DaoXEWhy teams look for an alternative#
Aggregators are convenient, but the category shares a blind spot: it's hard to tell whether an endpoint is serving the model you asked for or a smaller/quantized/fallback one. DaoXE is built to close that gap — and to speak Claude's native protocol, which OpenAI-only routing can't fully do.
What DaoXE gives you#
One key, many models
GPT · Claude · Gemini · DeepSeek · Kimi · Qwen · Doubao behind a single endpoint and one bill.
Native Anthropic Messages
Claude Code and Anthropic SDKs work through /v1/messages, not just an OpenAI wrapper.
Benchmark-verifiable
Run the open CLI against DaoXE and anyone else and compare.
Overseas-ready
For developers abroad and Russian-speaking developers. Not available in mainland China.
Feature comparison#
| Capability | Typical aggregator | DaoXE |
|---|---|---|
| OpenAI-compatible base URL | Yes | Yes (/v1) |
| Native Anthropic Messages | Often via wrapper only | Native /v1/messages |
| Account-scoped model list | Varies | Yes (/v1/models) |
| Open, reproducible benchmark | Rare | Yes |
| Chinese-made models (DeepSeek/Kimi/Qwen) | Some | Same key |
| Price vs official | Varies | Lower — typically ~30–80% below list via low-price groups |
| Availability | Global | Overseas (not mainland China) |
Migrate in minutes#
- Swap the base URL. Point your OpenAI-compatible client at
https://daoxe.com/v1and paste your DaoXE key. - Use exact model IDs. Read them from
GET /v1/models— don't reuse another provider's IDs. - Move Claude Code to native Messages. Use the Cursor & Claude Code guide for the env-var setup.
- Benchmark both. Compare latency and model behavior before you fully switch.
from openai import OpenAI
client = OpenAI(
base_url="https://daoxe.com/v1", # one base URL for every model
api_key="YOUR_DAOXE_KEY",
)
resp = client.chat.completions.create(
model="YOUR_EXACT_MODEL_ID", # from GET /v1/models
messages=[{"role": "user", "content": "Hello"}],
max_tokens=64,
)
print(resp.choices[0].message.content)Don't trust — test
Point the provider-agnostic CLI at DaoXE, at the official API, and at your current aggregator. Compare p50/p95 latency and model behavior. Start with the benchmark guide.
Frequently asked questions#
How is DaoXE different from other aggregators?
It's built to be benchmarked (open verify CLI, account-scoped model list) and speaks native Anthropic Messages for Claude Code — not just an OpenAI-shaped wrapper.
Is it OpenAI-compatible so I can just switch?
Yes — change the base URL to https://daoxe.com/v1, keep your OpenAI SDK code, and use exact model IDs from your account.
Does it support Claude Code?
Yes, natively via /v1/messages. See the setup guide.
Where's the catch on availability?
DaoXE is not available in mainland China; it targets developers overseas, overseas Chinese communities, and Russian-speaking developers.
Try DaoXE — and benchmark it yourself
One key for GPT, Claude, Gemini, DeepSeek and more. Point the open benchmark at us and compare — don't take our word for it.