Aihubmix
China-Zone Relay · since 2023Aihubmix is an AI API china-zone relay provider. TokenAPI Scan independently monitors model authenticity, protocol coverage, response latency, and pricing transparency.
This page aggregates AI API relay detection data for Aihubmix, focusing on whether Claude / OpenAI / Gemini are truly passthrough, whether usage fields are anomalous, whether model lists are usable, and accessibility across different network regions. If you're searching for "Aihubmix real or fake", "Aihubmix review", "API relay detection", or "relay price comparison", we recommend checking the detection summary, network status, and public pricing evidence below before deciding whether to continue using it.
Related:Relay Rankings · Price Comparison · Network Tools · FAQ · Buying Guide
auto
glm-5.2
gpt-5.6-luna
gpt-5.6-sol
gpt-5.6-terra
grok-4.5
claude-opus-5
gemini-3.6-flash
claude-sonnet-5
kimi-k3
ling-3.0-flash-free
qwen3.8-max-preview
muse-spark-1.1
gemini-3.1-flash-lite-image
gemini-3.5-flash-lite
gemini-3.5-flash-lite-free
gemini-3.6-flash-free
glm-5.2-fast-preview
claude-fable-5
claude-opus-4-8
hy3
doubao-seed-2-1-pro
doubao-seed-2-1-turbo
mai-image-2.5-pro
grok-build-0.1
mai-image-2.5
mai-image-2.5-flash
gemini-3.5-flash
coding-kimi-k3
coding-glm-5.2-free
coding-kimi-k3-free
gemini-3.1-flash-image
gpt-oss-20b-free
kimi-k2.7-code
kimi-k2.7-code-highspeed
longcat-2.0
nemotron-nano-9b-v2-free
gemini-3-pro-image
gpt-4o-transcribe-diarize
gpt-audio-1.5
Expand remaining 10
hy3-preview
minimax-m3
nemotron-nano-12b-v2-vl-free
qwen3.7-flash
qwen3.7-plus
step-3.7-flash
nemotron-3-super-120b-a12b-free
claude-opus-4-8-think
laguna-m.1-free
nemotron-3-nano-omni-30b-a3b-reasoning-free
💰 Public Price Snapshot
🟡 Self-reportedFrom the provider public page, not recently verified by us. Here is the full price table for Aihubmix (scraped from the public pricing page, 8 models) - cross-provider comparison at pricing page, API volatility at AI service status.
| Model | Input / M | Output / M | Cache R | W 5m | W 1h | Gov |
|---|---|---|---|---|---|---|
claude-3-haiku-20240307 |
$0.0340 | $0.1380 | — | — | — | raw |
claude-3-opus-20240229 |
$2.0830 | $6.2500 | — | — | — | raw |
claude-3-sonnet-20240229 |
$0.4160 | $1.6660 | — | — | — | raw |
gpt-3.5-turbo |
$0.2080 | $0.2080 | — | — | — | raw |
gpt-3.5-turbo-16k |
$0.4160 | $0.4160 | — | — | — | raw |
gpt-4 |
$3.4720 | $6.9440 | — | — | — | raw |
gpt-4-turbo-preview |
$1.3880 | $4.1660 | — | — | — | raw |
mistral-7b-instruct |
$0.0690 | $0.0690 | — | — | — | raw |
8 models · Source Aihubmix pricing page · Snapshot 2026-07-29（23:02 UTC） · Last tested 2026-05-21 · Total 14 tests
✅ Strengths
- Wide model variety
- Comprehensive docs
- Multiple billing options
- Good API compatibility
⚠️ Notes
- Above-average pricing
- Average new model onboarding speed
🎯 Use Case
- Apps requiring multi-model switching
- Team collaborative development
- Requires billing flexibility
⚡ Speed Test from Your IP
🔬 Real Detection Summary
Last check: 2026-05-21 20:36 UTC
Recent Detection Latency Trend (30 times, old->new)
By Protocol
Last 5 reports
Source: All metrics from real detections after users submit API keys,Server-side Calls Aihubmix protocol verification requests from endpoints,. Pass rate = Requests returning correct responses / Total Requests。 -> Full Methodology
🛰️ System Probe Summary
The platform runs keyless connectivity probes every 6 hours on this site's OpenAI / Anthropic / Gemini protocol list-models endpoints (HTTP 401/403 counts as connected, indicating the endpoint is alive). Below are the cumulative real results.
