Reka is a multimodal foundation model company building natively multimodal large language models capable of joint reasoning over text, image, video, and audio. The Reka model family spans Spark (1B) for embedded use cases, Edge (7B), Flash (21B), and Core (67B) for complex enterprise tasks. Reka exposes its hosted models through the Reka API at api.reka.ai with OpenAI-compatible chat completions, and also ships products including the Reka Vision Platform for enterprise perception, Reka Speech for audio understanding, and Reka Clip for creators. The platform supports flexible deployment across cloud, VPC, on-premises, and fully air-gapped environments, and the company maintains an active open-source presence on Hugging Face and GitHub including the Reka VibeEval benchmark.
1 APIs0 Features
AIMultimodalLarge Language ModelsVisionSpeechFoundation ModelsOpenAI CompatibleSDKEnterpriseOn-Premises
Reka publishes 1 API on the APIs.io network. Tagged areas include AI, Multimodal, Large Language Models, Vision, and Speech.
Reka’s developer surface includes documentation, engineering blog, and 8 more developer resources.
The Reka API exposes chat-completion and multimodal endpoints for the Reka Core, Flash, Edge, and Spark models with image, video, and audio input support. The v1 surface at api....
aid: reka
name: Reka
description: >-
Reka is a multimodal foundation model company building natively multimodal
large language models capable of joint reasoning over text, image, video,
and audio. The Reka model family spans Spark (1B) for embedded use cases,
Edge (7B), Flash (21B), and Core (67B) for complex enterprise tasks. Reka
exposes its hosted models through the Reka API at api.reka.ai with
OpenAI-compatible chat completions, and also ships products including the
Reka Vision Platform for enterprise perception, Reka Speech for audio
understanding, and Reka Clip for creators. The platform supports flexible
deployment across cloud, VPC, on-premises, and fully air-gapped
environments, and the company maintains an active open-source presence on
Hugging Face and GitHub including the Reka VibeEval benchmark.
type: Index
position: Provider
access: 3rd-Party
image: https://kinlane-productions.s3.amazonaws.com/apis-json/apis-json-logo.jpg
tags:
- AI
- Multimodal
- Large Language Models
- Vision
- Speech
- Foundation Models
- OpenAI Compatible
- SDK
- Enterprise
- On-Premises
url: https://raw.githubusercontent.com/api-evangelist/reka/refs/heads/main/apis.yml
created: '2026-05-23'
modified: '2026-05-23'
specificationVersion: '0.20'
apis:
- aid: reka:reka-api
name: Reka API
description: >-
The Reka API exposes chat-completion and multimodal endpoints for the
Reka Core, Flash, Edge, and Spark models with image, video, and audio
input support. The v1 surface at api.reka.ai/v1 is OpenAI-compatible
and Reka Research is fully compatible with the OpenAI /chat/completions
schema. Reka offers a published OpenAPI definition and interactive
Swagger documentation along with first-party Python and TypeScript
SDKs, vLLM plugin, n8n nodes, and a .NET SDK.
humanURL: https://docs.reka.ai
baseURL: https://api.reka.ai/v1
tags:
- Multimodal
- LLM
- Chat Completions
- OpenAI Compatible
- Vision
- Video
- REST
properties:
- type: Documentation
url: https://docs.reka.ai
- type: GettingStarted
url: https://docs.reka.ai/quick-start
- type: OpenAPI
url: https://api.reka.ai/openapi.json
- type: Developer Portal
url: https://platform.reka.ai
- type: SDK
url: https://github.com/reka-ai/reka-sdk-python
- type: SDK
url: https://pypi.org/project/reka-api
- type: Benchmark
url: https://github.com/reka-ai/reka-vibe-eval
features:
- name: Multimodal Chat Completions
description: >-
Joint reasoning over text, image, video, and audio inputs in a
single chat-completion request.
- name: Tiered Model Catalog
description: >-
Core (67B), Flash (21B), Edge (7B), and Spark (1B) models for
different cost, latency, and capability points.
- name: OpenAI Compatibility
description: >-
Reka Research is fully compatible with the OpenAI
/chat/completions schema for drop-in client use.
- name: Vision Platform
description: >-
Enterprise vision platform for detection, captioning, and
video understanding workloads.
- name: Speech Understanding
description: >-
Reka Speech endpoint for audio comprehension and transcription
with multimodal reasoning.
- name: Flexible Deployment
description: >-
Cloud, VPC, on-premises, and air-gapped deployment options for
regulated and sovereign customers.
- name: First-Party SDKs
description: >-
Python, TypeScript, and .NET SDKs with examples, plus a vLLM
plugin for self-hosted Reka models.
useCases:
- name: Video Captioning and Search
description: >-
Generate captions, summaries, and chapter markers for long-form
video content.
- name: Security and Defense Perception
description: >-
Detection, classification, and event reasoning over surveillance
and operations video.
- name: Sports and Game Highlights
description: >-
Auto-generate highlight reels and performance analytics from
live and recorded footage.
- name: Enterprise Document Understanding
description: >-
Reason over multimodal documents combining text, tables, and
embedded imagery.
- name: On-Premises Sovereign AI
description: >-
Deploy Reka models inside customer VPC, on-prem, or air-gapped
environments for regulated workloads.
integrations:
- name: OpenAI SDK
- name: LangChain
- name: LlamaIndex
- name: Hugging Face
- name: vLLM
- name: n8n
- name: Vercel AI SDK
- name: Discord
authentication:
- type: API Key
description: >-
Authenticate with a REKA_API_KEY Bearer token issued from the
Reka Platform dashboard at platform.reka.ai.
common:
- type: Website
url: https://reka.ai
- type: Documentation
url: https://docs.reka.ai
- type: Developer Portal
url: https://platform.reka.ai
- type: OpenAPI
url: https://api.reka.ai/openapi.json
- type: GitHubOrganization
url: https://github.com/reka-ai
- type: HuggingFace
url: https://huggingface.co/RekaAI
- type: Discord
url: https://discord.gg/rekaai
- type: Blog
url: https://reka.ai/news
- type: LinkedIn
url: https://www.linkedin.com/company/reka-ai
- type: Twitter
url: https://twitter.com/RekaAILabs
maintainers:
- FN: Kin Lane
email: [email protected]