Hy4 preview

Tencent · · 53 days after Hy3

Verified

3 of 3 published values traced to a source2 primary sources, 2 archived

Why this status

Newly added. Sources are not archived and no value has been traced to one yet — run `npm run enrich`.

What these states mean · How records are judged · Has this record changed?

Tencent released and open-sourced Hy4 preview for coding, office work and scientific research: 770 billion total parameters, 49 billion active, and a context window Tencent describes as exceeding 1M tokens (1,048,576 in the published config). Available on WorkBuddy, CodeBuddy, Yuanbao and ima, and by API through Tencent Cloud TokenHub and OpenRouter.

codingagenticopen-weightslong-context

Details

ReleasedAugust 28, 2026
stated in huggingface.co

Hy4 preview was released on August 28, 2026.

CompanyTencent
FamilyHy
Lineageafter Hy3
EraAgentic systems
TypeLanguage model · LLM
ModalitiesNot recorded
CapabilitiesCoding, Agentic
WeightsOpen weights
LicenceApache-2.0
Context window1.05M tokens
stated in huggingface.co

Hy4 preview supports a context window of 1,048,576 tokens.

Parameters770B
stated in huggingface.co

Hy4 preview has 770,000,000,000 parameters.

Current information, elsewhere

This record is a historical one: every figure above is traced to a dated primary source. For what is true today — live pricing, current rankings, availability — these are better maintained than anything here could be.

Sources

Record status: verified · confidence 90/100 · 2 of 2 primary

Newly added. Sources are not archived and no value has been traced to one yet — run `npm run enrich`.

Primary means published by the organisation that made the model. Verified records require at least one.

Hy family

  1. Hy3 preview April 24, 2026
  2. Hy-MT2-1.8B May 21, 2026
  3. Hy-MT2-7B May 21, 2026
  4. Hy-MT2-30B-A3B May 21, 2026
  5. Hy3 July 6, 2026
  6. Hy4 preview August 28, 2026

What changed from Hy3

Compared with the previous release in this series. A field appears only when both records state a value — where one does not, it is listed as uncomparable rather than dropped, because a gap in our research is not a finding about the model.

Not comparable: Capabilities and modalities (not researched on both releases)

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