reka · Efficient
Reka Edge 2603
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.
| Reka Edge 2603rekaThis model | Reka Flash 3rekaRemove | |
|---|---|---|
| Provider | reka | reka |
| Discovery tier | Efficient | Open weights |
| Added | Oct 15, 2026 | Oct 15, 2026 |
| Limits | ||
| Context window | 16.38K | 65.54KBest |
| Max output | 16.38K | 65.54KBest |
| Average output | 30 tokens | 2.7K tokens |
| Pricing, USD per 1M tokens | ||
| Input | $0.11 | $0.11 |
| Output | $0.11Best | $0.21 |
| Performance | ||
| Request success (24h) | — | 100.0% |
| Benchmark indexes | ||
| Intelligence Index | — | 5.6 |
| Math Index | — | 33.7 |
| Capabilities | ||
| Reasoning | No | Yes |
| Tools | Yes | No |
| Vision | Yes | No |
| Structured output | Yes | Yes |
| Reasoning effort | — | — |
Public evaluations
Benchmarks
Independent evaluation results, with how each score ranks among the models in the Noumen catalog.
- Reka Edge 2603
- Reka Flash 3
Intelligence Index
- Reka Edge 2603—
- Reka Flash 35.6
Indexes
Math Index
Composite of the math evaluations
- Reka Edge 2603: —
- Reka Flash 3: 33.7
Document reasoning
AA-LCRv1.1
Reasoning across long documents
- Reka Edge 2603: —
- Reka Flash 3: 0.0%
Reasoning and knowledge
Humanity’s Last Exam
Expert-level questions across academic fields
- Reka Edge 2603: —
- Reka Flash 3: 4.4%
GPQA Diamond
Graduate-level science questions
- Reka Edge 2603: —
- Reka Flash 3: 52.9%
MMLU-Pro
Multi-subject knowledge and reasoning
- Reka Edge 2603: —
- Reka Flash 3: 66.9%
IFBench
Following precise output instructions
- Reka Edge 2603: —
- Reka Flash 3: 30.4%
Coding
LiveCodeBench
Recent competitive programming problems
- Reka Edge 2603: —
- Reka Flash 3: 43.5%
Math
AIME 2025
Competition mathematics, 2025 problems
- Reka Edge 2603: —
- Reka Flash 3: 33.7%
AIME
Competition mathematics
- Reka Edge 2603: —
- Reka Flash 3: 51.0%
MATH-500
Competition math problems
- Reka Edge 2603: —
- Reka Flash 3: 89.3%
Legacy evaluations
Terminal-Bench Hard
Earlier terminal task suite
- Reka Edge 2603: —
- Reka Flash 3: 0.0%
τ²-Bench Telecom
Tool use in a customer-support simulation
- Reka Edge 2603: —
- Reka Flash 3: 0.0%
AA-LCR (unversioned)
Long-context reasoning, earlier grading
- Reka Edge 2603: —
- Reka Flash 3: 0.0%
Scores from Artificial Analysis, updated Oct 26, 2026. Artificial Analysis
Developers
Use it through the API
Noumen’s API is OpenAI-compatible: any Chat Completions client works with a base URL and a key.
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)reka
Related models
Other reka models, starting with the same family.
- Open weights