xingchen-agi · Open weights
Xing 4.0 29B A4B
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
Xing 4.0 29B A4B compared
Specifications, prices, speed and benchmark scores next to each other. Benchmarks below show every compared model too.
| Xing 4.0 29B A4Bxingchen-agiThis model | Qwen3.6 27BQwenRemove | |
|---|---|---|
| Provider | xingchen-agi | Qwen |
| Discovery tier | Open weights | Open weights |
| Added | Oct 24, 2026 | Apr 23, 2026 |
| Limits | ||
| Context window | 262.14K | 262.14K |
| Max output | 262.14KBest | 65.54K |
| Average output | 664 tokens | — |
| Pricing, USD per 1M tokens | ||
| Input | $0.22 | $0.20Best |
| Output | $0.90Best | $2.24 |
| Cache read | $0.011 | — |
| Performance | ||
| Request success (24h) | 40.6% | 100.0%Best |
| Capabilities | ||
| Reasoning | Yes | No |
| Tools | Yes | Yes |
| Vision | No | Yes |
| Structured output | Yes | No |
| Video input | No | Yes |
| Parallel tools | Yes | No |
| Reasoning effort | none, minimal, low, medium, high, xhigh, max | — |
Public evaluations
Benchmarks
There are no public benchmark results for these models 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
- 43.0%
- About $0.13 per 1M input tokens with caching
- Request success (24h)
- 40.9%
- 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.
- 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": "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)