Hy-MT2-1.8B is a compact 1.8B-parameter translation model from Tencent. It supports 33 language pairs and five Chinese dialect and minority-language pairs, with workflows for structured, delimiter-based, contextual, glossary-based, and styl…
Model details →Tencent: Hy-MT2-1.8B vs ReMM SLERP 13B
Tencent: Hy-MT2-1.8B 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 | Tencent: Hy-MT2-1.8B | ReMM SLERP 13B | Winner |
|---|---|---|---|
| Context window Maximum number of input tokens the model can attend to in a single request. | 8K | 6K | 🏆 Tencent: Hy-MT2-1.8B |
| Input price (per 1M) Cost per million input tokens billed by the provider. | $0.04 | $0.45 | 🏆 Tencent: Hy-MT2-1.8B |
| Output price (per 1M) Cost per million output tokens billed by the provider. | $0.18 | $0.65 | 🏆 Tencent: Hy-MT2-1.8B |
| Tool / function calling First-class support for emitting structured tool calls. | — | — | Tie |
| Vision input Accepts image inputs alongside text. | — | — | Tie |
| Reasoning mode Internal chain-of-thought / extended-thinking support. | — | — | Tie |
Frequently asked questions
Is Tencent: Hy-MT2-1.8B better than ReMM SLERP 13B?
Tencent: Hy-MT2-1.8B wins on 3 of 6 axes — pricing and capability skew in its favour for most workloads.
What's the price difference between Tencent: Hy-MT2-1.8B and ReMM SLERP 13B?
Input: $0.04 vs $0.45 per 1M tokens. Output: $0.18 vs $0.65 per 1M tokens.
What context windows do Tencent: Hy-MT2-1.8B and ReMM SLERP 13B support?
Tencent: Hy-MT2-1.8B supports up to 8K tokens. ReMM SLERP 13B supports up to 6K tokens.
Do both Tencent: Hy-MT2-1.8B and ReMM SLERP 13B support tool calling?
Tencent: Hy-MT2-1.8B: not advertised. ReMM SLERP 13B: not advertised.