RE:CZ

Impact of OpenCode Free Model Removal on Integration Development

AI Tools Development

👤 AI developers, integration engineers, and technical personnel focused on free AI models and cost optimization
This article documents the integration development challenges faced by the author on January 23, 2026, due to OpenCode's removal of the free models GLM-4.7 and MiniMax M2.1. The author notes that remaining models like gpt-5-nano and grok-code perform poorly on summary tasks, eliminating the free advantage, and mentions that CZONE users may need to bring their own models (BYOK). The article also discusses how summary tasks require high model capabilities but are infrequent, making expensive models acceptable, and concludes with anticipation for DeepSeek V4, hoping it will provide a more cost-effective solution.
  • ✨ OpenCode removed the free models GLM-4.7 and MiniMax M2.1
  • ✨ Remaining models like gpt-5-nano and grok-code perform poorly on summary tasks
  • ✨ The free advantage is gone, potentially requiring bring-your-own-model (BYOK)
  • ✨ Summary tasks require models to understand the full text and construct summaries
  • ✨ Tasks are infrequent, making expensive models acceptable
📅 2026-01-23 · 177 words · ~1 min read
  • OpenCode
  • Free Model Removal
  • Integration Development
  • AI Models
  • Summary Tasks
  • DeepSeek V4
  • Cost Issues

It is January 23, 2026, in the afternoon.

I had some bad street food last night, and today I'm physically and mentally exhausted. Still struggling with the integration of OpenCode.

A major blow is that today OpenCode removed the free models GLM-4.7 and MiniMax M2.1. What's left are only models like big-pickle, gpt-5-nano, and grok-code. GLM-4.7 and MiniMax M2.1 were basically usable, while gpt-5-nano and grok-code perform poorly on summary tasks. The advantage of freeloading on OpenCode vanished instantly. Rumor has it that big-pickle is GLM-4.6, but OpenCode's official statement says big-pickle is a secret. It seems BYOK for CZONE users is inevitable; anyway, there's no way I'm paying out of my own pocket (laughs).

CZON has integrated a summary feature that can summarize all files. However, summary tasks place relatively high demands on the model, requiring it to understand the full text, think, and construct a summary. Fortunately, summary tasks aren't frequent, so it's acceptable to use more expensive models for them. Eagerly awaiting the arrival of DeepSeek V4, hoping for a better and cheaper model.

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