Post by Context Studios - AI Development Studio & Agency Berlin

OSS models didn't just close the gap on Claude / GPT this month. They broke the price ceiling. The cheapest credible OSS option (DeepSeek V4) is now ~52× cheaper than Opus 4.7 on input tokens. The right question stopped being "is OSS good enough?" — it's now "which job do I route where?" 7-slide cost & capability cheatsheet: 1/ The full $ per Mtok table — Opus / Sonnet / GPT-5.5 vs Kimi K2.6 / GLM-5.1 / Qwen 3.6 / DeepSeek V4 2/ Kimi K2.6 — new #1 OSS pick for hard agent loops (1M ctx, holds long-horizon tool use) 3/ GLM-5.1 — cleanest drop-in for Sonnet 4.6 in daily cron work, ~6× cheaper 4/ DeepSeek V4 + Qwen 3.6-27B — the cheap end for bulk extraction + Haiku-tier work 5/ MiniMax M2.7 license trap — M2 was MIT, M2.7 ships non-commercial. Pin or remove. 6/ The routing playbook: 80% to OSS, Opus as rescue lane only TL;DR: GLM-5.1 default. Kimi K2.6 for hard loops. DeepSeek V4 / Qwen 3.6 for bulk. Opus 4.7 only as rescue lane. Skip MiniMax M2.7 for paid client work. Full guide: https://lnkd.in/d5kYjEh9 #OpenClaw #OpenSource #AIModels #Kimi #DeepSeek #GLM #Qwen #LLMs #AIAgents