Benchmarks won't tell you which LLM to use. They'll tell you which one wins a test that isn't your job.
New guide: how to read the benchmarks, what actually matters (cost, speed, context, privacy), and when to self-host vs. use an API.
There's no "best" LLM in 2026 — only the best one for the job in front of you.
So we built the plain-English comparison we wanted: GPT, Claude, Gemini, DeepSeek, Qwen, Kimi, Grok & GLM. What each is actually good at, and what it costs.
Imagine giving a homebuyer everything they actually need to make a decision — in a single dashboard.
That's what we built during this week's MindsHub Office Hours.
A real estate agent came to us with a familiar problem.
Their clients had access to all the standard filters:
-
Imagine representing 10x more job seekers without hiring a single additional recruiter.
That’s what we built during this week’s MindsHub Office Hours.
A recruiting firm came to us with a workflow that looked like this:
- Search ZoomInfo for target companies
- Find the right
Close your laptop, and the agent running on it stops too. That's not a flaw in the agent — it's a flaw in where it lives.
Anton — the open-source AI coworker — runs on MindsHub: a one-click deploy, always-on open-source agent in the cloud.
Hand Anton an outcome — a report, a
Discover Anton — MindsDB’s open-source AI agent for conversational analytics.
This hands-on guide by @burkov shows how to install, connect data sources, and use Anton in practice.
Read here 👇