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Reka Edge

reka/reka-edge

Released Mar 20, 202616,384 context
$0.20/M input tokens$0.20/M output tokens

Reka Edge is an extremely efficient 7B multimodal vision-language model that accepts image/video+text inputs and generates text outputs. This model is optimized specifically to deliver industry-leading performance in image understanding, video analysis, object detection, and agentic tool-use.

Providers for Reka Edge

OpenRouter routes requests to the best providers that are able to handle your prompt size and parameters, with fallbacks to maximize uptime.

Performance for Reka Edge

Compare different providers across OpenRouter

Effective Pricing for Reka Edge

Actual cost per million tokens across providers over the past hour

Apps using Reka Edge

Top public apps this month

Recent activity on Reka Edge

Total usage per day on OpenRouter

Prompt
117K
Completion
44K
Reasoning
0

Prompt tokens measure input size. Reasoning tokens show internal thinking before a response. Completion tokens reflect total output length.

Uptime stats for Reka Edge

Uptime stats for Reka Edge across all providers

Sample code and API for Reka Edge

OpenRouter normalizes requests and responses across providers for you.

OpenRouter supports reasoning-enabled models that can show their step-by-step thinking process. Use the reasoning parameter in your request to enable reasoning, and access the reasoning_details array in the response to see the model's internal reasoning before the final answer. When continuing a conversation, preserve the complete reasoning_details when passing messages back to the model so it can continue reasoning from where it left off. Learn more about reasoning tokens.

In the examples below, the OpenRouter-specific headers are optional. Setting them allows your app to appear on the OpenRouter leaderboards.

Using third-party SDKs

For information about using third-party SDKs and frameworks with OpenRouter, please see our frameworks documentation.

See the Request docs for all possible fields, and Parameters for explanations of specific sampling parameters.