Analysis Summary
Tencent Hy-MT2-7B is a compact text-to-text model priced for lightweight API workloads. Its 8K context window supports short prompts, basic classification, simple rewriting, and routine customer-response drafting, but it is not designed for large documents or multimodal tasks.
The main business use is high-volume automation where predictable, uncomplicated requests matter more than deep reasoning. It could handle template completion, metadata drafts, and simple support triage when paired with application-level validation. Published benchmark data is unavailable, leaving coding, reasoning, instruction following, and tool-use reliability unverified.
Adopt it only for narrow, cost-sensitive workflows with strong fallbacks and review rules. Higher-capability models are better suited to strategic content, complex analysis, and production coding.
Assessed August 23, 2026
Editorial notes
Hy-MT2-7B is a low-cost text model suited to short, routine generation, with an 8K context window. Published benchmark data is unavailable, so it is not a preferred choice for demanding client work.
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DFO Verdict
Hy-MT2-7B is a low-cost text model suited to short, routine generation, with an 8K context window. Published benchmark data is unavailable, so it is not a preferred choice for demanding client work.
How Tencent: Hy-MT2-7B compares
Its 8K-token context window is larger than 20% of the models we list. At $0.07 per million input tokens it is cheaper than 72% of comparable models.
Dark bar = input · light bar = output, scaled to the priciest peer.
1M tokens ≈ 8 full-length novels or ~2,500 pages of business documents in a single request.
Strongest on value. The pulled-in technical corner is the trade-off, and if the shape matters more than the price, this is your model.
Compare shapes side-by-side →Pricing
| Token Type | Cost per 1M tokens | Cost per 1K tokens |
|---|---|---|
| Input | $0.07 | $0.000074 |
| Output | $0.30 | $0.000295 |
What would Tencent: Hy-MT2-7B cost your business?
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A website chatbot handling around 100 customer conversations a day, a few short messages each.
Full calculator with 748 models → Price Calculator
These numbers get smaller with the right architecture.
We route routine calls to cheap models and save Tencent: Hy-MT2-7B for the hard ones. Most clients cut their estimate by 60-80%.
Talk to our teamAbout Tencent: Hy-MT2-7B
Hy-MT2-7B is a 7B-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 style-guided translation.
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Frequently asked questions about Tencent: Hy-MT2-7B
How much does Tencent: Hy-MT2-7B cost?
Tencent: Hy-MT2-7B costs $0.07 per million input tokens and $0.30 per million output tokens.
What is the context window of Tencent: Hy-MT2-7B?
Tencent: Hy-MT2-7B has a context window of 8,192 tokens (8K).
Who created Tencent: Hy-MT2-7B?
Tencent: Hy-MT2-7B is developed by Tencent and was released on August 19, 2026.
Data sourced from the OpenRouter API, Artificial Analysis, the Hugging Face Open LLM Leaderboard and our own internal testing. Scores are editorially curated by our team.
Last updated: September 3, 2026 8:38 pm