Artificial Analysis put GLM-5.3-Flash at index 57 for $0.09 a task, but 90% of its output tokens are reasoning tokens.

Three points behind GLM-5.3 at 60, tying GPT-5.6 Terra and Muse Spark 1.2, at $0.09 per task against $0.68 for GLM-5.3 max (Latent Space). It burned 149M output tokens to run the index, of which 134M were reasoning tokens, more than Kimi K3 at 133M or Qwen3.8 2.4T A95B at 136M at comparable scores. The economics come from $0.15/$0.50 per million in and out, not token frugality. Budget in dollars, not tokens. Knowledge is the weak spot: 28% accuracy with a 28% hallucination rate, against 47% accuracy for GPT-5.6 Terra, while Terminal-Bench v2.1 reaches 84.3%.