Hy3
Tencent · released Jul 6, 2026
Hy3 is a 295B-parameter Mixture-of-Experts model from Tencent (21B active, 192 experts with top-8 routing) built for reasoning, agentic workflows, and real-world production use. It supports a configurable reasoning effort:...
Specification
- Context window
- 262K
- Max output
- 128K
- Knowledge cutoff
- Not stated
- Parameters
- 298.8B
- Licence
- apache-2.0
- Serving providers
- 6
- Moderated
- No
- Uptime
- 99.9%
Intelligence
42.2
91th percentile
Coding
58.8
Coding Index
Agentic
31.4
Agentic Index
Output speed
78 t/s
Median across providers
Latency
434ms
Time to first token
Cost per task
$0.05
Estimated
Benchmarks
Where the score comes from
The Intelligence Index is a composite. These are the underlying evaluations this model was actually measured on.
Evaluation scores
Percentage correct · higher is better
- GPQA Diamond89.7%
- AA-LCR (long context)74.7%
- SciCode47.6%
- Humanity's Last Exam33.5%
- τ²-bench (Telecom)22.9%
An evaluation missing from this list was not run for this model — it is not a zero.
View as table
| Evaluation | Score |
|---|---|
| GPQA Diamond | 89.7% |
| AA-LCR (long context) | 74.7% |
| SciCode | 47.6% |
| Humanity's Last Exam | 33.5% |
| τ²-bench (Telecom) | 22.9% |
Against its peers
Intelligence Index · this model highlighted, nearest peers in grey
- GPT-5.2OpenAI43.3
- Kimi K2.7 CodeMoonshot AI43.0
- MiMo-V2.5-ProXiaomi42.9
- InklingThinking Machines42.3
- Hy3Tencent42.2
- Nex-N2-ProNex AGI41.7
- Inkling SmallThinking Machines41.2
- GPT-5.2-CodexOpenAI41.2
Peers are the models sitting closest on the Intelligence Index — the set you would realistically choose between.
View as table
| Model | Intelligence |
|---|---|
| GPT-5.2 | 43.3 |
| Kimi K2.7 Code | 43.0 |
| MiMo-V2.5-Pro | 42.9 |
| Inkling | 42.3 |
| Hy3 | 42.2 |
| Nex-N2-Pro | 41.7 |
| Inkling Small | 41.2 |
| GPT-5.2-Codex | 41.2 |
Percentile among all indexed models
Pricing
What it costs to run
List prices per million tokens, plus what one representative task works out to.
List price
- Input / 1M tokens
- $0.132
- Output / 1M tokens
- $0.528
- Cached input / 1M
- $0.033
- Blended 3:1
- $0.231
One task, estimated
$0.05
- Input tokens
- 50,000
- Output tokens
- 80,000
- Profile
- Reasoning
Estimated from list pricing: 50K input tokens plus 80K output tokens for reasoning models (25K for non-reasoning).
Arena
Head-to-head generation quality
Elo from pairwise judgements, broken out by the kind of thing the model was asked to build.
- Overall Elo
- 1,231
- Win rate
- 43.8%
- Strongest at
- 3D scenes
- Tournaments
- 754
Elo by category
Dot position on a 1,150–1,250 scale · Elo has no meaningful zero
- 1,231
- 1,205
- 1,198
- 1,179
- 1,154
Agent categories (full-stack apps, mobile apps) are only scored for models tested in agent harnesses.
View as table
| Category | Elo | Win rate |
|---|---|---|
| 3D scenes | 1231 | 43.8% |
| Websites | 1205 | 41.4% |
| UI components | 1198 | 40.2% |
| Game development | 1179 | 38.6% |
| Data visualisation | 1154 | 36.1% |