GLM-5.2 is an open-weights coding model with a 753B-parameter MoE architecture that scores 62.1 on SWE-bench Pro and costs $1.40 per 1M input tokens, making it significantly cheaper than GPT-5.5 and Claude Opus 4.8 for high-volume coding tasks.
GLM-5.2 Benchmark vs GPT-5.5, Claude Opus 4.8 and Gemini 3.1 Pro
calendar_today
June 18, 2026
domain
eden-ai