Tencent benchmarks.
A lab-level profile for Tencent, covering tracked models, category leaders, open/proprietary mix, speed, value, source coverage, and portfolio depth.
Lab rank
#11
By available Arena average
Models tracked
2
2 open-weight models
Portfolio coverage
22%
Average matched benchmark signals
Fastest model
Not listed
Lab profile
Portfolio shape, leaders, and model coverage.
The lab page now starts with the portfolio read, then drills into category leaders, value rankings, and model-level coverage rather than repeating source panels.
Portfolio read
Tencent has 2 tracked benchmark profiles.
The portfolio combines 0 proprietary models and 2 open-weight models. Its average available Arena rank is 50, with a best category rank of #18. Average profile coverage is 22%, so model-level gaps remain visible in the cards below.
Best Arena model
Hy4 Preview
Best category rank #18
Highest coverage
Hy3
33% matched signals
Fastest response
Not listed
No latency match
Category leaders
Best model by benchmark lens.
Each card shows the highest-ranked model from this lab in a composite benchmark suite, with the global rank and index left intact.
Value
Quality, price, latency, and speed
Hy3
value index
Coding
Code Arena, SWE-bench, and output speed
Hy4 Preview
coding index
Agents
Search, document, code, and latency
Hy4 Preview
agent proxy
Reasoning
Text, document, vision, and mode signals
Hy3
reasoning proxy
Context
Document, search, and text proxy
Hy3
context proxy
Tencent value ranking table
Models from this lab with both quality and commercial price matches.
Top 1 of 1
| Rank | Model | Index | Price | Latency | Speed | Quality | Sources |
|---|---|---|---|---|---|---|---|
| #72 | 50value index | $0.100blended / 1M tokens | Not listedtime to first token | Not listedoutput speed | 23quality signal | ArenaArtificial Analysis |
Model portfolio
Tencent model coverage map.
Every tracked model keeps its best Arena rank, coverage score, commercial metrics, and suite placement visible in one scannable grid.
