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Most "best AI tools" lists online are affiliate farms. We test tools on real dev workflows — shipping features, debugging production issues, cutting invoice generation time — and write down what actually worked.
Reviews below are grouped by use case. Every review names the version tested, the stack it was tested in, and what the tool could not do. If you see a tool missing, it either failed testing or we have not finished reviewing it yet.
Muse Spark Open is an 816B-parameter open-weight MoE from Meta. Here is the memory arithmetic, what the Muse Model License allows, what the hosted API costs, and when self-hosting actually pays.
DeepSeek-V4.1-Flash-1017 shipped on 17 October with MIT weights and a two-tier price: $0.15 / $0.60 off-peak, $0.30 / $1.20 at peak. Here are the peak hours in IST and US time, three worked monthly bills, and a cron guard that keeps batch jobs off-peak.
Gemini 4 Argon went GA on 13 October at an introductory $2 input / $10 output per 1M tokens. On 1 December every tier doubles. Here is the arithmetic for three workloads, the rival price table, and what to do before the date.
Mistral Large 4 entered public preview on 6 October 2026 as a roughly 1 trillion parameter mixture-of-experts model with open weights promised by the end of the month. Two different prices circulate, and vendor and independent benchmarks tell different stories. This post separates the claims, prices a standard agent run against Haiku 5.5, GPT-6.1 Sol and Gemini 3.5 Flash, and says who should wait for the weights.