- SWE-bench Multilingual 75.8
- SWE-bench Verified 78
- SWE-bench Pro 57.9
- Terminal-Bench 2.1 71.7
- NL2repo 45.6
- DeepSWE 28
- Hy-Backend 2.0 (internal) 25
- Hy-SWE Max (internal) 49
- Hy-CompanyBench (internal) 41.7
- BrowseComp 84.2
- WideSearch 76.4
- DeepSearchQA 91
- MCP atlas (public) 79.1
- Toolathlon 48.5
- Apex-Agent (pass@1) 25.6
- ClawEval (pass^3) 68.5
- WildClawBench (35, text-only) 53.6
- SkillsBench (79, text-only) 55.3
- e-bench (internal) 50.2
- Hy-FinModelBench (internal) 69
- ProdBench (internal, Pass^3) 23
- Hy-SkillsWorld (internal) 45.8
- Best of HLE (with tools, text-only) 53.2 / HLE (no tools, text-only) 37.0 53.2
- Hy-Euler pro (with tools, internal) 24.2
- GPQA Diamond 90.4
- Mean of FrontierScience-Research 21.3 / FrontierScience-Olympiad 74.8 48.1
- USAMO 2026 72
- MathArena Apex 38.7
- ArxivMath 52.2
- HorizonMath (pass@12) 7.1
- Hy-Math (internal) 60.9
- PHYBench 77.4
- CMT-Benchmark 37.8
- IMOAnswerBench 90
- SuperChem 54.9
- CL-bench 23.8
- CL-bench life 17
- AA-LCR 73.4
Tencent Hy3
Tencent Hy3 ranks first on 2 of the 67 benchmarks with five or more models scored.
Tencent Hy3
Open weights Flagship
- AA-LCR (Artificial Analysis Long Context Reasoning) 73.4% #4 /38
- NL2Repo-Bench 45.6% #18 /30
- Toolathlon-Verified 56.8% #16 /25
Where it ranks
Its best score on each benchmark, and where that ranks among every model with a score there. We rank each model once, at its best setting.
Knowledge and language
| Benchmark | Score | Rank | Source | |
|---|---|---|---|---|
| AA-LCR (Artificial Analysis Long Context Reasoning) | 73.4% | #4 of 38 | Lab model card | |
| CL-bench | 23.8% | #1 of 6 | Lab model card | |
| LMArena (Elo) | 1,454 | #59 of 335 | Official leaderboard | |
| Humanity's Last Exam | 53.2% | #31 of 154 | Lab model card | |
| WideSearch | 76.4% | #5 of 19 | Lab model card | |
| StudyArena Text | 1,238 | #35 of 85 | Official leaderboard | |
| CL-bench Life | 17% | #1 of 2 | Lab model card | |
| DesignArena ASCII Art | 1,153 | #43 of 77 | Official leaderboard | |
| Continual Learning Exam | 27.3% | #8 of 11 | Official leaderboard | |
| Extended NYT Connections | 41.2% | #75 of 103 | Official leaderboard | |
| Hemingway-bench | 971 | #36 of 42 | Official leaderboard |
Math and science
| Benchmark | Score | Rank | Source | |
|---|---|---|---|---|
| GPQA Diamond | 90.4% | #32 of 302 | Lab model card | |
| IMO-AnswerBench | 90% | #4 of 37 | Lab model card | |
| PHYBench | 77.4% | #1 of 5 | Lab model card | |
| DTBench | 89.3% | #55 of 180 | Official leaderboard | |
| MathArena (Apex, IMO, USAMO) | 38.7% | #6 of 12 | Lab model card | |
| HorizonMath | 7.10% | #2 of 3 | Lab model card | |
| xbench-ScienceQA | 66.6% | #24 of 29 | Official leaderboard | |
| USAMO 2026 | 72% | #5 of 6 | Lab model card | |
| Prophet Arena | 84.5 | #24 of 24 | Official leaderboard | |
| PaperBenchX | 2.15% | #10 of 10 | Official leaderboard | |
| ArXivMath | 52.2% | #9 of 9 | Lab model card | |
| FrontierScience | 48.1% | #8 of 8 | Lab model card | |
| CMT-Benchmark | 37.8% | #2 of 2 | Lab model card | |
| Hy-Euler pro | 24.2% | #1 of 1 | Lab model card | |
| Hy-Math | 60.9% | #1 of 1 | Lab model card |
Coding
| Benchmark | Score | Rank | Source | |
|---|---|---|---|---|
| SWE-bench Verified | 78% | #28 of 155 | Lab model card | |
| StructEval | 76.9% | #8 of 28 | Official leaderboard | |
| DesignArena SVG | 1,194 | #40 of 103 | Official leaderboard | |
| DesignArena 3D Design | 1,212 | #55 of 136 | Official leaderboard | |
| SWE-bench Multilingual | 75.8% | #31 of 73 | Lab model card | |
| SWE-Bench Pro | 57.9% | #35 of 81 | Lab model card | |
| ALE-Bench | 1,516 | #55 of 126 | Official leaderboard | |
| DesignArena Game Dev | 1,198 | #67 of 143 | Official leaderboard | |
| Code Arena | 1,506 | #60 of 128 | Official leaderboard | |
| DesignArena Website | 1,222 | #71 of 151 | Official leaderboard | |
| DesignArena Code | 1,216 | #71 of 143 | Official leaderboard | |
| DesignArena UI Component | 1,195 | #73 of 139 | Official leaderboard | |
| NL2Repo-Bench | 45.6% | #18 of 30 | Lab model card | |
| Hy-SWE Max | 49% | #2 of 3 | Lab model card | |
