Zhipu AI has released GLM-5.2, a 744B-parameter Mixture-of-Experts model featuring a 1 million token context window and MIT-licensed weights. This model achieves a high ranking on the BenchLM leaderboard and demonstrates strong performance on coding benchmarks, positioning it as a leading open-source option that rivals proprietary models like Claude Opus 4.8 and GPT-5.5. However, the article highlights that the expansive context window, while powerful, can lead to significantly increased API costs if not managed carefully, urging developers to optimize token usage. AI
IMPACT Sets new SOTA on coding benchmarks for open-source models, potentially lowering costs for long-context tasks if managed efficiently.
RANK_REASON Frontier-lab model release with system card [lever_c_demoted from frontier_release: ic=1 ai=1.0]
- BenchLM
- Claude
- Claude Opus 4.8
- FrontierSWE
- GLM-5.2
- GPT-4
- GPT-5.5
- MIT
- PostTrainBench
- SWE-bench Pro
- SWE-Marathon
- Terminal-Bench 2.1
- Zhipu AI
AI-generated summary · Google Gemini · from 1 sources. How we write summaries →