reka-edge-2603
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.
Params
7.1 B
Context
—
Downloads 30d
845
Likes
134
Download history
tracking started — chart appears after 7 days of snapshots (5 recorded)845 downloads in the last 30 days
Can you run it?
Estimated VRAM at 8K context unless noted. Pick your hardware to see the verdict per quantization.
| File | Quant | Size | Est. VRAM | Verdict on RTX 4090 · 24 GB |
|---|---|---|---|---|
| model.safetensors | bf16 | 14.3 GB | 17.3 GB | ✅ Runs comfortably |
Estimate: file size × 1.1 + KV cache at 8K + 0.5 GB overhead. Not a benchmark — how we calculate this.
Use via API
via OpenRouter · USD per 1M tokens · synced 2026-10-24$0.10
input / 1M
$0.10
output / 1M
—
cached input / 1M
$0.20
1M in + 1M out
- Context window
- 16,384 tokens
- Max output
- 14,745 tokens
- Providers
- 1
- Cheapest provider
- Reka · $0.10 / $0.10
- Best throughput
- —
- AA Intelligence / Coding / Agentic
- — / — / —
✓ Tool calling
✓ Reasoning
✓ Structured outputs
✓ Image input
✗ File input
✗ Audio input
✗ Prompt caching
Specifications
- Architecture
- Yasa2ForConditionalGeneration
- Parameters
- 7.1 B
- Tensor type
- BF16
- Licence
- other
- First seen on the Hub
- 2026-03-11
- Training datasets
- undisclosed
- Added to our catalog
- 2026-10-20
Compare with any image-text-to-text model