DeepSeek-V3 is the latest model from the DeepSeek team, building upon the instruction following and coding abilities of the previous versions. Pre-trained on nearly 15 trillion tokens, the reported evaluations reveal that the model outperfo…
Model details →DeepSeek Chat (legacy id) vs ReMM SLERP 13B
DeepSeek Chat (legacy id) wins on 3 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 | DeepSeek Chat (legacy id) | ReMM SLERP 13B | Winner |
|---|---|---|---|
| Context window Maximum number of input tokens the model can attend to in a single request. | 164K | 6K | 🏆 DeepSeek Chat (legacy id) |
| Input price (per 1M) Cost per million input tokens billed by the provider. | $0.32 | $0.45 | 🏆 DeepSeek Chat (legacy id) |
| Output price (per 1M) Cost per million output tokens billed by the provider. | $0.89 | $0.65 | 🏆 ReMM SLERP 13B |
| Tool / function calling First-class support for emitting structured tool calls. | Yes | — | 🏆 DeepSeek Chat (legacy id) |
| Vision input Accepts image inputs alongside text. | — | — | Tie |
| Reasoning mode Internal chain-of-thought / extended-thinking support. | — | — | Tie |
Frequently asked questions
Is DeepSeek Chat (legacy id) better than ReMM SLERP 13B?
DeepSeek Chat (legacy id) wins on 3 of 6 axes — pricing and capability skew in its favour for most workloads.
What's the price difference between DeepSeek Chat (legacy id) and ReMM SLERP 13B?
Input: $0.32 vs $0.45 per 1M tokens. Output: $0.89 vs $0.65 per 1M tokens.
What context windows do DeepSeek Chat (legacy id) and ReMM SLERP 13B support?
DeepSeek Chat (legacy id) supports up to 164K tokens. ReMM SLERP 13B supports up to 6K tokens.
Do both DeepSeek Chat (legacy id) and ReMM SLERP 13B support tool calling?
DeepSeek Chat (legacy id): yes. ReMM SLERP 13B: not advertised.