TencentReleased on Jul 6, 2026

Hy3: Benchmarks, Pricing & Size

Hy3 is a language model from Tencent, released in July 2026.

Hy3 is a 295B-parameter Mixture-of-Experts (MoE) model with 21B active parameters and a 3.8B MTP layer, developed by the Tencent Hy Team. Following the Hy3 Preview launch in late April, the team scaled up post-training with higher-quality

Hy3 model size

Hy3 has 295 billion parameters. See how it compares to other models in the same parameter range.

Parameters
295BMoE
Frontier (200B+)
295B
1B7B70B405B

Hy3 API

API access coming soon

Hy3 will be available through our gateway shortly.

Hy3 latency

7-day operational metrics from live API traffic.

Hy3 examples

Recent arena outputs from Hy3, picked from the highest-ranked matchups.

Hy3 license

Hy3 is released under the Apache 2.0 license, which permits commercial use, has 295.0B parameters.

License
Apache 2.0
Commercial use allowed
Parameters
295.0B

Apache License 2.0 - allows commercial use

Hy3 vs other models

The most-compared alternatives to Hy3 are GLM-5.1, Claude Opus 4.6, Gemini 3 Flash. Open any pair side-by-side for benchmarks, pricing, context, and latency.

Models like Hy3

Models ranked just above and below Hy3 by LLM Stats score.

 

GLM-5.1

Score pending
 

Claude Opus 4.6

Score pending
 

Gemini 3 Flash

Score pending
 

MiMo-V2.5-Pro

Score pending
 

Claude Opus 4.8

Score pending
 

MiMo-V2-Pro

Score pending

FAQ

Common questions about Hy3.

When was Hy3 released?

Hy3 was released on July 6, 2026 by Tencent. This is the official Hy3 release date tracked on LLM Stats.

How big is Hy3?

Hy3 has 295 billion parameters. It ships as an open-weight model, so you can download and run it on your own hardware.

Who created Hy3?

Hy3 was created by Tencent.

What is the license for Hy3?

Hy3 is released under the Apache 2.0 license. This is an open-source / open-weight license that permits self-hosting.

Where is the Hy3 paper or technical report?

Hy3 has a paper or technical report available at https://hy.tencent.com/research/hy3. Use that source for architecture, training, release and evaluation details.

What models should I compare Hy3 against?

Common Hy3 comparisons include Hy3 vs GLM-5.1, Hy3 vs Claude Opus 4.6, Hy3 vs Gemini 3 Flash. Compare them side by side for benchmark scores, pricing, context window, latency and API availability.