tencent · Open weights
Tencent Hy4 Preview
Hy4 Preview is Tencent's 770B-parameter mixture-of-experts model with 49B active parameters. It is designed for coding agents, complex tool-use workflows, and productivity tasks, with a 1M-token context window and configurable reasoning effort.
- Reasoning
- Tools
- Structured output
- Input
- Text
- Output
- Text
- Reasoning effort
- none · low · high
- Discovery tier
- Open weights
Pricing
USD per 1M tokens- Input
- $0.83
- Output
- $2.50
- Cache read
- $0.042
Reference prices as published by the model provider. API example
Specifications
- Context window
- 1M
- Max output
- 64K
- Average output (7 days)
- 2K tokens
- Longer than 92% of 468 models
Side by side
Tencent Hy4 Preview compared
Specifications, prices, speed and benchmark scores next to each other. Benchmarks below show every compared model too.
| Tencent Hy4 PreviewtencentThis model | ReMM SLERP 13Bundi95Remove | |
|---|---|---|
| Provider | tencent | undi95 |
| Discovery tier | Open weights | Open weights |
| Added | Aug 28, 2026 | Jan 1, 2024 |
| Limits | ||
| Context window | 1.05MBest | 6.14K |
| Max output | 64KBest | 4.1K |
| Average output | 2K tokens | 62 tokens |
| Pricing, USD per 1M tokens | ||
| Input | $0.83 | $0.80Best |
| Output | $2.50 | $1.21Best |
| Cache read | $0.042 | — |
| Performance | ||
| Throughput | 40.8 tok/s | — |
| Time to first token | 4.3 s | — |
| Request success (24h) | 99.8% | — |
| Capabilities | ||
| Reasoning | Yes | No |
| Tools | Yes | No |
| Structured output | Yes | No |
| PDF input | No | Yes |
| Reasoning effort | none, low, high | — |
Public evaluations
Benchmarks
Independent evaluation results, with how each score ranks among the models in the Noumen catalog.
- Tencent Hy4 Preview
- ReMM SLERP 13B
| Leaderboard | Tencent Hy4 Preview | ReMM SLERP 13B |
|---|---|---|
| WebDev Overall | #15 · 1631.2 | Not in top 20 |
| WebDev · Webdev | #15 · 1631.2 | Not in top 20 |
| WebDev · Webdev-react | #13 · 1652.6 | Not in top 20 |
Ranks among Noumen catalog models on LMArena leaderboards. Only top-20 placements are listed.LMArena
Live routing data
Performance and reliability
Recent averages across requests routed for this model. Your own speed depends on prompt length, reasoning effort and load.
- Throughput
- 40.8 tok/s
- Faster than 30% of 259 models
- Time to first token
- 4.3 s
- Quicker than 40% of 259 models
- Prompt cache hits
- 35.1%
- About $0.56 per 1M input tokens with caching
- Request success (24h)
- 99.8%
- Reliable
Cache hits are the share of input tokens recently served from a prompt cache across all requests. They are not a forecast of your own hit rate.
- Healthy (98% or more)
- Degraded (90–98%)
- Down (under 90%)
- No requests
Developers
Use it through the API
Noumen’s API is OpenAI-compatible: any Chat Completions client works with a base URL and a key.
curl https://www.noumen.xyz/api/v1/chat/completions \
-H "Authorization: Bearer $NOUMEN_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"model": "tencent/hy4-preview",
"reasoning_effort": "none",
"messages": [{ "role": "user", "content": "Explain this stack trace." }]
}'import os
from openai import OpenAI
client = OpenAI(base_url="https://www.noumen.xyz/api/v1", api_key=os.environ["NOUMEN_API_KEY"])
reply = client.chat.completions.create(
model="tencent/hy4-preview",
messages=[{"role": "user", "content": "Explain this stack trace."}],
)
print(reply.choices[0].message.content)tencent
Related models
Other tencent models, starting with the same family.
- EfficientCompare