reka-edge
Reka Edge is an efficient 7B multimodal vision-language model that accepts image or video plus text input and generates text, optimized especially for image understanding.
Pricing: Input 20 credits / 1M tokens (≈ $0.10), Output 20 credits / 1M tokens (≈ $0.10).
Prices updated
How can I help you today?
This demo page does not include the full memory features of the client. For the complete experience, please use the client or the CLI.
Latest and popular AI models
Reka Edge API on ModelFold
Reka Edge is an efficient 7B multimodal vision-language model that accepts image or video plus text input and generates text, optimized especially for image understanding. Try Reka Edge in the ModelFold Playground, then call it from your own code through an OpenAI-compatible chat completions API.
What Is the Reka Edge API
Reka Edge at a glance
Reka Edge is a chat model from Reka AI. It accepts text, images and video as input and returns text, with a context window of up to 16K tokens.
Use it without hosting anything
On ModelFold you call Reka Edge with a single API key — no model weights to download and no inference servers to run. The same key also works for the other chat, image, video and audio models on ModelFold.
Core Capabilities of Reka Edge
Up to 16K tokens of context
Keep long conversations, large documents and sizeable code in a single request, so the model can reason over the full material instead of fragments.
Understands images and video
Besides text, Reka Edge accepts images and video as input, so a single request can combine instructions with visual or other media.
Function calling
Reka Edge supports tool (function) calling: describe your functions in the request and the model returns structured calls your code can run — the basis for agents and integrations.
Structured outputs
Ask for JSON that follows a schema (response_format), which makes extraction, classification and system integrations more reliable.
How to Use Reka Edge on ModelFold
- 1
Step 1: Try it in the Playground
Open the Playground at the top of this page, type a prompt and see how Reka Edge responds before writing any code.
- 2
Step 2: Create an API key
Sign in to ModelFold and create an API key in the console. Keep it secret and send it as a Bearer token.
- 3
Step 3: Send a request
Call POST https://modelfold.ai/v1/chat/completions with "model": "reka-edge" and your messages. Existing OpenAI-compatible SDKs work by changing the base URL and key.
- ✓
Step 4: Ship and monitor
Integrate the response into your product and check token usage and spend for every call in the console logs.
What You Can Build with Reka Edge
Screenshot and image understanding
Read screenshots, charts, diagrams and photos alongside text — for UI review, visual QA or turning images into structured data.
High-volume pipelines
Run classification, extraction, rewriting and batch jobs at scale where cost per request matters.
Low-latency experiences
Power chat interfaces, autocomplete and interactive tools where users expect fast responses.
Audio and video analysis
Summarize recordings, meetings and video clips, extract key points and answer questions about their content.
Frequently Asked Questions
What is Reka Edge?⌄
Reka Edge is an efficient 7B multimodal vision-language model that accepts image or video plus text input and generates text, optimized especially for image understanding.
Which inputs does Reka Edge support?⌄
Reka Edge accepts text, images and video and returns text. Through ModelFold you can send text and images (OpenAI-style image_url content); in the Playground you can also attach documents, which are converted to text.
How long is the context window of Reka Edge?⌄
Up to 16K tokens, shared between your input and the model’s output.
Does Reka Edge support function calling?⌄
Yes. Reka Edge supports tools / function calling through the standard tools parameter of the chat completions API.
How is Reka Edge billed on ModelFold?⌄
Pay as you go by tokens: input and output tokens are charged at the per-million-token prices shown on this page. There is no monthly fee, and failed requests are not charged.
How do I call Reka Edge through the API?⌄
Send a POST request to https://modelfold.ai/v1/chat/completions with "model": "reka-edge", using your ModelFold API key as the Bearer token.
| Input | 20 credits 1M tokens≈ $0.10 |
| Output | 20 credits 1M tokens≈ $0.10 |
Billed per token: input and output are priced separately, and thinking tokens count as output. The Playground charges exactly the same way.
Read API docs →AI Agents · Claude Code / Cursor / Trae →curl https://modelfold.ai/v1/chat/completions \
-H "Authorization: Bearer $MODELFOLD_API_KEY" \
-H "Content-Type: application/json" \
-d '{"model":"reka-edge","messages":[{"role":"user","content":"Hello"}]}'