Z.ai

Amazon Bedrock now offers GLM 5.3, Z.ai's 753B-parameter mixture-of-experts model, through managed APIs with cross-Region inference, prompt caching and service tiers. Access is limited to eligible enterprise customers. Pricing and context window were not disclosed in AWS's announcement.

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.

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.

Z.ai has published GLM Flash Latest on OpenRouter, a routing alias that automatically points to the newest checkpoint in the GLM Flash lineup. It supports a 1.31M token context window and multimodal text, image, and video input at $0.07 per 1M input tokens and $0.25 per 1M output tokens.

Z.ai, maker of the GLM model series, has confirmed it is behind Ox Alpha, the mysterious open-weight model that appeared anonymously on OpenRouter and topped benchmark leaderboards. The company will release the model's weights on Wednesday.

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.

A new AI model called Ox Alpha appeared on OpenRouter this week, listed only as being built by an anonymous third-party provider. Speculation about its creator has ranged from Z.ai's GLM models to an unreleased version of Microsoft's MAI, with no confirmation yet.

Z.ai CEO Jie Tang says raw parameter counts no longer predict model quality, pointing to GLM 5.3's benchmark gains that came entirely from reinforcement learning on synthetic long-horizon environments rather than scaling weights. The claim lands alongside a broader reshuffling of agent and legal benchmark leaderboards.

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.

Writer released Palmyra X6, a post-trained variant of Z.ai's open-source GLM-5.2 model, alongside an upgraded agentic harness. The company claims the combination can cut customer token costs by as much as 50% for basic tasks.

Mistral has made regional inference generally available, letting customers route requests through EU or US servers for a 10 percent surcharge, while also launching a paid Priority Tier that charges 1.75x standard pricing for faster processing during peak traffic. Both offerings carry significant limitations on what data and features they actually cover.

Mistral AI has made its Regional Endpoints generally available, letting customers choose EU or US inference, while opening its platform to third-party open models starting with Z.ai's GLM-5.2. The company also announced a coalition of European enterprises committing to long-term compute capacity, targeting up to 1GW by 2030.

A new SaferAI report finds Z.ai's open-weight GLM-5.2 model is only months behind frontier systems like GPT-5.5 and Claude Opus 4.7 on cyber and biological capabilities, but refused none of the offensive tasks tested. Claude Opus 4.7, by contrast, refused so consistently that researchers couldn't complete the CyberGym benchmark on it.

Chinese AI models including DeepSeek and Z.ai have captured over 30% of weekly token usage by U.S. companies on OpenRouter since February 2025, up from 4.5% in the first half of the year. The shift comes as companies seek alternatives 60-90% cheaper than leading models from OpenAI and Anthropic, while Chinese models close the performance gap to within 6-9 months of U.S. frontier systems.

Z.ai's GLM-5.2 performs on par with Claude Opus 4.8 and OpenAI's GPT-5.5 in cybersecurity benchmarks while costing roughly half as much to run. Security evaluations from Graphistry and Semgrep confirm the open-weight model's capabilities in vulnerability discovery and cyber investigation, raising concerns about accessibility of advanced hacking tools.

Z.ai released GLM-5.2 on June 16, 2026, the first open-weight model to match proprietary models like Claude Opus 4.8 on agent benchmarks. The MIT-licensed model closes the performance gap to 6.8 months behind frontier labs, down from expected 9+ months as compute scales.

Z.ai has released GLM-5.2, a model designed for long-horizon engineering tasks with a 1 million token context window. The model is priced at $1.40 per million input tokens and $4.40 per million output tokens, and was released on June 16, 2025.

Z.ai has released GLM-5.1, a model with a 202,752 token context window and significantly improved coding capabilities. The model claims the ability to work autonomously on single tasks for over 8 hours, handling long-horizon projects with continuous planning and execution.