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 it fronts Claude through native Anthropic Messages on the same key as the OpenAI path. Protocol support across gateways keeps evolving (OpenRouter now documents Messages too), so what still differentiates is verifiability, curation and settlement — always re-check current docs before choosing.
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 directly, on the same key.
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 | Varies by provider | 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 |
| Pricing | Varies | Per model, usage-based; top-up 1 RMB = $1 of credit |
| 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 serves both the OpenAI path and native Anthropic Messages under one key. Several gateways now document Messages support too — compare on verifiability, catalog scope and region, and check each site's current docs.
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.