MiniMax M2.7: 50x cheaper than Opus, 90% of the quality?

Original author：Leo Lumina

Original source：https://www.youtube.com/embed/GEgjRhDbIrA

An open source model with 230 billion parameters, 50 times cheaper than Opus, which self-trained over 100 rounds without human intervention. Too beautiful? I test on two concrete cases: a multi-agent SEO workflow and a one-shot keyword analysis tool. In this video: - MiniMax M2.7: self-training, 230B params, MoE, 205K context - Benchmarks: top 5-10, close to Opus in coding and browser use - KiloCode benchmark: Opus 33/35 vs MiniMax 29/35, for 10 to 20x cheaper - Plans and pricing (unlimited tokens, high speed at $40/month) - Test 1: SEO multi-agent workflow (scraper → editor → validator → correction loop) - Test 2: one-shot SEMrush analysis tool (semantic clustering, quick wins, cannibalization, dashboard) - Result: functional app in 7 min, 50,000 keywords analyzed ⏱️ Timestamps: 00:00 — The promise: 50x cheaper, 90% quality 00:43 — Self-training: +30% performance without humans 01:17 — Specs: 230B params, MoE, 205K context 01:53 — Speed: normal vs high speed (50 vs 100 tokens/sec) 02:28 — Intelligence and coding benchmarks 03:01 — API price vs Opus (10 to 50x less expensive) 04:29 — KiloCode benchmark: Opus 33/35 vs MiniMax 29/35 06:15 — Token and high speed plans 07:56 — Test 1: SEO multi-agent workflow 08:30 — Scraper agent → writer agent → validator agent 11:42 — Automatic correction loop (3 iterations) 13:01 — Result: complete and optimized SEO file 14:30 — Test 2: SEMrush analysis tool in one-shot (build mode) 16:15 — The prompt: clustering, quick wins, cannibalization, dashboard 18:06 — Result in 7 min: import, analysis, graphics 20:08 — Test with 50,000 Cdiscount keywords 21:00 — Quick wins, cannibalization, opportunities detected 22:00 — Verdict: ideal in sub-agent behind Opus 23:00 — Conclusion and next video (all LLMs on the same project) 🔗 Useful links: - MiniMax M2.7: https://www.minimax.io/models/text/m27 --- SEO agents who work for you, for 50 times cheaper. 🔗 Find out more: leolumina.com 📩 Contact: aiconsultive@gmail.com