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| Site | Channel Name | Price | Trend | Token usage | Uptime | Fake % | Latency | Status |
|---|---|---|---|---|---|---|---|---|
hao.aiBiz | codex | ¥5.1 | 0% | Lower | 100% | Barely | 5.7s | |
灵算Biz | cx-稳定官池 | ¥0.7 | 0% | Lower | 100% | Barely | 6.3s | |
Mintpop | ChatGPT | — | - | Higher | 96% | Barely | 11s | |
辰数AIBiz | codex-低价官方号池-0.12x | — | - | Much higher | 96% | Barely | 10.1s | |
Hiyo | codex plus | ¥0.38 | 0% | Much higher | 87% | Barely | 5.4s | |
SwitchBase | gpt | — | - | Higher | 96% | Barely | 7.7s |
SiteChannel Name | Price | Trend | Token usage | Uptime | Fake % | Latency | Status |
|---|---|---|---|---|---|---|---|
hao.aiBiz codex | ¥5.1 | 0% | Lower | 100% | Barely | 5.7s | |
灵算Biz cx-稳定官池 | ¥0.7 | 0% | Lower | 100% | Barely | 6.3s | |
Mintpop ChatGPT | — | - | Higher | 96% | Barely | 11s | |
辰数AIBiz codex-低价官方号池-0.12x | — | - | Much higher | 96% | Barely | 10.1s | |
Hiyo codex plus | ¥0.38 | 0% | Much higher | 87% | Barely | 5.4s | |
SwitchBase gpt | — | - | Higher | 96% | Barely | 7.7s |
| Site | Channel Name | Price | Trend | Token usage | Uptime | Fake % | Latency | Status |
|---|---|---|---|---|---|---|---|---|
hao.aiBiz | codex | ¥5.1 | 0% | Average | 100% | Barely | 7.8s | |
SudoCodeBiz | default | ¥1 | 0% | Average | 98% | Barely | 10.3s | |
tallius.aiBiz | default | ¥0.94 | 0% | Average | 100% | Barely | 12.1s | |
Mintpop | ChatGPT | — | - | Average | 100% | Barely | 11.9s | |
辰数AIBiz | codex-低价官方号池-0.12x | — | - | Higher | 91% | Barely | 11s | |
SwitchBase | gpt | ¥1.2 | 0% | Average | 100% | Barely | 11.5s |
SiteChannel Name | Price | Trend | Token usage | Uptime | Fake % | Latency | Status |
|---|---|---|---|---|---|---|---|
hao.aiBiz codex | ¥5.1 | 0% | Average | 100% | Barely | 7.8s | |
SudoCodeBiz default | ¥1 | 0% | Average | 98% | Barely | 10.3s | |
tallius.aiBiz default | ¥0.94 | 0% | Average | 100% | Barely | 12.1s | |
Mintpop ChatGPT | — | - | Average | 100% | Barely | 11.9s | |
辰数AIBiz codex-低价官方号池-0.12x | — | - | Higher | 91% | Barely | 11s | |
SwitchBase gpt | ¥1.2 | 0% | Average | 100% | Barely | 11.5s |
| Site | Channel Name | Price | Trend | Token usage | Uptime | Fake % | Latency | Status |
|---|---|---|---|---|---|---|---|---|
hao.aiBiz | claude | ¥10.2 | 0% | Lower | 100% | Barely | 5.7s | |
SudoCodeBiz | default | ¥14 | 0% | Average | 98% | Barely | 5.7s | |
Mintpop | Claude (Claude Code / Desktop) | — | - | Much higher | 100% | Barely | 8.6s | |
Dmxcode | cc-max-限制客户端 | ¥16 | 0% | Lower | 92% | Barely | 7.8s | |
AnPin AIBiz | cc自建号池_max | — | 0% | Lower | 98% | Barely | 5.9s | |
Poixe AI | default | ¥56 | 0% | Lower | 100% | Barely | 6.1s |
SiteChannel Name | Price | Trend | Token usage | Uptime | Fake % | Latency | Status |
|---|---|---|---|---|---|---|---|
hao.aiBiz claude | ¥10.2 | 0% | Lower | 100% | Barely | 5.7s | |
SudoCodeBiz default | ¥14 | 0% | Average | 98% | Barely | 5.7s | |
Mintpop Claude (Claude Code / Desktop) | — | - | Much higher | 100% | Barely | 8.6s | |
Dmxcode cc-max-限制客户端 | ¥16 | 0% | Lower | 92% | Barely | 7.8s | |
AnPin AIBiz cc自建号池_max | — | 0% | Lower | 98% | Barely | 5.9s | |
Poixe AI default | ¥56 | 0% | Lower | 100% | Barely | 6.1s |
