Hy3 preview is a high-efficiency Mixture-of-Experts model from Tencent designed for agentic workflows and production use.
Context
262K
tokens
Input
$0.066
per 1M tokens
Output
$0.26
per 1M tokens
Downloads
63,435
Hy3 Preview (Reasoning) is amongst the leading models in intelligence and reasonably priced when comparing to other open weight models of similar size. It's also notably fast, however very verbose. The model supports text input, outputs text, and has a 256k tokens context window.
STEM & Reasoning
Complex reasoning underpins everything else. Hy3 preview performs well on challenging STEM benchmarks like FrontierScience-Olympiad and IMOAnswerBench, and achieved excellent results in the Tsinghua Qiuzhen College Math PhD qualifying exam (Spring '26) and the China High School Biology Olympiad (CHSBO 2025), demonstrating generalizable reasoning capacity.
Context Learning & Instruction Following
Real-world tasks require the ability to parse messy, lengthy contexts and follow complex rules. We built CL-bench and CL-bench-Life from our own business scenarios to innovatively measure context learning ability. Hy3 preview exhibits solid gains in both context learning and instruction following capabilities.
Code & Agent
Coding and agents saw the biggest gains. With a rebuilt RL infrastructure and larger-scale training tasks, we posted competitive scores across mainstream coding agent benchmarks (SWE-bench Verified, Terminal-Bench 2.0) and search agent benchmarks (BrowseComp, WideSearch).
| Input Bucket | Input Price (¥/1M tokens) | Output Price (¥/1M tokens) | Input Price – Cache Hit (¥/1M tokens) |
|---|---|---|---|
| 0 ~ 16K | ¥1.2 | ¥4 | ¥0.4 |
| 16 ~ 32K | ¥1.6 | ¥6.4 | ¥0.6 |
| 32 ~ 256K | ¥2 | ¥8 | ¥0.8 |
| Plan | Monthly Fee | Unit Price (¥/1M tokens) | Token Quota (1M tokens) |
|---|---|---|---|
| Lite | ¥28 | 0.80 | 35 |
| Standard | ¥78 | 0.78 | 100 |
| Pro | ¥238 | 0.74 | 320 |
| Max | ¥468 | 0.72 | 650 |
