Needle2 vs Wattfare

An open 45M-parameter model for tool calling, device use, and structured extraction. Needle 2 runs as a 14 MB binary in 28 MB of session RAM.

Users connect, set a spending cap, and you call any model through one SDK, charged to them, not you.

About Needle2

An open 45M-parameter model for tool calling, device use, and structured extraction. Needle 2 runs as a 14 MB binary in 28 MB of session RAM. Needle 2 is measured end-to-end through the shipped binary at CQ2-bit deployment precision with tool retrieval on; baselines run the released checkpoints under vLLM, and Apple FM runs on-device. Bringing On-Device AI to <$200 Devices : Edge AI has lately meant Macs and PCs, but the true edge is mostly cheap hardware: there are more than 21 billion IoT devices against roughly 1.5 billion PCs.

About Wattfare

Users connect, set a spending cap, and you call any model through one SDK, charged to them, not you. OpenAI-compatible Works with the Vercel AI SDK ~5-min integration. One button connects a user's inference budget to your app, metered, capped, and revocable. The problem AI costs are the one line item you can't predict. Every AI app makes the same uncomfortable bet: price high enough to survive your power users, ration usage so nobody hurts you, or quietly lose money on the heavy ones.