| Site | Channel Name | Price | Trend | Token usage | Uptime | Fake % | Latency | Status |
|---|---|---|---|---|---|---|---|---|
hao.aiBiz | claude | ¥5.1 | 0% | Lower | 100% | Barely | 4.1s | |
EiRouterBiz | CC官转MAX 20x | ¥4.5 | 0% | Much higher | 100% | Barely | 4.4s | |
Claude APIID | default | ¥27 | 0% | Much higher | 100% | Barely | 6s | |
Mintpop | Claude (Claude Code / Desktop) | — | - | Much higher | 96% | Barely | 5.1s | |
Dmxcode | cc-max-限制客户端 | ¥8 | 0% | Lower | 93% | Barely | 7.2s | |
ccgoBiz | CC MAX满血号池 可外接 | ¥8.5 | 0% | Lower | 98% | Barely | 4.7s |
SiteChannel Name | Price | Trend | Token usage | Uptime | Fake % | Latency | Status |
|---|---|---|---|---|---|---|---|
hao.aiBiz claude | ¥5.1 | 0% | Lower | 100% | Barely | 4.1s | |
EiRouterBiz CC官转MAX 20x | ¥4.5 | 0% | Much higher | 100% | Barely | 4.4s | |
Claude APIID default | ¥27 | 0% | Much higher | 100% | Barely | 6s | |
Mintpop Claude (Claude Code / Desktop) | — | - | Much higher | 96% | Barely | 5.1s | |
Dmxcode cc-max-限制客户端 | ¥8 | 0% | Lower | 93% | Barely | 7.2s | |
ccgoBiz CC MAX满血号池 可外接 | ¥8.5 | 0% | Lower | 98% | Barely | 4.7s |
| Site | Channel Name | Price | Trend | Token usage | Uptime | Fake % | Latency | Status |
|---|---|---|---|---|---|---|---|---|
hao.aiBiz | claude | ¥3.1 | 0% | Lower | 100% | Barely | 2.4s | |
SudoCodeBiz | default | ¥2.8 | 0% | Much higher | 98% | Barely | 3.4s | |
Claude APIID | default | — | - | Much higher | 98% | Barely | 6s | |
Mintpop | Claude (Claude Code / Desktop) | — | - | Much higher | 100% | Barely | 6.9s | |
Dmxcode | cc-max-限制客户端 | ¥4.8 | 0% | Average | 91% | Barely | 5.7s | |
Poixe AI | default | ¥16.8 | 0% | Lower | 100% | Barely | 3.4s |
SiteChannel Name | Price | Trend | Token usage | Uptime | Fake % | Latency | Status |
|---|---|---|---|---|---|---|---|
hao.aiBiz claude | ¥3.1 | 0% | Lower | 100% | Barely | 2.4s | |
SudoCodeBiz default | ¥2.8 | 0% | Much higher | 98% | Barely | 3.4s | |
Claude APIID default | — | - | Much higher | 98% | Barely | 6s | |
Mintpop Claude (Claude Code / Desktop) | — | - | Much higher | 100% | Barely | 6.9s | |
Dmxcode cc-max-限制客户端 | ¥4.8 | 0% | Average | 91% | Barely | 5.7s | |
Poixe AI default | ¥16.8 | 0% | Lower | 100% | Barely | 3.4s |
| Site | Channel Name | Price | Trend | Token usage | Uptime | Latency | Status |
|---|---|---|---|---|---|---|---|
CUN.aiBiz | default | ¥5.8/M | 0% | — | 82% | 20.5s | |
灵算Biz | cx-image2专用 | — | - | — | 89% | 26s | |
优兔API | image-2生图 | ¥5/M | 0% | — | 88% | 33.5s | |
ZZZBiz | Image | ¥2/M | 0% | — | 100% | 27.3s | |
luchikeyBiz | GPT生图 | ¥5/M | +247% | — | 91% | 26.2s | |
SadAIID | gpt_pro | ¥0.03/call | - | — | 96% | 23.6s |
SiteChannel Name | Price | Trend | Token usage | Uptime | Latency | Status |
|---|---|---|---|---|---|---|
CUN.aiBiz default | ¥5.8/M | 0% | — | 82% | 20.5s | |
灵算Biz cx-image2专用 | — | - | — | 89% | 26s | |
优兔API image-2生图 | ¥5/M | 0% | — | 88% | 33.5s | |
ZZZBiz Image | ¥2/M | 0% | — | 100% | 27.3s | |
luchikeyBiz GPT生图 | ¥5/M | +247% | — | 91% | 26.2s | |
SadAIID gpt_pro | ¥0.03/call | - | — | 96% | 23.6s |
| Site | Channel Name | Price | Trend | Token usage | Uptime | Latency | Status |
|---|---|---|---|---|---|---|---|
MuskAIBiz | 中国模型-企业级 | ¥4.8 | -25% | — | 100% | 2.4s | |
9527codeBiz | 国产官方模型分组 | — | 0% | — | 80% | 3.5s | |
