Cerebras
9 models across 2 families · Latest: Cerebras LLaVA 13B (2024-08)
World's largest AI chip innovation
Cerebras's portfolio covers 9 active models across 2 current families, spanning coding and agents. Open a model detail page to compare provider routes and sourced benchmarks.
Covers 2 workload areas across 9 active tracked models; last verified 2026-06-15.
Use it for
- Teams evaluating coding and agents across this lab's releases
- Comparing model families before committing to a flagship
- Migration and pricing follow-ups across 9 tracked models
Do not use it for
- Choosing a hosting provider without opening a model page for price ladders
Active models
9
Current models from this lab, excluding deprecated ones
Active families
2
Current model families from this lab
Open catalog
9 open
9 open source / 0 open weights
Lowest output price
Not tracked
No provider output pricing linked yet
Latest dated release
2024-08-01
Cerebras LLaVA 13B
Freshness
2026-06-15
Researched 33d ago
Information
Release cadence
Showing 5 recent dated releases (full timeline below). Latest: Cerebras LLaVA 13B (2024-08-01).
Where this lab wins
- Coding: 1 tracked model with SWE-bench / HumanEval-style scores.
- Agentic: 1 tracked model with BFCL, tau-bench, and SWE-bench tool-use coverage.
Flagship quality / price signal
Flagship: Cerebras GPT 13B (best sourced coding quality-per-dollar in this portfolio).
Quality-per-dollar unavailable for this flagship — benchmark coverage or output token pricing is still missing.
Cerebras is an American AI research organization founded in 2016. World's largest AI chip innovation. Cerebras ships 2 model families totaling 9 models, with the most recent release Cerebras LLaVA 13B in 2024-08. Notable families include Cerebras LLaVA and Cerebras GPT. Use it as a stable reference for lab background, release coverage, and follow-up model pages as they are added. View official API endpoints, benchmark performance, and coding/agent fit for every Cerebras model.
About
Cerebras Systems is a forward-thinking leader in the AI domain, best known for its innovation in generative AI and the development of large language models (LLMs). Established in 2016 in Sunnyvale, California, the company was founded by a group of illustrious computer scientists and deep learning experts, who aimed to tackle one of the most challenging obstacles in the AI industry: the acceleration and efficiency of deep learning processes. Leveraging their past experiences, particularly from SeaMicro, the founding team brought groundbreaking ideas to the forefront of AI technology. At the heart of Cerebras' groundbreaking work is its pioneering wafer-scale engines (WSEs). These colossal chips transcend the capacity of traditional processors by incorporating compute, memory, and interconnect fabric on a single, expansive wafer. This distinct architecture is designed to significantly reduce data transfer and latency, offering unprecedented performance improvements in AI training and inference. The evolution of this technology from the WSE-2 to the WSE-3 signifies the company's relentless pursuit of excellence, culminating in systems such as the Cerebras CS-2 and CS-3, renowned for their remarkable speeds and capabilities. Cerebras' contributions to generative AI are substantial, highlighted by its collaboration with the Mayo Clinic and others in utilizing their powerful hardware to push the boundaries of AI applications in medical fields and other domains. The company's strategic release of seven open-source GPT-based large language models, trained on the highly advanced Andromeda AI supercluster, underscores its commitment and capacity to drive large-scale AI model training efficiently. This initiative not only illustrates Cerebras' proficiency in developing sophisticated AI models but also reflects its dedication to nurturing the AI community through open-source advancements. Navigating a competitive landscape dominated by tech giants like Nvidia, Cerebras has positioned itself as a formidable challenger. By capitalizing on the superior performance and cost-effectiveness of its wafer-scale technologies for large-scale AI applications, the company has secured a robust foothold within the AI chip market. Moreover, its notable revenue growth and strategic partnerships, especially with organizations such as G42, further extend its influence and credibility in the industry. Yet, like any ambitious venture, Cerebras is mindful of potential challenges, particularly its current financial reliance on key partners such as G42, as it looks towards its future growth and potential IPO efforts.
Featured models
| Model | Released | Context | Input price ($/1M) | Output price ($/1M) | License | Openness |
|---|---|---|---|---|---|---|
| Cerebras LLaVA 13B | 2024-08-01 | 4k | - | - | Apache 2.0 | Open source |
| Cerebras LLaVA 7B | 2024-08-01 | 4k | - | - | Apache 2.0 | Open source |
| Cerebras GPT 13B | 2023-03-13 | 2k | - | - | Apache 2.0 | Open source |
Model families
Recent releases
- Cerebras LLaVA 13B- 2024-08-01
- Cerebras LLaVA 7B- 2024-08-01
- Cerebras GPT 13B- 2023-03-13
- Cerebras GPT 7B- 2023-03-13
- Cerebras GPT 2.7B- 2023-03-13
FAQ
Who founded Cerebras and when?
Cerebras was founded in 2016 and is associated with Sunnyvale, California, United States.
What models has Cerebras released?
Cerebras ships 9 models across 2 families: Cerebras LLaVA and Cerebras GPT.
Is Cerebras's technology open source?
All tracked models are released under Open Source.
Where is Cerebras headquartered?
Cerebras is headquartered in Sunnyvale, California, United States.
What is Cerebras known for?
World's largest AI chip innovation. Its most prominent tracked family is Cerebras LLaVA.
How can I access Cerebras's models?
Cerebras's provider availability is tracked on model pages as API and hosting data is verified.
Explore related pages
Last reviewed: 2026-06-15. Data sourced from public lab announcements and provider documentation.