Every LLM gateway comparison page says "fast" and "hundreds of models." Almost none let you check, before signing up, what the TTFT is right now, exactly how many models there are, and how much has actually been paid out to creators. teai.io moved all of that to a public API with no authentication. This post shows what one curl tells you — and, based on those numbers, what is and isn't a reason to use us yet.
Context for readers outside Japan: teai.io is a Tokyo-based LLM gateway (OpenAI- and Anthropic-Messages-compatible) with JPY billing. Everything below is reproducible with curl; no account needed.
No account, no key. Run this and you get the current values.
curl -s https://teai.io/api/v1/stats/public | jq '{models, mcp, credit_rate}'
curl -s https://teai.io/api/v1/latency | jq '.measured[] | {model, ttft_median_ms, median_ms}'
What comes back is not the value when this post was written — it is the value when you ran it. Better or worse, it shows as is. Few gateways let you see this much before signing up.
| Visible | Current value | What it means for you |
|---|---|---|
| Model count | 394 (11 providers) | Claude / GPT / Gemini / DeepSeek / Kimi / Qwen / Grok on the same code and the same invoice. This model today, another next month, no rewrite |
| Inference latency (TTFT/E2E) | 14 models measured continuously. TTFT from 420ms (deepseek-v4-flash) to a 1.9s median | For chat UIs, time-to-first-token is what users feel. Pick models on numbers for your own use case |
| MCP tools | 86 (voice-clone TTS, image/video generation, Japanese legal RAG, invoicing…) | Called with the same credits as your LLM balance. No per-tool contracts or key management |
| Credit-to-yen rate | ¥1 = 6 credits | What a "credit" is worth is stated. Pro ¥4,350/mo = 26,100cr. Unit prices track public list rates at −2% |
| Creator payout ledger | 22 paid calls, 197cr, 2 creators, all time | List an MCP tool or a voice and 80% of each payment is credited → withdraw from /voices. The ledger is public. The numbers are small for now (see below) |
We recently benchmarked teai.io and KOE (voice cloning) against the field and asked 10 personas — a SaaS CTO, enterprise procurement, an MCP author, a VTuber, a VC, a US ML engineer, and more — to judge us harshly. 10 out of 10 said "not yet." The reason was essentially one thing: "fast" and "380+" were written down, but nothing could be verified before signing up.
The same day we shipped the public API, TTFT measurement, and a withdrawal UI to production, and removed "under 100ms" from the landing page (we couldn't trace the evidence). We switched to: look at the numbers, then decide.
:fastest to a model name to auto-route to the fastest measured pathhttps://api.teai.io/v1 for the OpenAI SDK, or the Messages-compatible endpoint for the Anthropic SDK. Change nothing but the model nameNo auth. Sign up if you like them (100cr, no card). If not, that's fine too.
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