dev.aimodelradar/ai-model-radar
name:dev.aimodelradar/ai-model-radar
Which open models fit your GPU or Mac, measured. Model momentum, GPU rental prices, weekly pick.
- transport:
- remote
- credential class:
- unreachable
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- find_fitshallow
Which tracked models run on a given GPU or Mac: measured GGUF weights + computed context cache + runtime overhead versus usable memory. Returns the best recommendation and every verdict (EXCELLENT/GOOD/TIGHT/OFFLOAD_REQUIRED/NOT_RECOMMENDED/UNKNOWN) with plain-language reasons. Get hardware ids from list_hardware.
- gpu_pricesshallow
Median verified on-demand rental price per GPU class on Vast.ai (USD per hour), with min/p75 and offer counts, plus the collection timestamp.
- list_hardwareshallow
Curated GPU and Mac profiles the fit engine knows — ids, memory, usable memory after margins, bandwidth. Use an id with find_fit.
- trending_modelsshallow
Tracked AI models ranked by Heat Score (0–100, weighted percentiles of measured Hugging Face/OpenRouter signals) with the raw signals, local-run facts (GGUF size, quantization) and links. Models still collecting a week of history have heat=null and rank after scored ones.
- weekly_pickshallow
The current pick of the week: one tracked model chosen by a published rule (largest counted Heat Score rise among models that run comfortably on a consumer card of up to 24 GB), with the numbers frozen at selection time, a device-by-device fit ladder and the written report including its caveats. Pass week (e.g. 2026-w37) for a past issue. issue is null until the first issue is published.
Embed this server’s score
Tool count and median score across every tool in this server’s corpus — honest in a way a single cherry-picked tool’s badge wouldn’t be.
[](https://vouch.tools/servers/d9e9538a-83de-4ca1-81a1-3345d17ae1e4)