GLM-5.2 matches Opus 4.7 code success at 20% of the cost
snowflake's benchmark shows zhipu's glm-5.2 achieves 66% task success versus anthropic's 67%, challenging western pricing dominance with $4.40 output tokens.
in a 103-task coding benchmark, snowflake found glm-5.2 and anthropic opus 4.7 nearly tied in success rates at 66% and 67% respectively when allowed retries. while glm consumed roughly twice the tokens and was less consistent on first attempts, its low price of $4.40 per million output tokens undercuts western models significantly. this cost-performance trade-off challenges the revenue assumptions of openai and anthropic, potentially threatening the ai infrastructure buildout boom.