AI 2026 年 8 月 16 日
AI Model API Relay Recommendation: AkileCloud — GPT, Claude, DeepSeek, and GLM via One API Key
AI Model API Relay Recommendation: AkileCloud — GPT, Claude, DeepSeek, and GLM via One API Key AkileCloud runs an AI model API relay alongsi
AI Model API Relay Recommendation: AkileCloud — GPT, Claude, DeepSeek, and GLM via One API Key
AkileCloud runs an AI model API relay alongside its VPS business. A single API Key gives you access to models from OpenAI, Anthropic, DeepSeek, and GLM (Zhipu). The relay is compatible with the OpenAI API format, so tools like Cursor, Claude Code, ChatBox, and the OpenAI SDK only need a base URL change to connect.
Registration: AkileCloud
What is the AkileCloud relay
AkileCloud aggregates multiple model providers behind one unified API endpoint. Instead of registering separately with OpenAI, Anthropic, and DeepSeek, dealing with credit cards and risk controls, you create one key in the AkileCloud dashboard and call any supported model on a pay-per-use basis.
The platform organizes models into four groups: OpenAI, Anthropic, GLM/Zhipu, and DeepSeek. Each group has its own models and independent billing. Switching models is just a
model parameter change, no code restructuring needed.Model status and availability
The tables below show the current operational status of each model on AkileCloud. This data comes from the platform’s status page and changes with upstream availability.
OpenAI group
| Model | Status | Success rate | Avg latency | Cache hit rate |
|---|---|---|---|---|
| gpt-5.6-sol | Normal | 98.9% | 3.0s | 87.3% |
| gpt-5.6-luna | Normal | 99.3% | 2.0s | 87.7% |
| gpt-5.6-terra | Normal | 99.1% | 3.0s | 90.8% |
| gpt-5.5 | Normal | 97.7% | 3.0s | 93.6% |
| gpt-5.3-codex-spark | Normal | 100% | 5.0s | 92.5% |
| gpt-5.4-mini | Normal | 100% | 1.0s | 86.2% |
| gpt-5.4 | Normal | 100% | 1.0s | 89% |
The three GPT-5.6 variants (sol, luna, terra) all sit around 99% success rate with 2-3 second latency. These are the primary workhorse models. gpt-5.4 and gpt-5.4-mini have 1-second latency and 100% success rate, good for speed-sensitive lightweight tasks. gpt-5.3-codex-spark is slower at 5 seconds but has a perfect success rate, suitable for non-urgent batch coding tasks.
DeepSeek group
| Model | Status | Success rate | Avg latency | Cache hit rate |
|---|---|---|---|---|
| deepseek-v4-flash | Normal | 100% | 2.0s | 97% |
| deepseek-v4-pro | Normal | 100% | - | 81.7% |
DeepSeek V4 Flash has 100% success rate, 2-second latency, and 97% cache hit rate. It is one of the best-performing models on the platform right now, offering strong value for high-concurrency and batch workloads. V4 Pro has a lower cache hit rate at 81.7%. For cost-sensitive tasks, Flash is the better starting point.
Anthropic group
| Model | Status | Success rate | Avg latency | Cache hit rate |
|---|---|---|---|---|
| claude-fable-5 | Down | 0% | - | 0% |
| claude-opus-5 | Down | 0% | - | 0% |
| claude-opus-4-8 | Down | 0% | - | 0% |
| claude-sonnet-5 | Down | 0% | - | 0% |
The Anthropic group is currently fully down. All four Claude models (Fable 5, Opus 5, Opus 4.8, Sonnet 5) show 0% success rate. If you need Claude models right now, AkileCloud won’t work temporarily. Watch the status page for recovery, or use another relay in the meantime. Our FreeModel relay review covers Claude access on a different platform.
GLM / Zhipu group
| Model | Status | Success rate | Avg latency | Cache hit rate |
|---|---|---|---|---|
| glm-5.2 | Unknown | 100% | - | 0% |
GLM-5.2 is marked “Unknown” with 100% success rate but 0% cache hit rate. This likely means the model was recently added or is still being calibrated. Test it yourself to see if it meets your needs.
Other models
| Model | Status | Success rate | Avg latency | Cache hit rate |
|---|---|---|---|---|
| codex-auto-review | Normal | 100% | 3.0s | 49.5% |
| gpt-image-2 | Normal | 100% | - | 0% |
codex-auto-review is a code review model with 100% success rate but only 49.5% cache hit rate, which makes sense since code review requests tend to be unique each time. gpt-image-2 is an image generation model, currently available.
