How does Hy-MT2-30B-A3B rank among AI models?
Hy-MT2-30B-A3B holds ModelCap Index position #77 of 238 ranked language models as of 20 August 2026, with an Index score of 36.9 (interval 36.9–91.7); evidence: modeled · prior. The Index combines public benchmark boards with published uncertainty; the methodology page explains the weighting.
What is the context window of Hy-MT2-30B-A3B?
Hy-MT2-30B-A3B has a published context window of 8K tokens (8,192) and a maximum output of 4K tokens. Individual providers can serve less than the published maximum; the providers table lists each endpoint's own limit.
Is Hy-MT2-30B-A3B open-weight?
Open weights (apache-2.0). Downloadable weights are published under an OSI or free-culture license in the current repository metadata. This describes weight availability, not whether the full training stack qualifies as Open Source AI. The repository is tencent/Hy-MT2-30B-A3B on Hugging Face.
Which API providers serve Hy-MT2-30B-A3B?
One provider serves Hy-MT2-30B-A3B through OpenRouter as of 20 August 2026: Tencent. Each provider's price, context limit, quantization and measured uptime are in the providers table above.
How does Hy-MT2-30B-A3B compare with Nemotron 3 Super?
Hy-MT2-30B-A3B ranks #77 (Index 36.9) and Nemotron 3 Super ranks #78 (Index 36.1) on the ModelCap Index as of 20 August 2026. The head-to-head page lines up their benchmarks, listed prices, context windows and provider counts side by side.