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Taifoon – Qwen3-235B-A22B-Instruct-2507 Chat Completion
x402
Taifoon – Qwen3-235B-A22B-Instruct-2507 Chat Completion is a paid API for AI agents from coord.taifoon.dev, paid per call via x402, $0.001/call, status unknown (last checked 2026-10-28).
OpenAI-compatible chat completion using Qwen3-235B-A22B-Instruct-2507, served via Venice AI private inference and sold by Taifoon with per-token pricing over x402 USDC micropayments.
Price / call$0.001
Success—
StatusUnknown
How this service works
OpenAI-compatible chat completion on Qwen/Qwen3-235B-A22B-Instruct-2507, served by DeepInfra (serverless inference) and sold by Taifoon at the provider's price plus a 36.36 % reseller cut: 0.15 / 0.75 USD per 1M tokens in/out. This request is priced at its prompt and max_tokens. The answer is checked before you are charged.
Output
Returns an OpenAI-compatible chat completion JSON object containing the assistant's generated message, finish reason, and token usage counts. Billing is applied per token consumed (in and out) at 0.1545/0.7725 USD per 1M tokens, charged via x402 USDC only after the answer is verified.
Example use cases
Complex reasoning with a large MoE model
“Use Qwen3-235B to analyze this earnings call transcript and identify the three most significant forward-looking risk factors — keep the answer under 500 tokens.”
Privacy-sensitive document summarization
“I need to summarize confidential legal text without it going through a shared inference provider — send this paragraph to Venice AI's private Qwen3-235B and give me a concise 200-token summary.”
Agentic multi-step task planning
“Ask Qwen3-235B to break down the task 'launch a B2B SaaS product in 90 days' into a prioritized week-by-week action plan, max 700 tokens.”
Technical details
Endpoint
POSThttps://coord.taifoon.dev/v1/chat/completions/qwen3-235b-a22b-instruct-2507?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need a very large (235B parameter) mixture-of-experts model with strong reasoning capabilities and care about inference privacy (Venice AI does not log prompts on shared infra). Prefer it over smaller model endpoints on the same host when task complexity demands it, and over generic OpenAI endpoints when you want pay-per-call USDC micropayments via x402 with no subscription. The answer-before-charge model reduces financial risk for agentic pipelines.
Side effects
- Insufficient USDC balance or staked DIEM — payment rejected before response is delivered
- max_tokens exceeds the 700-token ceiling — request rejected with validation error
- messages array empty or missing required role/content fields — schema validation failure
- Model name provided does not match qwen3-235b-a22b-instruct-2507 or recognized aliases — may fall back to default model
- Venice AI upstream inference outage — 502/503 returned by coordinator
- Rate limiting or credit exhaustion mid-session — partial responses or 429 errors
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| model | string | optional; one of the 22 models this wall delivers (GET lists them under terms.models); without it nvidia/NVIDIA-Nemotron-3-Nano-4B-BF16 answers |
| messages | array | |
| max_tokens | integer |
Tags
x402
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