4 models across 3 families · Latest: Athene 70B (2024-07)
Open-source AI, complete data control.
Nexusflow's portfolio covers 4 active models across 3 non-obsolete families, with task labels spanning coding, classification, and json / tool use. Open a model detail page to compare provider routes and sourced benchmarks.
Portfolio context: 3 decision-task tags, 4 active tracked models, latest research stamp 2026-05-19.
Use this portfolio page for
- Teams evaluating coding, classification, and json / tool use across this lab's releases
- Readers comparing families before locking a flagship SKU
- 4 tracked SKUs for migration and pricing follow-ups
Do not stop here for
- Choosing a hosting provider without opening a model page for price ladders
Active models
4
Non-deprecated SKUs linked to this researcher
Active families
3
Non-obsolete families in coverage
Open catalog
0 OSS
0 open-weight (text match)
Decision task tags
3
Mapped to the site-wide task taxonomy
Latest dated release
2024-07-19
Athene 70B
Freshness
2026-05-19
Researched 16d ago
Release cadence
Showing 4 recent dated ships (full timeline below). Latest spotlight: Athene 70B (2024-07-19).
Where this lab wins
- Coding: 1 tracked model with SWE-bench / HumanEval-style scores.
- Classification: 2 tracked models with MMLU-class moderation/safety coverage.
- JSON/tool-use: 1 tracked model with BFCL / Nexus strict-JSON routing coverage.
Flagship quality / price signal
Anchor SKU: Starling LM 7B Beta (best sourced coding Q/$ in this portfolio).
Quality / dollar unavailable for this anchor — missing benchmark coverage and/or output token price on the cheapest ladder route (open the model detail after pricing lands).
Nexusflow is an American AI research organization founded in 2023. Open-source AI, complete data control. Nexusflow ships 3 model families totaling 4 models, with the most recent release Athene 70B in 2024-07. Notable families include Athene, Starling, and NexusRaven. Use it as a stable reference for lab background, release coverage, and follow-up model pages as they are added. Researchers and evaluators can. View official API endpoints, benchmark performance, and coding/agent fit for every Nexusflow model.
About
Nexusflow, established in 2023 in Palo Alto, California, is an innovative force in the realm of generative AI, with a particular focus on cybersecurity applications. The company’s mission is to democratize the use of generative AI agents in enterprise settings, providing solutions that are both impactful and responsive to customer-specific challenges 1. By leveraging open-source large language models (LLMs), Nexusflow aims to deliver a platform that is both cost-effective and robust, distinguishing itself from companies that rely solely on proprietary models. This approach empowers enterprises with greater control over data and security applications, aligning with broader industry movements towards transparency and user empowerment 2. At the heart of Nexusflow's technology lies NexusRaven-13B, a 13-billion parameter LLM that excels in function calling. This model can translate natural language instructions into executable code, a feature that enhances the capabilities of AI agents to interact with diverse software tools 9. Notably, NexusRaven-V2 has demonstrated higher accuracy rates than even OpenAI's GPT-4 on certain benchmarks, achieving up to 7% superior results. This success is attributed to their innovative data curation pipeline that effectively merges open datasets with Meta's Llama ecosystem, ensuring high-quality model training without the dependency on proprietary data sources 9. The leadership at Nexusflow comprises seasoned professionals including Jiantao Jiao (CEO and co-founder), Jian Zhang (CTO and co-founder), and Kurt Keutzer (Chief Strategy Officer and co-founder). They bring expertise from esteemed institutions such as UC Berkeley and Stanford, which has been instrumental in driving the company's technological advancements 1. The company has successfully raised $10.6 million in seed funding, led by Point72 Ventures, alongside participation from Fusion Fund and other investors. This investment is earmarked for further development of their platform, team expansion, and strengthening their market presence 2. Nexusflow’s commitment to open-source development, especially through projects like NexusRaven, highlights its dedication to broadening the scope and application of LLMs in enterprises. Their focus on cybersecurity, coupled with a strong emphasis on data ownership and control, positions them as a distinctive entity in the evolving AI landscape. The significant funding and technological milestones achieved by Nexusflow underscore its potential for ongoing impact and influence within the sector 2.
Featured models
| Model | Released | Context | Input price ($/1M) | Output price ($/1M) | License |
|---|---|---|---|---|---|
| Athene 70B | 2024-07-19 | 4k | - | - | CC-BY-NC-4.0 |
| Starling LM 7B Beta | 2024-02-05 | 8k | - | - | Unknown |
| NexusRaven-V2 13B | 2023-10-17 | 100k | $0.3 | $0.3 | Unknown |
Model families
Recent releases
- Athene 70B- 2024-07-19
- Starling LM 7B Beta- 2024-02-05
- NexusRaven-V2 13B- 2023-10-17
- NexusRaven 13B- 2023-10-17
FAQ
Who founded Nexusflow and when?
Nexusflow was founded in 2023 and is associated with Palo Alto, California, United States.
What models has Nexusflow released?
Nexusflow ships 4 models across 3 families: Athene, Starling, and NexusRaven.
Is Nexusflow's technology open source?
LLMReference does not yet have enough model license data to classify Nexusflow's releases.
Where is Nexusflow headquartered?
Nexusflow is headquartered in Palo Alto, California, United States.
What is Nexusflow known for?
Open-source AI, complete data control. Its most prominent tracked family is Athene.
How can I access Nexusflow's models?
Nexusflow's models are available via Together AI.
Explore related pages
Last reviewed: 2026-05-19. Data sourced from public lab announcements and provider documentation.