By Protocol (System Probe)
Note: Connectivity rate = endpoint responses (incl. 401/403 auth responses) / probe count, measures endpoint liveness not service quality; service quality is determined by key-submitted detections in "Real Detection Summary" above.
📊 Real-time Detection Data
Aihubmix
100.0% Median Pass Rate · Snapshot Loaded💧 Water Rate v2 63.2 / 100 · Good Real request http=200 ratio 68% avg 10559ms Click to expand formula →
| Report | Protocol | Score | Duration | Time |
|---|---|---|---|---|
| View Report | OPENAI | 100% | 2026-05-21 20:36 | |
| View Report | OPENAI | 100% | 2026-05-18 18:00 | |
| View Report | OPENAI | 100% | 2026-05-18 18:00 | |
| View Report | OPENAI | 100% | 2026-05-17 18:00 | |
| View Report | OPENAI | 100% | 2026-05-17 18:00 |
📋 Protocol Suitability Matrix
Based on 14 real tests of protocol coverage and median pass rate, answering "Which protocols can I use with Aihubmix?"
| Protocol | Tests | Median Pass Rate | Status | Suggestion |
|---|---|---|---|---|
| openai | 14 | 0% | - Unknown | Test with small traffic first |
⏱ Rate Limits & Pricing Multiplier
Key operational parameters that determine whether you can scale concurrent calls.
⚠️ Actual multipliers depend on Aihubmix's backend account. This site does not directly hold account tokens and cannot see hidden SLAs.
🛠 Integration Tutorial: Get Started with Aihubmix in 3 Steps
- Register an account and create an API Key in the backend (the console usually has "My Keys" or "API Tokens" entry).
- Replace the base URL in your code with
https://aihubmix.com/v1, and select the model name from Aihubmix's list. - Test a request:
curl https://aihubmix.com/v1/v1/chat/completions -H "Authorization: Bearer YOUR_KEY" -H "Content-Type: application/json" -d '{"model":"gpt-4o-mini","messages":[{"role":"user","content":"hello"}]}'
✅ This is an OpenAI Compatibility Mode integration example. Anthropic / Gemini protocols vary slightly by provider, see each site's documentation.。
❓ Frequently Asked Questions
Is Aihubmix reliable?
Based on 14 independent tests by TokenAPI Scan, the median pass rate is 100%.Stable quality, suitable for production.
How much does Aihubmix cost?
Aihubmix's public price page lists 8 models. See the "💰 Public Price Snapshot" section above. Source:Aihubmix。
Which models does Aihubmix support?
Aihubmix endpoint enumerates 380 models (endpoint anonymously accessible, model list public). Actual callable models depend on your account permissions and Aihubmix's backend.
What's the difference between Aihubmix and official?
Official (OpenAI/Anthropic/Google) = first-hand pricing + stable direct connection + strict content moderation and account ban risk. Third-party relays = usually discounted pricing + domestic accessibility + but compounded availability, content moderation, SLA, and service shutdown risks. Which to choose depends on your cost sensitivity, content moderation requirements, and stability priorities. It is recommended to use official for critical paths + relays as backup.
Will Aihubmix shut down?
We continuously monitor relay site reachability. Multiple consecutive failed detections within 30 days = high risk signal. Recommendations: ① Don't top up too much ② Rotate across multiple providers for critical services ③ Watch the Rankings warnings.
💭 Related Questions
💰 Popular Model API Prices
Compare API prices across relay providers: