Xing4.0-29B-A4B
xingchen-agi/xing4.0-29b-a4bXing4.0-29B-A4B is a next-generation large language model in the Xing series (formerly [TeleChat](https://github.com/Tele-AI/TeleChat3)), developed by China Telecom Artificial Intelligence Technology Co., Ltd. With 29B total parameters and only 4B activated per token, it natively supports a 256K context length, extensible to 512K. It is the first model of this scale trained entirely on the Ascend NPU platform with the MindSpore framework, and deeply optimized for complex engineering tasks.
input
$0.22/M
output
$0.90/M
context
262K
created
Oct 16, 2026
Supported API shape
input
text
output
text
tools
Supported
json mode
Supported
Verification
receipt
x-receipt-id
attestation
gateway report
session
attested upstream
provider
Phala
Provider
Phala
Intel TDX
input
$0.22/M
output
$0.90/M
context
262K
Performance comparison
Last 72h · UTCMore models
Other private inference routes.
Jared Palmer: Kev 4B
Kev 4B is an open-weight System One model from Jared Palmer, fine-tuned from Qwen3.5 4B Base. It makes fast, structured decisions for software: given a state and typed questions, it returns calibrated answers instead of text, as a yes/no probability (noul), a pick among options (choice), or a level on a scale (score). Call it through POST /v1/systemone, compatible with the TypeSafe SDK; it does not serve chat. Served on Phala in a TDX-attested enclave with an 8,192-token context.
context
8K
input
$0.04/M
Phala: Qwen3.8 27B Uncensored (Aggressive)
HauhauCS Qwen3.8-27B Uncensored Aggressive, using the pinned Q8_K_P GGUF and BF16 vision projector. Served with SGLang on a Phala TDX-attested H200, with text and image input and a 262144-token context.
context
262K
input
$0.30/M
Z.ai: GLM 5.3
GLM-5.3 is a large-scale reasoning model from Z.ai, built for complex software engineering and long-horizon agent tasks. It supports text input and output with a 1M-token context window. Served as a text-only TEE deployment via Phala.
context
1.0M
input
$1.40/M
Qwen: Qwen3.8 27B
Qwen3.8 27B is an open-weight dense vision-language model from Qwen. It is suited for coding, professional workflows, research, multimodal interaction, and long-running agent tasks, with flexible thinking that can be enabled or disabled. Served on Phala in a TDX-attested enclave.
context
1M
input
$0.20/M