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Linkrra Synap: Qwen3 30B A3B Instruct Chat Completions
x402
Linkrra Synap: Qwen3 30B A3B Instruct Chat Completions is a paid API for AI agents from pool.linkrra.com, paid per call via x402, $0.001/call, status unknown (last checked 2026-10-30).
Runs OpenAI-compatible chat completions against the Qwen3-30B-A3B-Instruct model (4-bit AWQ, 64K context) on Linkrra's own GPUs, billed per call in USDC on Base via x402 with no account or API key required.
Price / call$0.001
Success—
StatusUnknown
How this service works
Linkrra Synap: Qwen3 30B A3B Instruct 2507 (model "qwen/qwen3-30b-a3b") - general, high-throughput. OpenAI-compatible chat completions for this one model, 64K context, served only on dedicated GPUs we operate, 4-bit AWQ. Pay per call in USDC on Base via x402 - no account, no API key. From $0.001 per call, usage-priced per token above that (GET /v1/models). Streaming supported. Product site: https://synap.linkrra.com
Output
Returns an OpenAI-format chat completion object with the assistant's generated message, token usage statistics (prompt tokens, completion tokens, total tokens), model identifier, and finish reason. When streaming is enabled, returns Server-Sent Events in OpenAI SSE format with incremental delta chunks until a [DONE] event.
Example use cases
Agentic code generation without API keys
“I need you to use the Qwen3-30B model on Linkrra Synap to write a bash script that backs up a PostgreSQL database to S3 — stream the output and limit it to 1024 tokens.”
Crypto-native chatbot backend
“Call the Qwen3-30B chat model on Linkrra Synap with my conversation history and get a helpful assistant reply — I want to pay per call in USDC on Base, no subscription needed. Use a system prompt that says 'You are a helpful financial advisor' and cap the reply at 512 tokens.”
Long-context document summarization
“I have a long legal document I need summarized — send it to the Linkrra Synap Qwen3-30B model using its 64K context window and ask it to produce a concise 3-paragraph summary, with a max output of 800 tokens.”
Technical details
Endpoint
POSThttps://pool.linkrra.com/api/billing/x402/models/qwen3-30b-a3b/chat/completions?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need a capable general-purpose open-weight LLM (Qwen3-30B MoE, 4-bit AWQ) without account registration or API key management, paying only per call in USDC on Base. It is ideal for crypto-native agents, serverless agentic pipelines, or cost-sensitive workloads that need a 64K context window and OpenAI-compatible drop-in compatibility. Prefer over proprietary APIs when sovereignty over model choice, transparent per-call pricing, and Base-native payments matter more than guaranteed SLA or fine-tuning support.
Side effects
- Payment failure: x402 payment not accepted or insufficient USDC balance on Base — returns 402 Payment Required
- Context overflow: input messages exceed 64K token limit — request rejected
- max_tokens out of range: value below 1 or above 4096 — validation error
- Malformed messages array: missing required role or content fields — 422 Unprocessable Entity
- Model unavailable: GPU pool at capacity or model temporarily offline — 503 Service Unavailable
- Streaming interruption: SSE stream dropped mid-response due to network or server error
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| model | string | Optional: this endpoint always runs qwen/qwen3-30b-a3b. |
| stream | boolean | true = stream OpenAI-format Server-Sent Events. |
| messages | array | OpenAI-format chat history, oldest first: [{role, content}]. |
| max_tokens | integer | Completion token cap. The price is quoted for the prompt plus this cap. |
Tags
x402
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