GLM-5.3 Artificial Analysis Benchmarks
Which summary reads better? Pick one — models revealed after.Both summaries are AI-generated.
GLM-5.3 scores 60 on the Intelligence Index—top 5% of 182 models—while costing $4.40 per 1M output tokens, 56% below the median. This lets you ship agentic workflows with near-SOTA reasoning at half the price, but its 170M-token verbosity per task will double your token spend if you don’t add strict output constraints.
GLM-5.3 max delivers top-tier reasoning performance and a 1M token context window at a highly disruptive cost of just $4.40 per million output tokens, which is less than half of the $10.00 median for its class. For production agent architectures, this enables ultra-cheap complex reasoning, but you must aggressively optimize system prompts to constrain output length because the model is exceptionally verbose, generating over double the industry median of output tokens. This extreme verbosity will erode your expected cost savings and increase end-to-end latency if left unmanaged.