reka · Efficient

Reka Edge 2603

Added Oct 15, 2026

Use in the app

Reka's compact multimodal model for visual understanding and tool use, served directly by Reka.

Tools
Vision
Structured output

Input: Text, Images
Output: Text
Discovery tier: Efficient

Pricing

USD per 1M tokens

Input: $0.11
Output: $0.11

Reference prices as published by the model provider. API example

Specifications

Context window: 16.4K
Max output: 16.4K
Average output (7 days): 30 tokens; Longer than 1% of 468 models

Side by side

Reka Edge 2603 compared

Specifications, prices, speed and benchmark scores next to each other. Benchmarks below show every compared model too.

Limits
	Reka Edge 2603rekaThis model	Qwen Long 10MQwenRemove
Provider	reka	Qwen
Discovery tier	Efficient	Efficient
Added	Oct 15, 2026	Aug 1, 2024
Context window	16.38K	10MBest
Max output	16.38KBest	8.19K
Average output	30 tokens	—
Pricing, USD per 1M tokens
Input	$0.11	$0.10Best
Output	$0.11Best	$0.41
Capabilities
Tools	Yes	No
Vision	Yes	No
Structured output	Yes	No
PDF input	No	Yes
Reasoning effort	—	—

Public evaluations

Benchmarks

There are no public benchmark results for these models yet.

Developers

Use it through the API

Noumen’s API is OpenAI-compatible: any Chat Completions client works with a base URL and a key.

Read the quickstart

curl https://www.noumen.xyz/api/v1/chat/completions \
  -H "Authorization: Bearer $NOUMEN_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "reka/reka-edge-2603",
    "messages": [{ "role": "user", "content": "Explain this stack trace." }]
  }'

import os
from openai import OpenAI

client = OpenAI(base_url="https://www.noumen.xyz/api/v1", api_key=os.environ["NOUMEN_API_KEY"])
reply = client.chat.completions.create(
    model="reka/reka-edge-2603",
    messages=[{"role": "user", "content": "Explain this stack trace."}],
)
print(reply.choices[0].message.content)

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