Z.ai head Zixuan Li introduced GLM-5.2 in a talk, positioning the open-weight model between Claude Opus 4.7 and 4.8 on long-horizon coding and agentic benchmarks. He argued open weights let enterprises, governments, and fine-tuning customers run and shape models on their own infrastructure. He also announced Z Code, Z.ai's own coding harness built for GLM-5.2 and compatible with other frontier models.
A new SaferAI report finds Z.ai's open-weight GLM-5.2 is only months behind frontier models on cyber and bio capabilities, but its safety practices lag significantly. The evaluation, run via Z.ai's public API, shows GLM-5.2 refused none of the dangerous requests tested, highlighting a growing divide between capability and safety.
A new SaferAI report finds Z.ai's open-weight GLM-5.2 is only months behind frontier models on cyber and bio capabilities, but its safety practices lag significantly. The evaluation, run via Z.ai's public API, shows GLM-5.2 refused none of the dangerous requests tested, highlighting a growing divide between capability and safety.
Z.ai announced GLM-5.3, an open-weight model built on the same mixture-of-experts base as GLM-5.2, with all gains from extended post-training. It scores 84.5% on CyberGym, edging Claude Mythos 5 and GPT-5.6 Sol, and shows large jumps on Terminal-Bench 3.0 and DeepSWE v1.1. The company is holding back weights for a cyber safety review.
Z.ai announced GLM-5.3, an open-weight model built on the same mixture-of-experts base as GLM-5.2, with all gains from extended post-training. It scores 84.5% on CyberGym, edging Claude Mythos 5 and GPT-5.6 Sol, and shows large jumps on Terminal-Bench 3.0 and DeepSWE v1.1. The company is holding back weights for a cyber safety review.
Z.ai released GLM-5.3-Flash, the first natively multimodal model in the GLM-5 series and the first open-weight release of the glm5_next architecture. The model is positioned as outperforming GLM-5.2 at one-tenth the price while approaching Claude Opus 4.8 on coding and agentic benchmarks. It introduces a hybrid sparse and linear architecture.
Z.ai released GLM-5.3-Flash, the first natively multimodal model in the GLM-5 series and the first open-weight release of the glm5_next architecture. The model is positioned as outperforming GLM-5.2 at one-tenth the price while approaching Claude Opus 4.8 on coding and agentic benchmarks. It introduces a hybrid sparse and linear architecture.
Writer introduced Palmyra X6, a new flagship model built as a post-training variation of Z.ai's open-source GLM-5.2, aiming to provide deployment-ready capabilities at lower per-token costs. The launch responds to growing industry pressure to reduce AI deployment expenses.
Writer introduced Palmyra X6, a new flagship model built as a post-training variation of Z.ai's open-source GLM-5.2, aiming to provide deployment-ready capabilities at lower per-token costs. The launch responds to growing industry pressure to reduce AI deployment expenses.
Mistral began hosting Z.ai's GLM-5.2 on its platform, pricing it cheaper than its own flagship Mistral Medium 3.5. The move is notable because the two companies are competitors, and it may signal a strategic shift toward selling compute and specialized models rather than pursuing frontier development.
Mistral began hosting Z.ai's GLM-5.2 on its platform, pricing it cheaper than its own flagship Mistral Medium 3.5. The move is notable because the two companies are competitors, and it may signal a strategic shift toward selling compute and specialized models rather than pursuing frontier development.