Hy3 preview

Tencent Hy reasoning model for coding, instruction following, and agent tasks
- Context
- 262K
- Released
- 5mo ago
- Parameters
- —
- Input / 1M tokens
- $0.18
- Output / 1M tokens
- $0.60
- Cached input / 1M tokens
- $0.06
Sources:models.devOpenRouter
Benchmarks
DeepSWE is the primary coding benchmark where an exact model evaluation exists. Other sourced evaluations appear below; missing scores are not zero.
Not evaluated in DeepSWE 1.1 as of 2026-09-22. Results are only shown for exact model versions in the official dataset. Official leaderboard.
No benchmark results have been matched to this model yet.
Specifications
- Developer
- Tencent
- Model family
- Hunyuan
- Type
- Language model
- Predecessor
- —
- Successor
- —
- Released
- April 20, 2026
- Model ID
tencent/hy3-preview- Openness
- Open weights
- License
- —
- Parameters
- —
- Input modalities
- text
- Output modalities
- text
- Modality
- text->text
- Tokenizer
- Other
- Max output tokens
- 236K
- Hugging Face
- tencent/Hy3-preview
- Source freshness
- Metadata synced Oct 8, 2026, 10:17 PM UTC
Additional source evidence
- Source model
- tencent/hy3-preview
- Source family
- Hy
- Last updated
- 2026-04-20
- Model context
- 256K
- Model output limit
- 64K
- Open weights
- Yes
- File attachments
- No
- Reasoning
- Yes
- Tool calling
- Yes
- Temperature control
- Yes
Downloadable weights
Published benchmarks
| Benchmark | Score | Evaluation details | Evidence |
|---|---|---|---|
| SWE-Bench Verified | 74.4 · resolved | — | Source |
Complete source record (JSON)
{
"id": "tencent/hy3-preview",
"name": "Hy3 preview",
"description": "Tencent Hy reasoning model for coding, instruction following, and agent tasks",
"family": "Hy",
"last_updated": "2026-04-20",
"attachment": false,
"reasoning": true,
"tool_call": true,
"temperature": true,
"modalities": {
"input": [
"text"
],
"output": [
"text"
]
},
"limit": {
"context": 256000,
"output": 64000
},
"benchmarks": [
{
"name": "SWE-Bench Verified",
"score": 74.4,
"source": "https://huggingface.co/tencent/Hy3-preview",
"metric": "resolved"
}
],
"release_date": "2026-04-20",
"open_weights": true,
"weights": [
{
"label": "Hugging Face",
"url": "https://huggingface.co/tencent/Hy3-preview"
}
]
}Infrastructure
Provider availability
| Provider | Endpoint | Context | Input /M tokens | Output /M tokens | Cached input /M tokens | Cache write /M tokens | Uptime 1d | Data handling |
|---|---|---|---|---|---|---|---|---|
| gmicloud/bf16 | 262K | $0.18 | $0.60 | $0.06 | — | 100.00% | ZDR: NoTraining: Unknown Prompt logging: Unknown Retention: Unknown Checked 2026-10-15 |
Provider data:OpenRouter
Deployment graph
Can I run this?
Vertical Tabs only shows compatibility when it has structured evidence tying this exact model to hardware, runtime, quantization, memory use, and observed performance.