Hy-MT2-30B-A3B is Tencent's flagship translation model in the Hy-MT2 family. It supports 33 language pairs and five Chinese dialect and minority-language pairs, with workflows for structured, delimiter-based, contextual, glossary-based, and...
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Among the 400 chat models on CoreAI, Tencent: Hy-MT2-30B-A3B ranks #389 by context window — 8K tokens, roughly 6,144 words or 12 pages of text in a single conversation. On price, it is the #38 cheapest of 125 budget-tier models by input cost. Released 2026-08-20, it is one of the 5 newest additions to the catalog.
Every model in this table is available on CoreAI — open the web app and run the same prompt through Tencent: Hy-MT2-30B-A3B and Tencent: Hy-MT2-7B side by side to judge with your own eyes.
A typical question (about 1,000 tokens in, 500 out) runs $0.00022 on Tencent: Hy-MT2-30B-A3B's raw per-token rates; a heavy session with a 50K-token document costs about $0.005. On CoreAI you don't juggle these numbers — one subscription covers Tencent: Hy-MT2-30B-A3B and 300+ other models under a plan usage limit, with no API keys. See plans.
Tencent: Hy-MT2-30B-A3B handles 8K tokens of context — roughly 6,144 words, or about 12 pages of text in one conversation.
Tencent: Hy-MT2-30B-A3B's underlying rates are $0.074 per 1M input tokens and $0.295 per 1M output tokens. On CoreAI it is included in one subscription alongside 300+ models, so there is no per-token billing to manage.
No — Tencent: Hy-MT2-30B-A3B is text-only. If you need image understanding, its budget-tier peers with vision are listed in the comparison table above.
No — Tencent: Hy-MT2-30B-A3B answers directly without an extended reasoning phase, which usually means faster responses.
Open the CoreAI web app or the iOS/Android app, pick Tencent: Hy-MT2-30B-A3B in the model selector, and chat — no API key, no per-token billing. One subscription covers Tencent: Hy-MT2-30B-A3B and 300+ other models.
The closest alternatives on CoreAI are Tencent: Hy-MT2-7B, Sao10K: Llama 3 8B Lunaris, IBM: Granite 4.0 Micro — similar tier and capability. The fastest way to choose is running one prompt through them side by side in CoreAI's Compare view.
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