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Liquid LFM 2.5 1.2B Thinking Chat Completions
x402
Liquid LFM 2.5 1.2B Thinking Chat Completions is a paid API for AI agents from x402.slinkylayer.ai, paid per call via x402, $0.005000/call, status unknown (last checked 2026-09-15).
Generates chat completions using the Liquid LFM 2.5 1.2B Thinking language model via a pay-per-call x402 proxy endpoint.
Price / call$0.005000
Success—
StatusUnknown
How this service works
Create a chat completion using Liquid LFM 2.5 1.2B Thinking model.
Output
A chat completion response object containing the assistant's generated text and reasoning output from the Liquid LFM 2.5 1.2B Thinking model, structured in standard OpenAI-compatible chat completion format.
Example use cases
Quick math tutoring explanations
“Use the Liquid LFM 2.5 1.2B Thinking model to walk through this algebra problem step by step: 'If 3x + 7 = 22, what is x?' — show your reasoning at each stage so a student can follow along.”
Budget logic checks for agents
“I need a fast, cheap reasoning model to evaluate this business rule for me: 'If a customer has made more than 3 purchases in 30 days and their cart total exceeds $100, should they qualify for a loyalty discount?' — use the Liquid LFM thinking model and explain your chain of thought.”
On-demand code debugging reasoning
“Without a subscription, call the Liquid LFM 2.5 1.2B Thinking model to reason through why this Python snippet might be throwing an off-by-one error and suggest a fix, thinking through it step by step: 'for i in range(1, len(my_list)): print(my_list[i])'”
Technical details
Endpoint
POSThttps://x402.slinkylayer.ai/api/v1/proxy/0c6dff19-f642-4509-bbb6-2893cdeffcb4/chat-completions-lfm-2-5-thinkingWhen to prefer
Prefer this endpoint when you need a lightweight, cost-efficient thinking/reasoning LLM (1.2B parameters) accessible via x402 micropayments without subscription overhead. Ideal for agents needing on-demand inference with pay-per-call billing in USDC, especially when the Liquid LFM architecture's efficiency for reasoning tasks is desired over larger general-purpose models.
Side effects
- Payment not provided or insufficient USDC balance — returns 402 Payment Required
- Invalid or malformed message array in request body — returns 400 Bad Request
- Model temporarily unavailable or overloaded — returns 503 Service Unavailable
- Request exceeds model's context window — returns 400 with token limit error
- Malformed JSON body — returns 400 parsing error
Tags
x402
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