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xingchen-agi · Open weights

Xing 4.0 29B A4B

Added Oct 24, 2026Open weights

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Use in the app

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.

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Xing 4.0 29B A4Bxingchen-agiThis modelDeepSeek V3.2DeepSeekRemove
Providerxingchen-agiDeepSeek
Discovery tierOpen weightsOpen weights
AddedOct 24, 2026Dec 1, 2025
Limits
Context window262.14KBest163K
Max output262.14KBest65.54K
Average output664 tokens408 tokens
Pricing, USD per 1M tokens
Input$0.22$0.21Best
Output$0.90$0.31Best
Cache read$0.011Best$0.0216
Performance
Throughput—64.2 tok/s
Time to first token—3.0 s
Request success (24h)40.6%99.7%Best
Benchmark indexes
Intelligence Index—16.0
Math Index—59.0
Capabilities
ReasoningYesNo
ToolsYesYes
Structured outputYesYes
PDF inputNoYes
Parallel toolsYesNo
Reasoning effortnone, minimal, low, medium, high, xhigh, max—

Public evaluations

Benchmarks

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

  • Xing 4.0 29B A4B
  • DeepSeek V3.2

Intelligence Index

  • Xing 4.0 29B A4B—
  • DeepSeek V3.216.0
3.8Catalog models by score55.1

Indexes

  • Math Index

    Composite of the math evaluations

    • Xing 4.0 29B A4B: —
    • DeepSeek V3.2: 59.0

Document reasoning

  • AA-LCRv1.1

    Reasoning across long documents

    • Xing 4.0 29B A4B: —
    • DeepSeek V3.2: 45.7%

Reasoning and knowledge

  • Humanity’s Last Exam

    Expert-level questions across academic fields

    • Xing 4.0 29B A4B: —
    • DeepSeek V3.2: 11.2%

  • GPQA Diamond

    Graduate-level science questions

    • Xing 4.0 29B A4B: —
    • DeepSeek V3.2: 75.1%

  • MMLU-Pro

    Multi-subject knowledge and reasoning

    • Xing 4.0 29B A4B: —
    • DeepSeek V3.2: 83.7%

  • IFBench

    Following precise output instructions

    • Xing 4.0 29B A4B: —
    • DeepSeek V3.2: 49.0%

Coding

  • LiveCodeBench

    Recent competitive programming problems

    • Xing 4.0 29B A4B: —
    • DeepSeek V3.2: 59.3%

Math

  • AIME 2025

    Competition mathematics, 2025 problems

    • Xing 4.0 29B A4B: —
    • DeepSeek V3.2: 59.0%

Legacy evaluations

  • Terminal-Bench Hard

    Earlier terminal task suite

    • Xing 4.0 29B A4B: —
    • DeepSeek V3.2: 32.6%

  • τ²-Bench Telecom

    Tool use in a customer-support simulation

    • Xing 4.0 29B A4B: —
    • DeepSeek V3.2: 78.9%

  • AA-LCR (unversioned)

    Long-context reasoning, earlier grading

    • Xing 4.0 29B A4B: —
    • DeepSeek V3.2: 45.7%

Scores from Artificial Analysis, updated Oct 26, 2026. Artificial Analysis

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
47.1%
About $0.12 per 1M input tokens with caching
Request success (24h)
40.6%
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)