Cerebras logo

CerebrasVerified

cerebras.ai

MLOps & InfrastructureVerifiedVerified#188 Ranked

AI compute and inference platform on wafer-scale chips.

Quick Information

Category:
MLOps & Infrastructure
Pricing:
Freemium
Platforms:
API, Cloud
Free Plan:
Yes
API Available:
Yes
Last Verified:
October 2026

What Is Cerebras?

Cerebras is an AI compute and inference platform built on wafer-scale chips. Sources disagree on its pricing, so check the official page. The most recent rate card found, from a July 2026 usage-pricing summary, lists three public models: GPT-OSS-120B at $0.35 input and $0.75 output per million tokens, Gemma 4 31B in preview at $0.99 and $1.49, and GLM-4.7 at $2.25 and $2.75, the last scheduled for deprecation on August 17, 2026. A CostBench page, last verified in August 2026, gives a wider range of $0.10 to $1.20 per million tokens, with Llama 3.3 70B at $0.85 input and $1.20 output and Llama 3.1 8B at $0.10 each way. Plans include a $5-credit free trial, a $10 self-serve Developer tier and $50 and $200 monthly Cerebras Code plans, while Enterprise is custom-priced.

On the business side, Cerebras priced its IPO at $185 a share and raised $5.55 billion, with shares starting to trade on the Nasdaq Global Select Market under the ticker CBRS on May 14, 2026. Valuation figures differ: one source cites a fully diluted valuation of $56.4 billion and 2025 revenue of $510 million, another reports a roughly 68% first-day gain putting market capitalisation near $67 billion, and a third cites nearly $70 billion, or up to $86 billion fully diluted. The model lineup has changed in 2026, so a model you plan to use may be deprecated, and third-party aggregators disagree on rates.

Cerebras suits developers who want very fast inference for open models and agents. Compare SambaNova, Lambda and vLLM. Browse the MLOps & Infrastructure tools directory for more.

What Can You Use Cerebras For?

Fast LLM inference

Wafer-scale chips.

Coding assistants

Cerebras Code.

Cerebras Features

  • Per-million-token pricing — Input and output.
  • Nasdaq listed — CBRS since May 14, 2026.
  • Model deprecations — Lineup changes.

Who Is Cerebras For?

  • AI app developers — Speed.
  • Enterprises — Dedicated capacity.

Cerebras Pros & Limitations

What We Like

  • Very fast inference
  • Free trial and low-cost Developer tier
  • Public company

Limitations

  • Limited public model list
  • Prices vary by source
  • Deprecations can force migrations

Cerebras Pricing

PlanPriceMain Features
Free trial$5 creditPer sources
Developer (self-serve)$10Pay-as-you-go tokens
Per-token rates (July 2026)GPT-OSS-120B $0.35/$0.75; Gemma 4 31B $0.99/$1.49; GLM-4.7 $2.25/$2.75 per million tokensCostBench shows Llama models $0.10-$1.20
Cerebras Code$50 or $200/monthCoding plans
EnterpriseCustomDedicated capacity

Pricing was last verified October 2026. Check the official website for the latest pricing.

Check Current Pricing

AI Listing Jungle Ranking

Global Rank:
#188
Overall Score:
76.7/100
Monthly Users:
–
Rank Change:
▲ 1374

This ranking reflects AI Listing Jungle's own independent scoring methodology and is not an endorsement by Cerebras or its company. How Our Rankings Work

Frequently Asked Questions

How much does Cerebras inference cost?

From about $0.10 to $2.75 per million tokens depending on model.

Is there a free trial?

$5 of credits.

Is Cerebras public?

Yes, ticker CBRS since May 14, 2026.

What are the Code plans?

$50 and $200 a month.

Our Take

Cerebras delivers standout inference speed.

Check the current model list and rates.

Cerebras Alternatives

Amazon SageMaker logo

Amazon SageMaker

MLOps & Infrastructure
VerifiedVerified
Arize AI logo

Arize AI

MLOps & Infrastructure
VerifiedVerified
Axolotl logo

Axolotl

MLOps & Infrastructure
VerifiedVerified
Azure Machine Learning logo

Azure Machine Learning

MLOps & Infrastructure
VerifiedVerified

Ready to try Cerebras?

Visit the official website to get started.

Visit Official Website

AI Listing Jungle is an independent AI tools directory. Product names, logos, and trademarks belong to their respective owners.