Reka AI
Multimodal frontier models from Reka
Overview
Reka is a multimodal frontier-model lab founded by ex-DeepMind, Meta and Google Brain researchers. The Reka Flash, Core and Edge model family handles text, image and video inputs natively. Consumer chat via the Reka playground; enterprise customers use the API.
Use cases
What you can produce with Reka AI
- Call Reka's Core, Flash or Edge models through an OpenAI-compatible API to analyse text, images and video in a single request.
- Send a complex question to the Reka Research API and get back a multi-step, web-searched answer as structured JSON, with the option to restrict which domains it may consult.
- Upload a video library to Reka Vision and search it in plain language, for example finding every clip where a specific product or action appears.
- Auto-generate highlight reels and clips from long footage, with object and action detection doing the scene selection.
- Ask multi-step visual questions about an image or video frame and get reasoned answers rather than simple labels.
- Deploy Reka Edge on hardware with limited compute, or run the full stack in a VPC or fully air-gapped on-premise environment.
- Prototype prompts against the models in Reka's interactive playground before committing to API integration.
ASEAN Perspective
Reka AI in Southeast Asia
ASEAN-region availability and pricing notes coming soon. Drop the editorial team a note via /contact/ if you can supply local context (Singapore/Malaysia/Indonesia/Thailand/Vietnam).
Reka AI is a research-led lab building natively multimodal models (Core, Flash, Edge, Spark) that handle text, image, audio and video, with Core approaching GPT-4V-class performance on several benchmarks. It offers an API and on-prem/private deployment, and the smaller Edge/Flash tiers are genuinely competitive for fast, cost-sensitive multimodal workloads.
It suits developers and enterprises that need video/audio understanding or deployable models outside the big-three providers. Caveats: it is a smaller player with a less mature ecosystem than OpenAI/Anthropic/Google, third-party benchmarks lag the frontier on pure text reasoning, and documentation/community depth is thinner. ASEAN access is via standard English API; no region-specific tuning, but private deployment helps data-residency needs.
What people say
Reka remains one of the more credible independent frontier-model labs, though its story has had turns. Widely reported acquisition talks with Snowflake in 2024 — at a rumoured price above 1 billion US dollars — broke down with no deal, and the company instead raised a 110 million dollar Series B in July 2025 with backers including Nvidia and Snowflake, at a valuation around 1 billion dollars. In 2026 Reka made an acquisition of its own, absorbing video-generation startup Moonvalley in an all-share deal to push into world models, physical AI and robotics. The company is very much alive, but its centre of gravity has shifted from consumer chat toward enterprise and developer products.
The current line-up is the Core, Flash and Edge model family — natively multimodal across text, image and video — plus two productised offerings: Reka Research, an agentic web-research API with structured JSON output and per-query pricing, and Reka Vision, a system for searching, tagging and clipping large video libraries in natural language. Developers who use the API generally note that it is OpenAI-compatible and easy to swap in, and that video understanding is the genuine differentiator, since few rivals handle video input natively at this price point.
Because Reka sells mostly to developers and enterprises, there is little of the G2-style review volume that consumer AI tools accumulate; sentiment comes mainly from developer channels, where the models are seen as strong for multimodal work but not the ones you pick for frontier text reasoning against the biggest labs. Reka fits teams that need multimodal — especially video — understanding via API, want on-premise or air-gapped deployment options, or want a research agent without building one. Casual users after a general-purpose chatbot will be better served by the mainstream assistants.
Summary of public user & expert reviews, compiled by RECATOOLS.
About this listing
This entry was compiled from publicly available data including Reka AI's official website, press releases, documentation, and reputable third-party publications. RECATOOLS is not affiliated with Reka AI unless explicitly stated.
Third-party AI tools update their pricing, features, availability, and policies frequently. Information here may be outdated by the time you read this — we make reasonable efforts to keep listings current, but cannot guarantee absolute accuracy.
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