OpenCode powers GLM-5 Turbo coding eval

OpenCode's emergence as a de facto coding benchmark platform is a quiet but meaningful signal: the community is converging on real agentic workflows — not toy tasks — to evaluate new models.

• –GLM-5 Turbo targets agentic use cases with a 202K token context window and strong tool-calling support, making OpenCode a fitting stress test
• –OpenCode's provider-agnostic design (75+ LLMs) makes it uniquely suited as a neutral evaluation harness — swap the model, keep the agent loop identical
• –GLM-5 Turbo's backing (Z.ai/Zhipu, trained on Huawei Ascend chips, MIT-licensed flagship at 744B params) makes it a geopolitically notable alternative to OpenAI/Anthropic stacks
• –95K+ stars and 5M monthly developers signals OpenCode has crossed the threshold from niche terminal tool to mainstream AI coding infrastructure
• –The "Income stream surfers" YouTube channel benchmarking GLM-5 Turbo on day one of release shows how fast the community stress-tests new model drops