rekaai

Reka Edge

Reka Edge is a multimodal model from Reka AI that accepts text, images, and video as input, with a 16,384-token context window and matching output limit. It supports tool use, which makes it usable in agentic workflows, but it does not offer native reasoning mode and structured output support is unconfirmed. The pricing is flat and symmetric at $0.10 per million tokens for both input and output. That price point is among the lower tiers available for multimodal models, which gives it surface appeal for cost-sensitive applications involving image or video inputs. The main caveat is that Reka Edge carries no independent benchmark coverage, so there is no published performance data to validate quality claims against competitors. Buyers willing to run their own evaluations may find the low cost worth testing, but anyone relying on third-party benchmarks to shortlist models will need to wait for that coverage to appear.

Quality Score
81/100
price + capability + benchmarks
Input Price
$0.10
per 1M tokens
Output Price
$0.10
per 1M tokens
Context Window
16,384
tokens
Model ID
rekaai/reka-edge
Vendor
rekaai
Released
March 2026
Tokenizer
Other
Input Modalities
image, text, video
Output Modalities
text
Max Output
16,384 tokens
Tool Calling
✓ supported
Structured Output
✓ supported
Reasoning Mode
not supported
Vision
✓ accepts images
Audio
no
Moderated
no

What it costs in practice

Computed from the current $0.10/M input and $0.10/M output rates. Run your own numbers →

JobTokensCost
Summarize a 50-page report 30k in / 1.5k out under $0.01
Classify 1,000 customer emails 500k in / 50k out $0.06
A month of a busy support chatbot 5M in / 2M out $0.70

Similar models

Quick answers

How much does Reka Edge cost?
$0.10 per million input tokens and $0.10 per million output tokens.
What is Reka Edge's context window?
16,384 tokens, roughly 24 pages of text in a single request.
Does Reka Edge support tool calling?
It supports tool calling, structured output.
Can Reka Edge process images?
Yes, it accepts image input.