Z.ai releases GLM-5.2, a 753B-parameter open-weights text-only LLM with 1M token context
The model leads independent open-weights benchmarks but consumes more output tokens per task than peers.
1 source · cross-referenced
- Chinese lab Z.ai released GLM-5.2 as open weights under an MIT license on June 16, 2026, following a subscriber preview on June 13.
- The 753B-parameter MoE model has a 1M token context window and is ranked the leading open-weights model on the Artificial Analysis Intelligence Index v4.1.
- GLM-5.2 uses more output tokens per task than other leading open-weights models, according to Artificial Analysis.
- It ranks second on the Code Arena WebDev leaderboard for front-end web development tasks.
Chinese AI lab Z.ai released GLM-5.2 as open weights under an MIT license on June 16, 2026, after a subscriber preview on June 13. The model is a 753B-parameter mixture-of-experts text-only LLM with 40 active experts and a 1.51TB weight size.
GLM-5.2 expands the context window to 1 million tokens, up from 200,000 in GLM-5.1. It is positioned as a text-only model, while Z.ai maintains a separate vision family (e.g., GLM-5V-Turbo) that is not open weights.
Artificial Analysis reports GLM-5.2 as the leading open-weights model on the Intelligence Index v4.1 with a score of 51, ahead of MiniMax-M3 (44), DeepSeek V4 Pro (max, 44), and Kimi K2.6 (43).
The same evaluation found GLM-5.2 to be token-hungry, using 43k output tokens per task compared to 26k for GLM-5.1 and 24k–37k for peer models.
On the Code Arena WebDev leaderboard, which measures front-end web development tasks including agentic coding workflows, GLM-5.2 ranks second behind Claude Fable 5.
OpenRouter lists GLM-5.2 from nine providers, with most charging $1.40 per million input tokens and $4.40 per million output tokens.
- Jun 20, 2026 · MIT Technology Review — AI
Startup claims sparse-attention LLM rivals top dense models on coding benchmarks
Trust71 - Jun 19, 2026 · arXiv cs.CL
DeepSeek-V4 series introduces two MoE models with million-token context support and efficiency gains
Trust79 - Jun 18, 2026 · OpenAI — News
OpenAI adds spend controls and usage analytics for ChatGPT Enterprise
Trust74