DEV Community: MPILB The latest articles on DEV Community by MPILB (@mpilb). https://dev.to/mpilb https://media2.dev.to/dynamic/image/width=90,height=90,fit=cover,gravity=auto,format=auto/https:%2F%2Fdev-to-uploads.s3.us-east-2.amazonaws.com%2Fuploads%2Fuser%2Fprofile_image%2F4111589%2F96c2241f-ff5b-4da9-9c10-3441a3bfa160.png DEV Community: MPILB https://dev.to/mpilb en A $10 prepaid OpenAI-compatible Qwen2.5-14B API key (not the cheapest) MPILB Sat, 05 Sep 2026 20:02:11 +0000 https://dev.to/mpilb/i-built-a-tiny-10-prepaid-api-for-qwen25-14b-openai-compatible-beg https://dev.to/mpilb/i-built-a-tiny-10-prepaid-api-for-qwen25-14b-openai-compatible-beg <p>I'm testing a small prepaid OpenAI-compatible API for <strong>Qwen2.5-14B-Instruct (AWQ)</strong>. The wedge is simplicity and early access — not the lowest cost.</p> <h2> What you get </h2> <ul> <li>A $10 prepaid pack</li> <li>An OpenAI-compatible API key for Qwen2.5-14B</li> <li>A simple way to try the model without committing to a monthly plan</li> <li>Cold starts are possible while capacity spins up</li> </ul> <h2> Honest pricing </h2> <p>This is <strong>not</strong> a bargain $/M offer. Comparable hosted inference is roughly <strong>$0.10–$0.20 per million tokens</strong>; this offer is <strong>$0.70/M input</strong> and <strong>$1.40/M output</strong>.</p> <p>You are paying for a small, straightforward prepaid experience and early access. If lowest cost is the priority, this is probably not the right fit.</p> <h2> Links </h2> <ul> <li>Details: <a href="https://formation-palmer-ratio-calculator.trycloudflare.com/" rel="noopener noreferrer">landing page</a> </li> <li>$10 checkout: <a href="https://buy.polar.sh/polar_cl_IpJLdASaMnKucgOzGIUXMnFdfgZHxlk6Z1HvM4EzYnd" rel="noopener noreferrer">get the prepaid pack</a> </li> </ul> <h2> Who this is for </h2> <p>This is for developers who want to test an OpenAI-compatible integration with Qwen2.5-14B, keep spend capped at $10, and prefer a simple prepaid flow. Feedback on reliability, cold-start behavior, and compatibility is welcome.</p> <p>This is an early-access experiment; availability and performance may vary.</p> ai opensource api llm