GLM-5.3

Anthropic's Frontier Red Team reports that Zhipu AI's open-weight GLM-5.3 comes close to Claude Mythos Preview on cyber exploit benchmarks, scoring 50/410 vs 56/410 on ExploitBench. Unlike Mythos Preview, GLM-5.3 shipped without effective safeguards and can be jailbroken with simple prompting tricks or abliteration.

Anthropic's Frontier Red Team reports that Zhipu AI's GLM-5.3 achieved full control flow hijacks in 4% of binary exploitation trials, versus 6% for Claude Mythos Preview. Predecessor models Claude Opus 4.6 and GLM-5.2 scored zero, marking what Anthropic calls a crossed threshold in offensive cyber capability.

Z.ai has released GLM-5.3-Prime, a high-speed variant of its GLM-5.3 model that delivers 1.5-2x the output throughput through inference acceleration while retaining the full 1M-token context window. The model is priced at $2.80 per 1M input tokens and $8.80 per 1M output tokens, targeting coding and long-horizon agentic workloads.

A briefing prepared for Congress by AI researcher Nathan Lambert details how Chinese open-weight models have overtaken American counterparts since mid-2025, with a nearly 2x lead in Hugging Face downloads and a 19-22 point gap on the Artificial Analysis Intelligence Index.

Z.ai has released GLM-5.3-FlashX, a high-speed variant of GLM-5.3-Flash built on a hybrid sparse and linear attention architecture with 320B total parameters (18B active). The model supports a 1M-token context window and claims inference speeds of up to 200 tokens per second.

A new industry analysis argues the performance gap between Chinese and Western AI models has narrowed to single-digit differences on broad benchmarks. Moonshot's Kimi K3 and Zhipu's GLM-5.3 now trail OpenAI and Anthropic's top models by only a few points on the Artificial Analysis Intelligence Index, with a clear Western edge remaining only in abstract reasoning, output reliability, and offensive cybersecurity capability.

Z.ai's GLM-5.3 ties Kimi K3 for the top spot among open models on the Artificial Analysis Intelligence Index, driven by a major leap in agentic task performance. The company is delaying the open-weight release by about two weeks, citing the model's unusually strong vulnerability-detection capabilities.

Z.ai has released GLM-5.3, a large-scale reasoning model aimed at software engineering and long-horizon agent tasks, featuring a 1M-token context window and mandatory reasoning that cannot be disabled. The model is priced at $1.40 per 1M input tokens and $4.40 per 1M output tokens on OpenRouter.

Z.ai released GLM-5.3, a coding-focused model built on the same base as GLM-5.2 but with substantially extended post-training, and claims it surpasses Moonshot AI's Kimi K3 on many agentic coding benchmarks despite having roughly a third of the parameters. The model is live in Z.ai's coding plan now, with API and open-weight Hugging Face access expected within two weeks.

Z.ai released GLM-5.3, available now in its coding plan, with API access and open weights on Hugging Face to follow within two weeks. The company says the model matches or beats larger frontier systems on agentic coding benchmarks using the same base checkpoint as GLM-5.2, with all gains coming from expanded post-training.

Zhipu AI has released GLM-5.3, a coding-focused model built on the same base as GLM-5.2 with additional post-training. The company claims it's the strongest open-weights coding model available, with gains concentrated in agentic and cybersecurity tasks, though independent benchmarks are not yet published.