Reka
5 models across 1 family · Latest: Reka Flash 3.1 (2025-07)
Developing customizable generative AI models for enterprises.
Reka's portfolio covers 5 active models across 1 current family, spanning rag, agents, and long context. Open a model detail page to compare provider routes and sourced benchmarks.
Covers 6 workload areas across 5 active tracked models; last verified 2026-07-11.
Use it for
- Teams evaluating rag, agents, and long context across this lab's releases
- Comparing model families before committing to a flagship
- Migration and pricing follow-ups across 5 tracked models
Do not use it for
- Choosing a hosting provider without opening a model page for price ladders
Active models
5
Current models from this lab, excluding deprecated ones
Active families
1
Current model families from this lab
Open catalog
2 open
2 open source / 0 open weights
Lowest output price
$0.100 /1M
Cheapest tracked output across active models, per 1M tokens
Latest dated release
2025-07-10
Reka Flash 3.1
Freshness
2026-07-11
Researched 13d ago
Information
Release cadence
Showing 5 recent dated releases (full timeline below). Latest: Reka Flash 3.1 (2025-07-10).
Where this lab wins
- RAG: 1 tracked model with ruler / needle retrieval benchmarks.
- Agentic: 2 tracked models with BFCL, tau-bench, and SWE-bench tool-use coverage.
- Long-context: 2 tracked models with context-token or InfiniteBench-class signal.
- Vision: 3 tracked models with multimodal benchmark coverage.
Flagship quality / price signal
Flagship: Reka Core (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.
Reka is an American AI company founded in 2023. Developing customizable generative AI models for enterprises. Reka ships 1 model family totaling 5 models, with the most recent release Reka Flash 3.1 in 2025-07. Notable families include Reka. Use it as a stable reference for lab background, release coverage, and follow-up model pages as they are added. Researchers and evaluators can scan. View official API endpoints, benchmark performance, and coding/agent fit for every Reka model.
About
Reka AI develops customizable generative AI models that cater to the specific needs of enterprises. Their multimodal language models, like Yasa-1, can process and understand text, images, videos, and audio, enabling a wide range of applications. For example, in the e-commerce industry, Reka AI's models can be used to generate product descriptions, moderate user-generated content, and provide personalized recommendations. In the media and entertainment sector, their AI can assist in content creation, such as generating scripts, storyboards, or even entire articles. Software engineers and SaaS executives can partner with Reka AI to develop tailored AI solutions that drive efficiency, creativity, and innovation within their organizations.
Featured models
| Model | Released | Context | Input price ($/1M) | Output price ($/1M) | License | Openness |
|---|---|---|---|---|---|---|
| Reka Flash 3.1 | 2025-07-10 | 98k | - | - | Apache 2.0 | Open source |
| Reka Flash 3 | 2025-03-10 | 33k | - | - | Apache 2.0 | Open source |
| Reka Core | 2024-04-15 | 128k | $2.00 | $6.00 | Proprietary | Proprietary |
Model families
Recent releases
- Reka Flash 3.1- 2025-07-10
- Reka Flash 3- 2025-03-10
- Reka Core- 2024-04-15
- Reka Flash- 2024-02-12
- Reka Edge- 2024-02-12
FAQ
Who founded Reka and when?
Reka was founded in 2023 and is associated with Palo Alto, California, United States.
What models has Reka released?
Reka ships 5 models across 1 family: Reka.
Is Reka's technology open source?
Reka's models are proprietary.
Where is Reka headquartered?
Reka is headquartered in Palo Alto, California, United States.
What is Reka known for?
Developing customizable generative AI models for enterprises. Its most prominent tracked family is Reka.
How can I access Reka's models?
Reka's models are available via Reka Platform and OpenRouter.
Explore related pages
Last reviewed: 2026-07-11. Data sourced from public lab announcements and provider documentation.