4 models across 1 family · Latest: Llama 3 8B Gradient 1048K (2024-04)
Vast data enables precise predictions
Gradient's portfolio covers 4 active models across 1 non-obsolete family, with task labels spanning long context. Open a model detail page to compare provider routes and sourced benchmarks.
Portfolio context: 1 decision-task tag, 4 active tracked models, latest research stamp 2026-05-19.
Use this portfolio page for
- Teams evaluating long context 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
1
Non-obsolete families in coverage
Open catalog
0 OSS
0 open-weight (text match)
Decision task tags
1
Mapped to the site-wide task taxonomy
Latest dated release
2024-04-18
Llama 3 8B Gradient 1048K
Freshness
2026-05-19
Researched 16d ago
Release cadence
Showing 4 recent dated ships (full timeline below). Latest spotlight: Llama 3 8B Gradient 1048K (2024-04-18).
Where this lab wins
- Long-context: 4 tracked models with context-token or InfiniteBench-class signal.
Flagship quality / price signal
Anchor SKU: Llama 3 8B Gradient 1048K (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).
Gradient is an American AI research organization founded in 2022. Vast data enables precise predictions. Gradient ships 1 model family totaling 4 models, with the most recent release Llama 3 8B Gradient 1048K in 2024-04. Notable families include Gradient Llama 3. 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 Gradient model.
About
Gradient AI, founded in 2022, is at the forefront of innovating within the realm of generative AI and large language models (LLMs). Based in Burlingame, California, this cutting-edge research company is redefining enterprise data interaction by leveraging advanced AI technologies to automate traditionally complex workflows. Their specialty lies in creating AI solutions that make processes previously thought impossible with conventional tools not only feasible but efficient and intelligent. A standout feature of Gradient AI is its AI-powered Data Reasoning Platform, a breakthrough that allows businesses to deploy powerful AI capabilities without the need for extensive setup. This platform optimizes operational efficiencies across sectors such as insurance, healthcare, and finance by improving the processing and analysis of vast swathes of unstructured data using generative AI. This approach not only enhances data workflow streamlining but also empowers organizations to derive clearer, actionable insights, leading to better-informed business decisions. Gradient AI's leadership is composed of seasoned experts with deep-rooted expertise in AI and technology, further cemented by the founding team’s previous influential roles in successful tech startups. Their extensive experience in AI solution development positions Gradient AI as a formidable entity in the generative AI domain. Their unfaltering commitment to research and development is reflected in their focus on creating robust AI models, adaptable to diverse business requirements, ensuring relevancy and effectiveness in a swiftly evolving market. The company's achievements, notably its successful $56 million Series C funding, underscore its prowess and the investor confidence in its potential to spearhead the generative AI space. This financial boost is earmarked for broadening product offerings and enhancing customer success initiatives. Gradient AI's strategic partnerships and industry collaborations further consolidate its status within the sector, providing a foundation for its transformative vision in AI utilization. Gradient AI's research touches various facets of generative AI and LLMs, particularly in enhancing underwriting, claims management, and risk assessment within the insurance industry. Their solutions are tailored to the specific needs of group health insurers, property and casualty insurers, and workers' compensation providers. By analyzing extensive data sets of policies and claims, Gradient AI significantly improves decision-making accuracy, contributing to enhanced loss ratios and profitability for its clients. What sets Gradient AI apart is its commitment to integrating generative AI with traditional AI methodologies, crafting a more comprehensive and nuanced understanding of data. This dual focus not only optimizes enterprise operations but also addresses common AI adoption concerns by prioritizing explainability in AI models. These models allow users to trust the insights provided, with a clear understanding of decision-making processes. Gradient AI is strategically positioned as an industry leader, driving innovation and practical application within generative AI. Their unique platform, robust research focus, and strategic foresight are poised to revolutionize business uses of AI, making Gradient AI a significant player in the future landscape of artificial intelligence advancements.
Featured models
| Model | Released | Context | Input price ($/1M) | Output price ($/1M) | License |
|---|---|---|---|---|---|
| Llama 3 8B Gradient 1048K | 2024-04-18 | 1.05m | - | - | Unknown |
| Llama 3 70B Gradient 1048K | 2024-04-18 | 1.05m | - | - | Unknown |
| Llama 3.1 8B Gradient 1048K | 2024-04-18 | 1.05m | - | - | Unknown |
Model families
Recent releases
- Llama 3 8B Gradient 1048K- 2024-04-18
- Llama 3 70B Gradient 1048K- 2024-04-18
- Llama 3.1 8B Gradient 1048K- 2024-04-18
- Llama 3 8B Gradient 262K- 2024-04-18
FAQ
Who founded Gradient and when?
Gradient was founded in 2022 and is associated with Burlingame, California, United States.
What models has Gradient released?
Gradient ships 4 models across 1 family: Gradient Llama 3.
Is Gradient's technology open source?
LLMReference does not yet have enough model license data to classify Gradient's releases.
Where is Gradient headquartered?
Gradient is headquartered in Burlingame, California, United States.
What is Gradient known for?
Vast data enables precise predictions. Its most prominent tracked family is Gradient Llama 3.
How can I access Gradient's models?
Gradient's models are available via Microsoft Foundry.
Explore related pages
Last reviewed: 2026-05-19. Data sourced from public lab announcements and provider documentation.