Zyphra
8 models across 3 families · Latest: ZAYA1-8B (2026-05)
Hybrid architecture boosts edge AI efficiency
Zyphra's portfolio covers 8 active models across 3 current families, spanning general LLM work. Open a model detail page to compare provider routes and sourced benchmarks.
Covers 0 workload areas across 8 active tracked models; last verified 2026-05-19.
Use it for
- Teams evaluating general LLM work across this lab's releases
- Comparing model families before committing to a flagship
- Migration and pricing follow-ups across 8 tracked models
Do not use it for
- Choosing a hosting provider without opening a model page for price ladders
Active models
8
Current models from this lab, excluding deprecated ones
Active families
3
Current model families from this lab
Open catalog
8 open
8 open source / 0 open weights
Lowest output price
Not tracked
No provider output pricing linked yet
Latest dated release
2026-05-06
ZAYA1-8B
Freshness
2026-05-19
Researched 60d ago
Information
Release cadence
Showing 5 recent dated releases (full timeline below). Latest: ZAYA1-8B (2026-05-06).
Where this lab wins
Not enough capability or benchmark coverage yet to call strengths for this lab.
Flagship quality / price signal
Flagship: Zamba 7B (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.
Zyphra is an American AI research organization founded in 2021. Hybrid architecture boosts edge AI efficiency. Zyphra ships 3 model families totaling 8 models, with the most recent release ZAYA1-8B in 2026-05. Notable families include ZAYA1, Zamba, and Zamba 2. Use it as a stable reference for lab background, release coverage, and follow-up model pages as they are added. Researchers and evaluators. View official API endpoints, benchmark performance, and coding/agent fit for every Zyphra model.
About
Zyphra, headquartered in Palo Alto, California, has established itself as an avant-garde entity in the artificial intelligence research landscape, particularly focusing on generative AI and large language models (LLMs). Since its inception in 2021, the company has been on a mission to push the boundaries of AI technology, leveraging cutting-edge neural network architectures. Zyphra's emphasis on SSM hybrids, which seamlessly integrate long-term memory and reinforcement learning, exemplifies their innovative strategy to enhance AI capabilities. Such a pioneering approach not only distinguishes Zyphra from its contemporaries but also aims to democratize AI technology, making it more accessible and versatile across a multitude of applications. A key project that underscores Zyphra's technical prowess is MaiaOS, a sophisticated multimodal agent system engineered to maximize inference efficiency for real-time intelligence tasks. This system signifies Zyphra's dual commitment to expanding AI potential and ensuring the practical deployment of these advanced technologies. It operates efficiently in both cloud and on-device settings, making it highly adaptable and user-friendly. The team's collective expertise, drawn from prestigious organizations like Google DeepMind, Anthropic, and Nvidia, equips Zyphra to tackle complex AI challenges. This diverse knowledge base supports the exploration of unconventional architectures, propelling AI performance to new heights. Moreover, Zyphra's release of the Zamba model, a 7-billion parameter foundation model, highlights their proficiency in developing efficient and powerful AI systems. Zamba's hybrid architecture merges Mamba blocks with a global shared attention layer, optimizing in-context learning and long-range dependency management. This approach delivers performance akin to larger models but with reduced reliance on extensive training data, underscoring Zyphra's commitment to model efficiency. Beyond its technological innovations, Zyphra champions open science and transparency, offering their models' training checkpoints and weights as open-source assets. This openness fosters collaboration within the AI community and drives further advancements in generative AI and LLMs. Zyphra's dedication to both theoretical and practical AI principles positions it as a formidable force in the AI sector, with significant implications for multiple industries and applications.
Featured models
Model families
Recent releases
- ZAYA1-8B- 2026-05-06
- Zamba 7B- 2024-11-21
- Zamba2 7B- 2024-06-06
- Zamba2 7B Instruct- 2024-06-06
- Zamba2 2.7B- 2024-06-06
FAQ
Who founded Zyphra and when?
Zyphra was founded in 2021 and is associated with Palo Alto, California, United States.
What models has Zyphra released?
Zyphra ships 8 models across 3 families: ZAYA1, Zamba, and Zamba 2.
Is Zyphra's technology open source?
All tracked Zyphra models are open-weight or open-source.
Where is Zyphra headquartered?
Zyphra is headquartered in Palo Alto, California, United States.
What is Zyphra known for?
Hybrid architecture boosts edge AI efficiency. Its most prominent tracked family is ZAYA1.
How can I access Zyphra's models?
Zyphra's provider availability is tracked on model pages as API and hosting data is verified.
Explore related pages
Last reviewed: 2026-05-19. Data sourced from public lab announcements and provider documentation.