GLM-5.3-Flash
4 articles tagged with GLM-5.3-Flash
Hugging Face Transformers v5.16.1 Adds Support for GLM-5.3-Flash, a 320B-Parameter Multimodal MoE Model
Hugging Face's transformers v5.16.1 release adds support for GLM-5.3-Flash, a 320B total-parameter (18B active) multimodal mixture-of-experts model. Zhipu AI claims it outperforms GLM-5.2 while approaching Claude Opus 4.8 on coding and agentic benchmarks at one-tenth the cost.
GLM-5.3-Flash and Qwen3.8-Flash-Next Appear on Hugging Face With No Model Cards or Benchmarks Yet Published
Three Hugging Face repositories tied to next-generation GLM and Qwen model lines have appeared online: zai-org/GLM-5.3-Flash, Qwen/Qwen3.8-Flash-Next, and a community GGUF quantization from unsloth. None currently ship with a completed model card, published benchmarks, or pricing.
Zhipu AI Releases GLM-5.3-Flash: First Multimodal Model in GLM-5 Series, 320B Parameters with Only 18B Active
Zhipu AI has released GLM-5.3-Flash, the first natively multimodal model in its GLM-5 series, built on a 320B-parameter mixture-of-experts architecture with only 18B active parameters. The company claims it outperforms GLM-5.2 across benchmarks at one-tenth the cost while approaching Claude Opus 4.8 on coding and agentic tasks.
Z.ai Launches GLM-5.3-Flash With 1M-Token Context and Hybrid Attention Architecture
Z.ai has released GLM-5.3-Flash, a native multimodal model built for coding and long-horizon agent tasks, featuring a 1M-token context window and a hybrid sparse-linear attention architecture. The model is available via OpenRouter at a discounted $0.075/$0.25 per 1M tokens through September 2026.