
ASEAN Perspective
Cerebras Inference in Southeast Asia
ASEAN-region availability and pricing notes coming soon. Drop the editorial team a note via /contact/ if you can supply local context (Singapore/Malaysia/Indonesia/Thailand/Vietnam).
Speed is the whole pitch, and Cerebras delivers it: roughly 1,800 tokens/sec on Llama 3.3 70B and over 2,000 on smaller models, an order of magnitude past typical GPU inference. That changes what agentic loops and real-time chat feel like — tool calls chain without the usual dead air. The API mirrors OpenAI's, so swapping in is a base-URL change. The catch is the menu: you get the open models Cerebras chooses to host on its wafer-scale hardware, not custom weights or the full frontier lineup, and reviewers consistently ask for more model choice. Per-token prices ($0.85/$1.20 on Llama 70B) are reasonable but not the cheapest — you're paying for latency, not unit cost. Reach for it when inference speed is your bottleneck; skip it if you need a specific proprietary model or your own fine-tune.
What people say
On AWS Marketplace, developer feedback leans strongly positive, and it clusters around one thing: latency. Reviewers describe agents that "reason, call tools, and respond without delay," with multi-step tasks feeling continuous rather than fragmented. Phrases like "the lag is zero" and "token speed rates are unmatched" recur. Teams building coding agents call out the difference on latency-sensitive work, where a fast model keeps the whole loop responsive.
The benchmark numbers back the sentiment. Independent trackers put Cerebras at roughly 1,800 tokens/sec on Llama 3.3 70B and above 2,000 on Llama 4 Scout — figures cited as 10-20x faster than standard GPU serving and tens of times faster than closed models like GPT or Claude.
G2 reviews for the inference product are thinner and more mixed. Users there praise easy deployment, reliability, and low cost, but the common knock is a "lack of features" next to broader platforms. That maps to the most-requested improvement across sources: support more models, and let customers bring custom weights onto the chips. Right now the catalogue is Llama-family, Qwen, some Mistral, DeepSeek distills, and GPT-OSS.
Pricing is documented at $0.60-$3.90 per million tokens depending on model size — Llama 3.3 70B at $0.85 input / $1.20 output, GPT-OSS-120B at $0.35/$0.75. Several pricing trackers note Cerebras isn't the cheapest per token; DeepInfra and Novita undercut it. The value case rests on throughput, not unit economics.
The free tier draws praise for prototyping: about 1M free tokens/day on Llama 3.3 70B, enough to test before committing. Paid self-serve starts at $10 with 10x higher rate limits and priority processing. No reviewer flagged reliability or downtime as a problem — the recurring theme is that the speed is real and the model list is short.
Summary of public user & expert reviews, compiled by RECATOOLS.
About this listing
This entry was compiled from publicly available data including Cerebras Inference's official website, press releases, documentation, and reputable third-party publications. RECATOOLS is not affiliated with Cerebras Inference unless explicitly stated.
Third-party AI tools update their pricing, features, availability, and policies frequently. Information here may be outdated by the time you read this — we make reasonable efforts to keep listings current, but cannot guarantee absolute accuracy.
For the latest details, please refer to Cerebras Inference directly →
Spotted something out of date? Suggest an update →
Alternatives to Cerebras Inference
More in LLMs & Chat
