Reka AI review
A multimodal API with video understanding, OpenAI-compatible calls, and usage pricing.
Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026
Reka AI provides hosted multimodal models and APIs for developers and organizations building applications that work with text, images, and video. Its gateway supports OpenAI-compatible chat completions, multi-turn conversations, streaming, tools, and structured outputs. Teams can access the APIs through web and direct API deployments, with Python and JavaScript listed among the supported SDK languages. The product suits small, mid-market, and enterprise organizations that need multimodal model access without operating their own serving infrastructure.
The published Reka Edge API plan uses usage-based billing at $0.10 per 1M input tokens and $0.10 per 1M output tokens. It includes a 16K-token context and accepts text, image, and video inputs. This structure avoids a fixed monthly commitment but makes spend depend on request volume and token usage. Reka Vision also provides a limited 3-hour free tier for video processing, while the overall API offering remains paid rather than an unlimited free service. Community support and documentation are the listed support channels.
Video is the clearest area of depth. Reka Vision supports video upload, organization, on-demand processing, semantic and text search across indexed videos, question answering, insights, video embeddings, object detection, automatic highlight-clip generation, and metadata tagging. Those capabilities can support applications that need to retrieve events or answer questions from recorded footage, not just generate text from a prompt. Choose Reka AI when multimodal inputs and video analysis are central requirements, especially if OpenAI-compatible integration helps your development workflow. Consider another provider if you need longer context windows, non-cloud deployment, or more varied pricing structures.
Reka AI pros and cons
- Where it wins
- OpenAI-compatible chat, streaming, tools, and structured outputs
- Accepts text, image, and video inputs with a 16K-token context
- Video search, question answering, embeddings, and highlight generation
- Where it doesn't
- Usage billing makes costs vary with token volume
- The 16K-token context can constrain very long prompts
- Cloud deployment requires workloads to run on Reka infrastructure
Reka AI fact sheet, pricing and score →
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