Hy3 preview

tencent/hy3-preview-20260421

The Tencent: Hy3 preview model processes text inputs and outputs. It has a context length of 262,144 tokens and supports tools and reasoning. It is an open-weight model priced at $0.18 per million input tokens and $0.60 per million output tokens.

  • tool use
  • reasoning
  • open-weight

At a glance

providertencent
releasedApr 20, 2026
context262K
input / M$0.18

Specifications

What the API gives you

Context window
262K tokens
Max output
236K tokens
Input price
$0.18 / 1M tokens
Output price
$0.60 / 1M tokens
Cache read
$0.060 / 1M tokens
Modalities
text → text
Knowledge cutoff
—
Released
Apr 20, 2026

Measured evidence

Public benchmark record

LMArena WebDev
1357 Elo2026-10-19

LMArena data licensed CC-BY-4.0. Aider (Apache-2.0) and SWE-bench (MIT) are open. Design Arena uses blind human preference.

Open-weight model on Hugging Face.

Task evidence

How broad is the support?

Each status is exact to this model version and the selected task. Official release claims remain provisional.

  • Best LLM for Code CompletionProvisional evidence

    36% of intended weighted task evidence across 1 independent source; broader independent confirmation is still missing from Aider Polyglot or LiveBench Coding. 3 of 3 configured evaluation feeds currently have results.

  • Best LLM for Frontend & UIProvisional evidence

    27% of intended weighted task evidence across 1 independent source; broader independent confirmation is still missing from Design Arena Coding or Design Arena UI. 6 of 6 configured evaluation feeds currently have results.

  • Best Local LLM for CodingProvisional evidence

    21% of intended weighted task evidence across 1 independent source; broader independent confirmation is still missing from Aider Polyglot or LiveBench Coding. 4 of 4 configured evaluation feeds currently have results.

  • Best LLM for CodingProvisional evidence

    20% of intended weighted task evidence across 1 independent source; broader independent confirmation is still missing from Aider Polyglot or Design Arena Coding. 7 of 7 configured evaluation feeds currently have results.

  • Best LLM for Debugging & Code ReviewProvisional evidence

    17% of intended weighted task evidence across 1 independent source; broader independent confirmation is still missing from Aider Polyglot or LiveBench Coding. 5 of 5 configured evaluation feeds currently have results.

Recommendation coverage

Where this model appears

Not currently included in a published recommendation. The task evidence panel above says exactly what is confirmed and what is still missing.

Catalog data via OpenRouter and models.dev. Last checked within the past 6 hours.