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, vi…
Model details →Reka Edge vs ReMM SLERP 13B
Reka Edge wins on 5 of 6 axes — pricing and capability skew in its favour for most workloads.
A recreation trial of the original MythoMax-L2-B13 but with updated models. #merge
Model details →Side-by-side comparison
| Capability | Reka Edge | ReMM SLERP 13B | Winner |
|---|---|---|---|
| Context window Maximum number of input tokens the model can attend to in a single request. | 16K | 6K | 🏆 Reka Edge |
| Input price (per 1M) Cost per million input tokens billed by the provider. | $0.10 | $0.45 | 🏆 Reka Edge |
| Output price (per 1M) Cost per million output tokens billed by the provider. | $0.10 | $0.65 | 🏆 Reka Edge |
| Tool / function calling First-class support for emitting structured tool calls. | Yes | — | 🏆 Reka Edge |
| Vision input Accepts image inputs alongside text. | Yes | — | 🏆 Reka Edge |
| Reasoning mode Internal chain-of-thought / extended-thinking support. | — | — | Tie |
Frequently asked questions
Is Reka Edge better than ReMM SLERP 13B?
Reka Edge wins on 5 of 6 axes — pricing and capability skew in its favour for most workloads.
What's the price difference between Reka Edge and ReMM SLERP 13B?
Input: $0.10 vs $0.45 per 1M tokens. Output: $0.10 vs $0.65 per 1M tokens.
What context windows do Reka Edge and ReMM SLERP 13B support?
Reka Edge supports up to 16K tokens. ReMM SLERP 13B supports up to 6K tokens.
Do both Reka Edge and ReMM SLERP 13B support tool calling?
Reka Edge: yes. ReMM SLERP 13B: not advertised.