Comparison
LLM Status vs Needle2
A factual side by side of two tools in Hosting & Devtools. Figures come from each product’s own site.
LLM Status
ListedTrack where every AI model is used across your apps, and get warned before one is deprecated or retired.
Needle2
ListedAn 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.
| LLM Status | Needle2 | |
|---|---|---|
| Category | Hosting & Devtools | Hosting & Devtools |
| Pricing model | Freemium | Paid |
| Starting price | Not disclosed | Not disclosed |
| Free tier | Yes | No |
| Platforms | Not disclosed | Not disclosed |
| Techavy score | Not rated yet | Not rated yet |
About LLM Status
Track where every AI model is used across your apps, and get warned before one is deprecated or retired. Run mm for the full terminal dashboard: it scans the current repo on launch, then you arrow through every model it calls, browse the registry, and see what's new, live. Both pull the signed registry from cdn.llmstatus.ai once, then run offline. The Here and What's New tabs read straight off the signed registry, no account, works offline.
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.
Neither placement on this page is paid. Outbound links are nofollow. How we rate tools