| DesignArena Data Visualization | 1,163 | #84 of 118 | Official leaderboard | |
| Tencent WorkBuddy Bench | 70.9% | #13 of 14 | Official leaderboard | |
| DeepSWE | 28% | #55 of 56 | Lab model card | |
| Doc2Harness | 27.4% | #19 of 19 | Official leaderboard | |
| Hy-Backend 2.0 | 25% | #2 of 2 | Lab model card | |
| Hy-CompanyBench | 41.7% | #1 of 1 | Lab model card |
Agents and tools
| Benchmark | Score | Rank | Source | |
|---|---|---|---|---|
| Claw-Eval Pass^3 | 68.5% | #2 of 13 | Lab model card | |
| SkillsBench | 55.9% | #5 of 22 | Official leaderboard | |
| BrowseComp | 84.2% | #21 of 81 | Lab model card | |
| DeepSearchQA | 91% | #7 of 23 | Lab model card | |
| MCP Atlas | 79.1% | #16 of 46 | Lab model card | |
| WildClawBench | 49.7% | #13 of 31 | Official leaderboard | |
| Toolathlon | 48.5% | #15 of 29 | Lab model card | |
| Toolathlon-Verified | 56.8% | #16 of 25 | Official leaderboard | |
| Terminal-Bench 2.1 | 71.7% | #36 of 56 | Lab model card | |
| BabaIsBench | 54% | #26 of 32 | Official leaderboard | |
| Agent Arena | -7.56% | #46 of 56 | Official leaderboard | |
| TraceTrial-Bench | 71.4% | #8 of 9 | Official leaderboard | |
| Hy-SkillsWorld | 45.8% | #1 of 1 | Lab model card | |
| ProdBench (Tencent) | 23% | #1 of 1 | Lab model card |
Professional work
| Benchmark | Score | Rank | Source | |
|---|---|---|---|---|
| FoodTruck Bench | $28,055 | #23 of 59 | Official leaderboard | |
| CorpBench Work | 78.6 | #10 of 17 | Official leaderboard | |
| EnterpriseBench: CoreCraft | 41% | #34 of 51 | Official leaderboard | |
| DAYJOB: Healthcare | 1.20% | #27 of 37 | Official leaderboard | |
| DAYJOB: Finance | 0.50% | #32 of 39 | Official leaderboard | |
| APEX-Agents | 25.6% | #10 of 12 | Lab model card | |
| E-Bench-Code (Tencent) | 64.4% | #7 of 8 | Official leaderboard | |
| Tuesday Work Index | 30.2 | #39 of 44 | Official leaderboard | |
| YC-Bench | $124,880 | #54 of 59 | Official leaderboard | |
| $OneMillion-Bench | 13% | #13 of 13 | Official leaderboard | |
| OR-License | 45.2% | #11 of 11 | Official leaderboard | |
| E-Bench (Tencent) | 48.5% | #8 of 8 | Official leaderboard | |
| Hy-FinModelBench | 69% | #1 of 1 | Lab model card |
Safety and security
| Benchmark | Score | Rank | Source | |
|---|---|---|---|---|
| nocot-bench (NCRI) | 72.5 | #86 of 185 | Official leaderboard | |
| SUPERChem | 54.9% | #4 of 5 | Lab model card |
Other
| Benchmark | Score | Rank | Source | |
|---|---|---|---|---|
| Conceptual Reasoning Index | 52.2 | #62 of 151 | Official leaderboard | |
| ACCoRD | 66.4 | #66 of 152 | Official leaderboard | |
| LMCA | 37.5% | #69 of 147 | Official leaderboard |
Its lab's numbers put it at 152.0, number 84 of 404
The Self-Reported Index fits one score to the 21 capability results Tencent reported for this model, on the scale of the Epoch Capabilities Index. Labs choose which benchmarks to show and how to run them, so read it as the lab's claim, not an independent measurement. The 90% interval runs from 149.4 to 154.7. How we compute it.
- DeepSearchQA 91
- GPQA Diamond 90.4
- IMO-AnswerBench 90
- BrowseComp 84.2
- MCP Atlas 79.1
- SWE-bench Verified 78
- WideSearch 76.4
- SWE-bench Multilingual 75.8
- AA-LCR (Artificial Analysis Long Context Reasoning) 73.4
- Terminal-Bench 2.1 71.7
- Claw-Eval Pass^3 68.5
- SWE-Bench Pro 57.9
- SkillsBench 55.3
- Humanity's Last Exam 53.2
- ArXivMath 52.2
- Toolathlon 48.5
- FrontierScience 48.1
- NL2Repo-Bench 45.6
- MathArena (Apex, IMO, USAMO) 38.7
- DeepSWE 28
- APEX-Agents 25.6
Its lab's numbers next to 3 leaderboards
Where the benchmark's own leaderboard, or Epoch AI's run, also has this model. Gaps mostly come from different harnesses, effort levels and task subsets. Every pair.
| Benchmark | Lab says | Board says | Gap |
|---|---|---|---|
| WildClawBench | 53.6% WildClawBench (35, text-only) | 49.7% Leaderboard, OpenClaw | +3.9 pts |
| E-Bench (Tencent) | 50.2% e-bench (internal) | 48.5% Leaderboard, highest available reasoning | +1.7 pts |
| SkillsBench | 55.3% SkillsBench (79, text-only) | 55.9% Leaderboard, Claude Code | −0.6 pts |
Its launch post
The benchmarks the lab chose to headline, with the scores it gave.