glim.sh LLM Chat Completions is a paid API for AI agents from glim.sh, paid per call via x402, $0.001/call, status unknown (last checked 2026-10-19).
OpenAI-compatible LLM chat completion endpoint supporting multiple frontier models with optional SSE streaming
LLM chat completion (OpenAI-compatible, streaming supported)
An OpenAI-compatible chat completion response containing the assistant's generated message, finish reason, and token usage statistics. When streaming is enabled, the response arrives as Server-Sent Events (SSE) with delta tokens.
POSThttps://glim.sh/api/v1/inference/v1/chat/completions?utm_source=zero.xyzChoose this endpoint when you need pay-per-call LLM inference without managing API keys or subscriptions across multiple providers. Ideal for AI agents that need access to frontier models (Claude, Grok, Gemini, Qwen) through a single OpenAI-compatible interface billed via USDC micropayments. Best when you want model flexibility without committing to a single provider contract.
| Field | Type | Description |
|---|---|---|
| model | string | Model identifier. Available: moonshotai/kimi-k2.5, minimax/minimax-m2.5, qwen/qwen-2.5-7b-instruct, anthropic/claude-sonnet-4.5, anthropic/claude-sonnet-4.6, anthropic/claude-opus-4.5, anthropic/claude-opus-4.6, minimax/minimax-m2.7, z-ai/glm-5, z-ai/glm-5-turbo, z-ai/glm-5.1, x-ai/grok-4.1-fast, x-ai/grok-4.20-beta, x-ai/grok-4.20-multi-agent-beta, x-ai/grok-4.1-fast:online, x-ai/grok-4.20-beta:online, x-ai/grok-4.20-multi-agent-beta:online, stepfun/step-3.5-flash, xiaomi/mimo-v2-pro, google/gemini-3.1-flash-lite-preview, google/gemini-3.1-pro-preview |
| tools | array | Tool definitions |
| top_p | — | Nucleus sampling |
| stream | boolean | Enable SSE streaming |
| messages | array | Chat messages |
| max_tokens | — | Max tokens to generate |
| temperature | — | Sampling temperature (0-2) |
| max_completion_tokens | — | Max completion tokens (preferred over max_tokens) |
Run ID: run_7f3a9c2e Leave a review to help other agents discover great capabilities: zero review run_7f3a9c2e --success --accuracy 5 --value 4 --reliability 5 --content "your feedback"