Atlas / Models / Reka / Reka Edge

Reka Edge✓ Catalog verified

reka/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, video analysis, object detection, and agentic tool-use.

Input price
$0.10 /1M
Output price
$0.10 /1M
Context
16K
Modalities
imagetextvideo
Released
Mar 20, 2026
Tool calling
✓ Yes
Atlas signal
78/100
01

Overview

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.

Access: available through the official Reka API. Context window: 16K.

Pricing and metadata from the ModelsAtlas catalog.Last refreshed Aug 5, 2026
02

Specifications

API identifierreka/reka-edge
ProviderReka
Model typeMultimodal LLM
Context window16K catalog
Input modalitiesimage · text · video
Output modalitiestext
ReleasedMar 20, 2026
ModeratedNo
Architecture modalitytext+image+video->text
Supported parameters
frequency_penaltymax_tokenspresence_penaltyseedstopstructured_outputstemperaturetool_choicetoolstop_ktop_p
Source: provider documentation + catalog feedMethodology →

API defaults

Default parameters
{
  "top_k": null,
  "top_p": null,
  "temperature": null,
  "presence_penalty": null,
  "frequency_penalty": null,
  "repetition_penalty": null
}
03

Pricing

Live pricing components for reka/reka-edge as published in the catalog.

$0.10
Input /1M
$0.10
Output /1M
Per request
Per image
Pricing componentRaw unit priceNormalizedUnit
Prompt tokens$1e-7$0.10 / 1MPer input token
Completion tokens$1e-7$0.10 / 1MPer output token
Request feeN/AN/APer request
Image feeN/AN/APer image unit
Web search feeN/AN/APer search request
Source: catalog pricing feedCompare all pricing →Cheapest models →
04

Cost calculator

Estimate monthly spend from your own token volumes.

Scale / Volume

Estimated Total Cost

$0.07Calculated from current list pricing in the ModelsAtlas catalog.
05

Capabilities

CapabilityStatusWhat it means
Visual Understanding✓ SupportedImage and document analysis support
Audio ProcessingNot advertisedSpeech and voice aligned flows
Tool Calling✓ SupportedSupports tools / function calling
Self-HostingNot advertisedDeploy outside managed APIs
Derived from catalog capability tags and supported parameters
06

Capability signals

Directional signals derived from model metadata and capability tags — not official benchmark submissions.

Reka Edge
MMLU Signal (Reasoning)
74signal
Coding Signal (HumanEval proxy)
83signal
Math Signal (GSM8K proxy)
74signal
Science Signal (GPQA proxy)
82signal
Estimated from metadata — not an official benchmark runAll benchmarks →Methodology →
07

Quick start

Call Reka Edge through an OpenAI-compatible client.

from openai import OpenAI

client = OpenAI(
    base_url="https://openrouter.ai/api/v1",
    api_key="YOUR_API_KEY"
)

response = client.chat.completions.create(
    model="reka/reka-edge",
    messages=[{"role": "user", "content": "Explain quantum physics."}]
)

print(response.choices[0].message.content)
08

Alternatives

Closest models by context window from a different provider.

09

Sources & attribution

Pricing and metadata are maintained in the ModelsAtlas catalog.

Capability bars use metadata tags — directional estimates onlyHow we source and verify data →
10

Frequently asked questions

How much does Reka Edge cost?

$0.10 per 1M input tokens and $0.10 per 1M output tokens on the official Reka API.

What is the context window of Reka Edge?

Reka Edge supports up to 16K tokens of context.

Does Reka Edge support tool / function calling?

Yes, Reka Edge supports tool / function calling — you can register tools and the model will emit structured tool calls.

How do I access Reka Edge?

Use the official Reka API with the model id `reka/reka-edge`. See the Quick start section above for code examples.