XingChen: Xing4.0 29B A4B (free)
xingchen-agi/xing4.0-29b-a4b:free · China Telecom (XingChen)Not yet established- Declared family
- Unknown
- Entered catalogue
- 16 October 2026
- Last tested
- 16 October 2026
- Measured signature
- tk_0ac9122a
AI Desk · AI FingerprintingNew arrival
XingChen: Xing4.0 29B A4B (free) has a clean measured fingerprint that currently sits alone: no other measured model shares its signature.
Xing4.0 comes from China Telecom's AI company, which publishes as XingChen-AGI and renamed its TeleChat models Xing. Its released tokenizer, run over the same 50 strings offline, returns the served counts on all 50: a SentencePiece vocabulary of 131,072 pieces, TeleChat3's, with 131,070 of them at the same positions, and a signature new to the dataset. The architecture is DeepSeek's published design. Its config.json uses 41 of DeepSeek-V3's setting names among its 47, with the sizes scaled down, among them MLA attention, a sigmoid expert router and one multi-token prediction layer, and three more are DeepSeek-V4's mHC settings at DeepSeek's values; its configuration code opens with DeepSeek-V3's own lines. Asked who made it in English, the model names Google Brain, or OpenAI with thinking on; asked in Chinese, it names China Telecom.
Xing4.0-29B-A4B repository (config.json: vocab_size 131072, 64 routed experts, hc_mult 4)Xing4.0-29B-A4B configuration code (opens with DEEPSEEK_PRETRAINED_CONFIG_ARCHIVE_MAP)TeleChat3-36B-Thinking repository (tokenizer.model, 131,072 pieces)DeepSeek-V3 repository (config.json)DeepSeek-V4-Flash repository (config.json: hc_mult 4, hc_sinkhorn_iters 20, hc_eps 1e-6)
| We checked | What we found | Where it came from |
|---|---|---|
| How it counts tokens | Counted cleanly, and no other model in the catalogue counts the same way | tk_0ac9122a |
| How its API is set up | A combination of settings no other listing in the catalogue uses | api_e4dcba8d |
| How much it can read and write | Reads up to 262,144 tokens at onceOpenRouter's listing shows 235,929 output tokens, which is 90% of the context window, the figure it carries where the provider declares no maximum. | its own listing |
| Whether it thinks before answering | Reasons when asked to | its own listing |
| Who served our requests | Phala | we measured it, 16 October 2026 |
Click a row to open the full comparison.
We sent XingChen: Xing4.0 29B A4B (free) fifty short pieces of text and recorded what each one cost it in tokens. The bars below are those costs. Two models built on the same tokenizer produce the same bars; a model built on a different one produces a different set, which is what makes this a fingerprint.
Overhead subtracted: 6 prompt tokens.
Xing4.0-29B-A4B is an open-weight mixture-of-experts language model from China Telecom's AI team (TeleAI) and the successor to the TeleChat series. It has 29B total parameters with 4B active per token...
Supported parameters
frequency_penaltyinclude_reasoningmax_tokensmin_ppresence_penaltyreasoningrepetition_penaltyresponse_formatseedstopstructured_outputstemperaturetool_choicetoolstop_ktop_p