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Reka
rekaai/reka-edgeCatalogue: Indexed in the reference catalogue; nothing on this deployment answers as this model yet.
Published by the vendor; the platform bills at the target's declared price.
Reka rekaai/reka-edge
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,...
Reka Edge earns a request when it needs step-by-step reasoning, tool calls, image and video input; a short, general request would go to Nemotron 3.5 Super VL (free) instead - free per million input tokens against $0.10 here; and the hardest requests, where the quality floor rules it out, to Claude Opus 5.5 (batch). Your rules decide the floor; the trace shows the comparison for every request.
Lower input price and an intelligence index within 5 points (this model has no published index).
Nothing on this deployment answers as this model yet. Connect your own provider under Model providers, or add a target to your catalogue - the router picks it up without retraining.
# targets.yaml - declare a target that runs Reka Edge
targets:
- id: reka-edge
kind: llm
name: Reka Edge
metadata:
model: rekaai/reka-edge # links the target to this catalogue entry
capabilities:
domains: [general]
supports_tools: true
context_window: 16384
cost:
usd_per_1k_tokens: 0.000100Input list price per million tokens; Reka Edge is the cheapest of 2 listed.
Other models by the same vendor in the catalogue.
Photo: RDNE Stock project
A higher intelligence index, best first, with the price it comes at.
The catalogue prints input and output prices and what three typical monthly workloads cost on each.