zhipu-ai

Chinese AI labs leverage distinct organizational approaches to rapidly follow frontier model development, including heavy integration of student researchers, reduced internal conflicts over individual contributions, and cultural emphasis on execution over theoretical debates. Labs like Moonshot AI, 01.ai, and Zhipu AI benefit from researchers focused on meticulous engineering work rather than personal brand building.

Zhipu AI released GLM-5.1, a 754-parameter model optimized for agentic engineering tasks. The model scores 58.4% on SWE-Bench Pro, outperforming Claude 3.5 Sonnet (57.3%), and demonstrates sustained reasoning capability over hundreds of iterations.

Zhipu AI has released GLM-5.1, a freely available open-weight model designed for long-running programming tasks that achieves 58.4% on SWE-Bench Pro, edging out GPT-5.4 (57.7%) and Claude Opus 4.6 (57.3%). The model's core capability is iterative strategy refinement—it rethinks its approach across hundreds of iterations and thousands of tool calls, recognizing dead ends and shifting tactics without human intervention. However, GLM-5.1 trails on reasoning and knowledge benchmarks, scoring 31% on Humanity's Last Exam compared to Gemini 3.1 Pro's 45%.

Zhipu AI has released GLM-5.1, a 754-billion parameter model designed for agentic engineering with significantly improved coding capabilities over its predecessor. The model achieves 58.4% on SWE-Bench Pro and demonstrates sustained performance improvement over hundreds of tool calls and iterations, unlike earlier models that plateau quickly.

Zhipu AI released GLM-5V-Turbo, a multimodal coding model that converts design mockups directly into executable front-end code. The model processes images, video, and text with a 200,000-token context window and 128,000-token max output, priced at $1.20 per million input tokens and $4 per million output tokens.