Sign in

This Week in AI Tools: Oct 12, 2026

This Week in AI Tools: Oct 12, 2026

Every week we publish what changed across the 1,709 AI tools we have scored, plus a handful worth your attention. This is the issue for Oct 6 - Oct 12, 2026, archived here in full.

This week in AI tools

What we published

Otter.ai Alternatives in 2026: Keep Otter Pro’s 1,200 Minutes a Month for $79.99 a Year Instead of $99.96, or Pay $0 If Every Meeting Is a Video Call

Otter Pro's 1,200 minutes a month cost $99.96 a year; HyNote Pro gives the same 1,200 for $79.99 ($11.99 vs $16.99 monthly). Online-only? Fathom Free is $0. Prices checked 10 October 2026.

Self-Hosting AI Image Models for a Small Business in 2026: Which Weights You Can Sell Without a Licence Fee, and When a $0.27 GPU Beats the API

For a small business self-hosting image generation, the licence decides more of the bill than the GPU. FLUX.2 [klein] 4B is Apache-2.0 and free to sell from; its 9B sibling, FLUX.2 [dev] and FLUX.1 [dev] are non-commercial. Stability AI and Midjourney both end "free" at exactly $1,000,000 of revenue. A $0.27 Runpod A5000 beats the $0.014 API image only above 19.3 images an hour. Every figure read on 25 September 2026.

Fine-Tuning an LLM in 2026: The Same 30-Million-Token Run Bills $12 or $90, and One Platform Google Recommends Has Redirected Its Whole Domain to Another Company

A LoRA supervised fine-tune of gpt-oss-20B on 30 million training tokens bills $12.00 on Together AI and $90.00 on Fireworks AI, because one prices per model and the other prices in parameter bands with a six-fold step at 16 billion. Of the managed platforms Google names, Predibase now redirects its whole domain to another company and OpenAI has closed fine-tuning to new users. The same H100 hour runs $1.99 to $8.00. Every figure read on 18 September 2026.

Best Open Source LLM Serving Stacks in 2026: Hugging Face Archived TGI and Named Its Replacements, and One Identical Model Bills $0.17 or $0.95 per Million Output Tokens Depending on Who Runs It

Hugging Face archived text-generation-inference, the stack Google still ranks fourth for this query, and its README now points at vLLM and SGLang. Then we priced one identical open-weight model across every provider publishing a rate on 17 September 2026: $0.17 to $0.95 per million output tokens, and at the one rate 8 of them share, throughput runs 15 to 259 tokens a second. The same H100 hour runs $2.89 to $8.00.

Self-Hosted vs Managed Vector Search in 2026: What a RAG Team’s First Million Vectors Really Costs, $76 to $400 a Month, and Why Every Advertised Per-Vector Rate Is a Full-Capacity Rate

All five managed vector services Google names, each asked through its own pricing calculator on 16 September 2026 for the same one million 768-dimensional vectors. The answers ran $50 to $400 a month. Every advertised per-vector rate turns out to be a full-capacity rate: the cluster type Zilliz advertises at $5 per million returns $189.44, the dearest of its three. Reads are 99.7 percent of a real search bill and storage is 0.2 percent. Qdrant Cloud still publishes no rate on its pricing page; its calculator says $76.48.

New to the catalogue

Tools worth your time

Five worth your time

Tool Category Score
LangChain AI Agents 8.4/10
SiteSpeakAI AI Assistant 8.3/10
Supabase AI Coding 8/10
CrawlRaven SEO 8/10
RewriteBar Productivity 8/10

LangChain. The agent engineering platform.

SiteSpeakAI. Train your AI agent on your site, docs, PDFs, and videos. It captures leads, books meetings, looks up orders, and escalates the rest. 95+ languages. One line of code.

Supabase. The Postgres development platform. Supabase gives you a dedicated Postgres database to build your web, mobile, and AI applications.

CrawlRaven. CrawlRaven joins Search Console, GA4, and your Ahrefs or Semrush lists to a 200-point crawl: what to write, what to update, what to fix first. Free for one site.

RewriteBar. RewriteBar is a macOS AI writing assistant. Fix grammar, translate to 500+ languages, and enhance your writing in any app with AI-powered actions.

The honest limit

Our score for each of the 1,709 tools measures what a careful reader can check: public pricing, documentation, maintenance, and for open source the GitHub record. It does not measure whether a tool is pleasant to use or right for you. How the score works.

We sell no rankings

Want this in your inbox each week? Create a free account and it comes with it. We sell no rankings, and every affiliate link is labelled.

Comments

Sign in to join the discussion.

Login to comment