Who is it for
Good fit
- Using Cursor, Claude Code, ChatBox, OpenAI SDK, or similar tools and wanting one endpoint for multiple model providers
- Primarily using GPT and DeepSeek models, without hard Claude dependency
- Avoiding the hassle of official OpenAI registration, credit cards, and account bans
- Running real workloads via API (coding, Q&A, batch processing), not just web chat
- Already using AkileCloud VPS and wanting to try the API relay
Not a good fit
- Must use Claude models (Anthropic group is currently fully down)
- Requires long-term stable SLA for production (relay availability depends on upstream and can change at any time)
- Has strict data privacy requirements (the relay processes your requests and responses)
How to connect
After registering, create an API Key in the dashboard and note the base URL. For OpenAI-compatible clients, the configuration looks like this:
Base URL: check AkileCloud dashboard
API Key: create in dashboard
Endpoint: /v1/chat/completions
Model: gpt-5.6-sol, deepseek-v4-flash, etc. (copy from dashboard model list)
For Cursor, configure the custom API address and key in Settings → Models. For Claude Code or Cline, check whether the tool supports a custom Anthropic Base URL. Since Claude models are currently unavailable, you’ll mainly be connecting to OpenAI and DeepSeek models.
Start with a small balance, run a few real tasks, and confirm success rate and latency before scaling up. Always copy model names from the dashboard list rather than guessing.
Model selection recommendations
Based on the status data above, the models currently running well on AkileCloud:
- General chat and tasks: gpt-5.4 or gpt-5.4-mini, 1s latency, 100% success rate
- Coding and complex tasks: gpt-5.6-sol or gpt-5.6-luna, 99%+ success rate, 2-3s latency
- High-value batch tasks: deepseek-v4-flash, 100% success rate, 2s latency, 97% cache hit rate
- Code review: codex-auto-review, specialized model, 100% success rate
- Image generation: gpt-image-2, available
Not recommended right now: the entire Claude lineup. Status page shows down, 0% success rate. Wait for the platform to fix it.
Notes on using relay services
Pricing
AkileCloud uses a multiplier-based billing model. Your actual cost = official API price × multiplier. Current multipliers by group:
| Group | Price multiplier | Notes |
|---|---|---|
| OpenAI | 0.0665× from | $1 of official usage costs ~$0.067 here |
| Anthropic | 0.1034× from | Anthropic group is currently fully down; multiplier for reference only |
| GLM / Zhipu | 0.5318× from | Official GLM pricing is already low, so absolute cost remains cheap |
| DeepSeek | 0.5908× from | Same as above — DeepSeek’s official unit price is low, actual spend is still inexpensive |
Reference rate: $1 ≈ ¥6.77. For example, GPT-5.6-sol has an official input price of $1.10/MTok. At 0.0665× multiplier, the effective input price on AkileCloud is ~$0.073/MTok, or roughly ¥0.49/MTok.
Check the AkileCloud dashboard pricing page for exact rates. Multipliers may change over time. Start with a small top-up, verify actual token consumption and charges, then decide on long-term use.
Model substitution risk
The relay industry has cases where providers swap a cheap model for an expensive one. AkileCloud publishes success rate and cache hit rate data on its status page, which helps as a reference but doesn’t fully eliminate the risk. Run a round of validation with your own real tasks and check whether output quality matches expectations. If quality is noticeably below the official model, try a different model or channel.
Top-up safety
As with any relay, top up in small amounts and use what you need. Don’t deposit large balances at once to avoid losses if the platform shuts down or bans your account.
Stability
Relay model availability depends on upstream supply and can change at any time. A model that works today may go down tomorrow, and vice versa. If your workload depends heavily on a specific model, keep a backup relay platform ready. Don’t put all your traffic on one relay.
FAQ
What’s the relationship between the relay and AkileCloud’s VPS business?
Same platform. AkileCloud’s main business is VPS hosting. The API relay is an additional service on the same platform, using the same account and billing system.
When will Claude models recover?
When the status page shows “down,” recovery time is unpredictable. It depends on upstream Anthropic supply and the platform’s channel arrangements. Watch AkileCloud’s official announcements or status page updates.
Does it support automated batch API calls?
Yes. The relay is OpenAI API-compatible, so you can batch-call via SDK or scripts. If you have token pool or automated registration needs, see our token pool setup guide.
What payment methods does top-up support?
AkileCloud supports Alipay, WeChat Pay, and USDT. See the top-up page for current options.
How does it compare to other relays?
AkileCloud’s advantage is that the platform has an established VPS business, so the exit risk is lower than a pure relay startup. The downside is that Claude models are currently unavailable, and model coverage is not as broad as dedicated AI relay platforms. For more options, see our AI API relay recommendation series.
Conclusion
AkileCloud’s relay currently suits users who primarily work with GPT and DeepSeek models. The GPT-5.6 lineup and DeepSeek V4 Flash are in good shape. Claude models are temporarily unavailable; if you need Claude, wait or use another platform. Before committing, top up a small amount, run real tasks, confirm output quality and billing, and keep a backup relay to avoid single-point failure.
Registration: AkileCloud
This article is based on public status page data from 2026-08-16. Model availability, success rates, and pricing may change at any time. Refer to the AkileCloud website for real-time information.
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作者：OB 发表日期：2026 年 8 月 16 日