Tencent: Hy-MT2-1.8B

Tencent: Hy-MT2-1.8B

tencent · Released Aug 20, 2026 NEW
Intelligence #522 / 715
26.8 our score
Speed
Not reported
Input Price #174 / 717
$0.044 per 1M tokens
Output Price #196 / 717
$0.177 per 1M tokens
Context #566 / 717
8,192 tokens

Analysis Summary

Tencent Hy-MT2-1.8B is a compact text-to-text model priced at $0.044 per million input tokens and $0.177 per million output tokens. Its 8K context window is adequate for short prompts, classifications, template filling, and basic rewriting.

The low price makes it a possible component for high-volume, low-risk automation, especially where outputs are constrained by schemas or predefined templates. The supplied information lists no vision, tool-use, or function-calling capability. There is also no benchmark data, so reasoning quality, coding ability, instruction adherence, and reliability cannot be established.

Use it only for simple background tasks with deterministic checks and fallback routing. It should not handle complex client content, autonomous actions, long-document work, or software development.

Assessed August 23, 2026

Editorial notes

Hy-MT2-1.8B is a very small, low-cost text model with an 8K context. It may handle tightly constrained routine tasks, but benchmark data and production workflow features are unavailable.

Rankings consider pricing, capabilities, benchmarks, and real-world applicability and are refreshed as new models launch. Feedback?

DFO Verdict

Hy-MT2-1.8B is a very small, low-cost text model with an 8K context. It may handle tightly constrained routine tasks, but benchmark data and production workflow features are unavailable.

#522 of 715 overall

How Tencent: Hy-MT2-1.8B compares

Its 8K-token context window is larger than 21% of the models we list. At $0.04 per million input tokens it is cheaper than 76% of comparable models.

Position in the field
Intelligence: smarter than 27% of models #522
Price: cheaper than 76% of models #174
Context: larger than 21% of models #566
worst in fieldmedianbest in field
Price vs frontier peers · $ per 1M tokens
Tencent: Hy-MT2-1.8B $0.04 in $0.18 out
Claude Opus 5 $5.00 in $25.00 out
OpenAI: GPT-5.6 Sol $2.00 in $10.00 out
SpaceXAI: Grok 4.6 $2.00 in $6.00 out

Dark bar = input · light bar = output, scaled to the priciest peer.

Context window vs peers · tokens
Tencent: Hy-MT2-1.8B 8K

1M tokens ≈ 8 full-length novels or ~2,500 pages of business documents in a single request.

Intelligence0Technical0Value7.5Content3.8
Performance profile

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 $0.04 $0.000044
Output $0.18 $0.000177

What would Tencent: Hy-MT2-1.8B cost your business?

Pick the job that looks most like yours, then fine-tune with the sliders. Estimates update live.

A website chatbot handling around 100 customer conversations a day, a few short messages each.

3,000
One request is one message, email, draft or automation call.
1,200 tokens

$0/mo Tencent: Hy-MT2-1.8B

Full calculator with 717 models → Price Calculator

DFO AI AUTOMATION

These numbers get smaller with the right architecture.

We route routine calls to cheap models and save Tencent: Hy-MT2-1.8B for the hard ones. Most clients cut their estimate by 60-80%.

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About Tencent: Hy-MT2-1.8B

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 style-guided..

Frequently asked questions about Tencent: Hy-MT2-1.8B

How much does Tencent: Hy-MT2-1.8B cost?

Tencent: Hy-MT2-1.8B costs $0.04 per million input tokens and $0.18 per million output tokens.

What is the context window of Tencent: Hy-MT2-1.8B?

Tencent: Hy-MT2-1.8B has a context window of 8,192 tokens (8K).

Who created Tencent: Hy-MT2-1.8B?

Tencent: Hy-MT2-1.8B is developed by Tencent and was released on August 20, 2026.

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