tencent · Open weights

Tencent Hy4 Preview

Added Aug 28, 2026Open weights

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

Compare models

Put Tencent Hy4 Preview next to up to three other models. The comparison stays in the link, so you can share it.

TryEVA-Qwen2.5-72B-v0.2 ReMM SLERP 13B LongCat 2.0 Thinking All 3

Public evaluations

Benchmarks

Independent evaluation results, with how each score ranks among the models in the Noumen catalog.

#15WebDev Overall1631.2
#15WebDev · Webdev1631.2
#13WebDev · Webdev-react1652.6

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: 205.6 tok/s; Faster than 83% of 254 models
Time to first token: 5.9 s; Quicker than 27% of 254 models
Prompt cache hits: 30.0%; About $0.60 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.

Hourly request success · last 72 hoursLowest hour 88.8%

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.

Read the quickstart

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)

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