Hy3
Tencent · open weight · hy3
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 data and RL, gathering feedback from 50+ products. Hy3 outperforms similar-size models and rivals flagship open-source models with 2-5x the parameters, with strong gains in reasoning, agentic, and long-context tasks. It uses 80 layers (plus 1 MTP layer), 64 GQA attention heads (8 KV heads, head dim 128), a 4096 hidden size, 192 experts with top-8 activated, a 256K context window, and BF16 precision. Hy3 is a hybrid-thinking model supporting configurable reasoning effort (no_think, low, high), and emphasizes production-grade tool-call and output-format stability, reduced hallucination, and reliable multi-turn intent tracking.
Benchmark scores
| Benchmark | Score |
|---|---|
| USAMO 2026 | 30.24 |
| DeepSearchQA | 0.91 |
| GPQA | 0.90 |
| IMO-AnswerBench | 0.90 |
| BrowseComp | 0.84 |
| MCP Atlas | 0.79 |
| SWE-Bench Verified | 0.78 |
| WideSearch | 0.76 |
| SWE-bench Multilingual | 0.76 |
| Terminal-Bench 2.1 | 0.72 |
Pricing
- DeepInfra$0.14 / $0.58
Input / output per 1M tokens
AA metrics
No Artificial Analysis link yet.
Arena Elo
- code1513
