xingchen-agi · Open weights

Xing 4.0 29B A4B

Added Oct 24, 2026Open weights

China Telecom’s Xing 4.0 is an Apache 2.0 open-weight mixture-of-experts model with 29B total and 4B active parameters, designed for coding, reasoning and tool use. Supports text input, structured output and a shared 262,144-token input/output context. This route does not use a TEE.

Reasoning
Tools
Structured output
Parallel tools

Input: Text
Output: Text
Reasoning effort: none · minimal · low · medium · high · xhigh · max
Discovery tier: Open weights

Pricing

USD per 1M tokens

Input: $0.22
Output: $0.90
Cache read: $0.011

Reference prices as published by the model provider. API example

Specifications

Context window: 262.1K
Max output: 262.1K
Average output (7 days): 664 tokens; Longer than 59% of 473 models

Side by side

Compare models

Put Xing 4.0 29B A4B next to up to three other models. The comparison stays in the link, so you can share it.

TryMiniMax M3 DeepSeek V3.2 Qwen3.6 27B All 3

Public evaluations

Benchmarks

There are no public benchmark results for Xing 4.0 29B A4B yet.

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.

Prompt cache hits: 50.9%; About $0.11 per 1M input tokens with caching
Request success (24h): 41.0%; Failing

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 16.6%

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": "xingchen-agi/xing4.0-29b-a4b",
    "reasoning_effort": "medium",
    "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="xingchen-agi/xing4.0-29b-a4b",
    messages=[{"role": "user", "content": "Explain this stack trace."}],
)
print(reply.choices[0].message.content)