聚星AIBiz | 国产模型 | ¥6.8 | 0% | — | 100% | 6.9s | |
AOKBiz | GLM-API | ¥4.8 | 0% | — | 98% | 2.4s | |
AnPin AIBiz | glm5.2 kimi-2.7 | — | - | — | 80% | 3.4s | |
routescopeBiz | GLM_official | — | - | — | 98% | 5.1s |
SiteChannel Name | Price | Trend | Token usage | Uptime | Latency | Status |
|---|---|---|---|---|---|---|
MuskAIBiz 中国模型-企业级 | ¥4.8 | -25% | — | 100% | 2.4s | |
9527codeBiz 国产官方模型分组 | — | 0% | — | 80% | 3.5s | |
聚星AIBiz 国产模型 | ¥6.8 | 0% | — | 100% | 6.9s | |
AOKBiz GLM-API | ¥4.8 | 0% | — | 98% | 2.4s | |
AnPin AIBiz glm5.2 kimi-2.7 | — | - | — | 80% | 3.4s | |
routescopeBiz GLM_official | — | - | — | 98% | 5.1s |
| Site | Channel Name | Price | Trend | Token usage | Uptime | Fake % | Latency | Status |
|---|---|---|---|---|---|---|---|---|
SudoCodeBiz | default | ¥0.5 | 0% | Lower | 100% | Barely | 5s | |
hao.aiBiz | codex | ¥2.5 | 0% | Lower | 100% | Barely | 3.1s | |
Hiyo | codex plus | ¥0.19 | 0% | Much higher | 94% | Barely | 2.3s | |
辰数AIBiz | codex-低价官方号池-0.12x | — | - | Much higher | 94% | Barely | 7.4s | |
SwitchBase | gpt | — | - | Average | 98% | Barely | 5.9s | |
Mintpop | ChatGPT | — | - | Higher | 100% | Barely | 7.9s |
SiteChannel Name | Price | Trend | Token usage | Uptime | Fake % | Latency | Status |
|---|---|---|---|---|---|---|---|
SudoCodeBiz default | ¥0.5 | 0% | Lower | 100% | Barely | 5s | |
hao.aiBiz codex | ¥2.5 | 0% | Lower | 100% | Barely | 3.1s | |
Hiyo codex plus | ¥0.19 | 0% | Much higher | 94% | Barely | 2.3s | |
辰数AIBiz codex-低价官方号池-0.12x | — | - | Much higher | 94% | Barely | 7.4s | |
SwitchBase gpt | — | - | Average | 98% | Barely | 5.9s | |
Mintpop ChatGPT | — | - | Higher | 100% | Barely | 7.9s |
| Site | Channel Name | Price | Trend | Token usage | Uptime | Fake % | Latency | Status |
|---|---|---|---|---|---|---|---|---|
hao.aiBiz | claude | ¥5.1 | 0% | Lower | 100% | Barely | 3s | |
SudoCodeBiz | default | ¥7 | 0% | Higher | 98% | Barely | 4.1s | |
Claude APIID | default | ¥27 | 0% | Much higher | 100% | Barely | 6.4s | |
Mintpop | Claude (Claude Code / Desktop) | — | - | Much higher | 100% | Barely | 6.8s | |
Dmxcode | cc-max-限制客户端 | ¥8 | 0% | Lower | 91% | Barely | 6s | |
AnPin AIBiz | cc-max | ¥8.5 | 0% | Average | 98% | Barely | 3.4s |
SiteChannel Name | Price | Trend | Token usage | Uptime | Fake % | Latency | Status |
|---|---|---|---|---|---|---|---|
hao.aiBiz claude | ¥5.1 | 0% | Lower | 100% | Barely | 3s | |
SudoCodeBiz default | ¥7 | 0% | Higher | 98% | Barely | 4.1s | |
Claude APIID default | ¥27 | 0% | Much higher | 100% | Barely | 6.4s | |
Mintpop Claude (Claude Code / Desktop) | — | - | Much higher | 100% | Barely | 6.8s | |
Dmxcode cc-max-限制客户端 | ¥8 | 0% | Lower | 91% | Barely | 6s | |
AnPin AIBiz cc-max | ¥8.5 | 0% | Average | 98% | Barely | 3.4s |
| Site | Channel Name | Price | Trend | Token usage | Uptime | Fake % | Latency | Status |
|---|---|---|---|---|---|---|---|---|
hao.aiBiz | claude | ¥5.1 | 0% | Lower | 100% | Barely | 3.6s | |
SudoCodeBiz | default | ¥7 | 0% | Higher | 100% | Barely | 5.2s | |
Claude APIID | default | ¥27 | 0% | Much higher | 100% | Barely | 6.7s | |
AnPin AIBiz | cc-max | ¥8.5 | 0% | Lower | 100% | Barely | 4.7s | |
PackyCodeBiz | cc-sale | ¥4 | 0% | Higher | 94% | Barely | 6s | |
