Which AI tool is actually worth your time?
AI Tool Radar reviews AI tools the same way every time: what it is, how to start in 3 steps, what it's genuinely good at, and where it disappoints. No hype, no 2,000-word affiliate filler.
Tools
Every review answers the same five things: what it is, free tier, getting started, best use, honest weaknesses.
3 reviewsLocal AI
Run open-weight models on your own hardware: what fits, what it costs, and what it runs like.
6 guidesLatest reviews
- DeepSeek Review: The Free Chinese AI That Out-Thinks Its Price Tag
DeepSeek is free to use, famous for reasoning and code, and its API pricing made half the internet rewrite its stack. Here's what it's good at in plain terms.
- Doubao Review: The Lowest-Pressure AI to Just *Start* Using
Doubao (by ByteDance, TikTok's owners) is the AI you talk to instead of type at: free, voice-first, draws pictures, and friendly enough to fool beginners.
- GLM-5.3-Flash: the 320B That Fits Because Its Attention Does Not Grow
Zhipu's 320B-total, 18B-active MIT-licensed multimodal MoE is the agentic flagship of the home-AI wave — hybrid linear+sparse attention cut compute ~3× and KV cache to a third, which is exactly why 64 GB boxes can run it.
- How a 100B+ Model Fits in a Gaming PC — what Strata and Project Maya changed
The 2026 local-AI wave is one trick: MoE experts live in RAM, the lookup table lives on SSD, the GPU only touches the active slice. Here's the trick, the numbers, and which engine to run.
- Kimi Review: Throw a Whole Textbook at It
Kimi's party trick is long context: drop in entire PDFs or books and ask questions with page citations. What it's for, and where it falls short.
- MiniMax M3.1-Flash: the 428B 'Space Bunny' Everyone Switched To in October
Open weights October 23, 2026: 428B total, 23B active, native multimodal, 1M context, ~70% cheaper to serve than M3 — the newest member of the home-rack trio.
- Project Maya: the Scheduler That Puts 748B on Your Desk
Open-source (MIT) three-tier engine: hot experts on the GPU, next ones in RAM, the rest on NVMe — moving as you chat. Runs GLM-5.3-Flash, MiniMax-M3.1-Flash and DeepSeek-V4.1-Flash-1017 on hardware you already own.
- Qwen3.8-Flash-Next: the 125B That Made 100B-at-Home a Hobby
The face of the trend: 125B total, multimodal, and packed small enough that a 48 GB PC + any recent GPU runs it at 76–94 tok/s. Exact pack sizes, measured speeds, and which variant to pick.
How we review
Every page answers the same five things: what it is · free tier · getting started · best use · honest weaknesses. Features and prices move fast in this market — where we can't verify, we say so, and the official site always wins.