哩喵中转栈 | Claude Max | ¥8 | +6.7% | Higher | 100% | Barely | 4.7s |
SiteChannel Name | Price | Trend | Token usage | Uptime | Fake % | Latency | Status |
|---|---|---|---|---|---|---|---|
hao.aiBiz claude | ¥5.1 | 0% | Lower | 100% | Barely | 3.6s | |
SudoCodeBiz default | ¥7 | 0% | Higher | 100% | Barely | 5.2s | |
Claude APIID default | ¥27 | 0% | Much higher | 100% | Barely | 6.7s | |
AnPin AIBiz cc-max | ¥8.5 | 0% | Lower | 100% | Barely | 4.7s | |
PackyCodeBiz cc-sale | ¥4 | 0% | Higher | 94% | Barely | 6s | |
哩喵中转栈 Claude Max | ¥8 | +6.7% | Higher | 100% | Barely | 4.7s |
7 月 15 日,具身智能创业企业星尘智能发布第二代具身基座模型 Lumo-2,以及面向长期人机共处的物理 AI 智能体 Philia。 在星尘智能的技术框架中,这两项发布分别对应「AI 模型」与「具身 OS」,再与其绳驱机器人本体结合,构成公司所强调的「AI 模型—具身 OS—绳驱本体」三层体系。
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苹果稳坐全球第一消费电子品牌、延续近二十年顺风顺水的日子,仿佛要在 2026 年按下暂停键了。 上个月,大家的目光还聚焦在苹果被印度代工厂惨坑一把、导致有史以来最严重的发布前泄露,这个月就迎来了新的参赛选手。 图|路透社 只不过这次的对手不是印度工厂,而是同袍兄弟。 此前苹果正式向加州北区联邦地区法院提交的诉讼案( Apple Inc. v. Liu. et al 5:26-cv-07078 N.D. Cal.
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This page helps you quickly judge whether an AI gateway is forwarding a real upstream model reliably or whether it shows signs of wrapping, impersonation, protocol mismatch, or watered-down capability. We send controlled probe requests and compare response structure, knowledge behavior, identity consistency, thinking traces, and signature fingerprints. It is not a formal audit and it does not guarantee perfect accuracy, but it gives you a low-cost technical sanity check before you buy, integrate, or rely on an AI gateway for production traffic.
I have tried many AI gateways recently and recorded my usage notes in this document. You can refer to the API review document
An AI gateway sits between you and an upstream model provider. It forwards requests, normalizes billing, switches providers, or wraps multiple model backends behind one interface. That can be convenient, but it also means you are no longer talking directly to the original model vendor.
Common risks include protocol mismatches, identity substitution, abnormal knowledge behavior, modified responses, unclear logging or key handling, and uptime that depends on a hidden upstream. Some services also market one model name while routing traffic to a weaker or different backend.
We send structured probe requests and score the results across protocol consistency, response structure, knowledge answers, identity consistency, thinking traces, and signature fingerprints. Instead of trusting a single field, the tool cross-checks multiple technical signals to surface suspicious AI gateway behavior faster.
Technical metrics are not a guarantee of operator credibility. Our algorithm can identify whether an endpoint appears genuine and stable through repeated probes, but it cannot predict how long the operator will remain in business. Third-party relay services are heavily affected by upstream policy changes, and providers change frequently in this industry. For your financial safety, stay risk-aware and start with the smallest possible top-up. Only consider small renewals after you have confirmed stable long-term service, and avoid stocking up a large balance at once in case the provider shuts down unexpectedly.