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All content about GLM, organized for fast scanning.
GLM has made significant advancements with its latest versions, enhancing capabilities in code generation and agent planning. The introduction of GLM-4.7 on Cerebras hardware achieves impressive performance metrics, while GLM-4.6 expands its context to 200,000 tokens, improving efficiency and integration for developers. These developments indicate a strong focus on increasing performance and usability in AI-driven coding solutions.
GLM-4.7 on Cerebras Inference Cloud boosts code generation, agent planning, and long-session reliability for developer workflows. On Cerebras hardware it hits a whopping 1000 tokens per seconds and claims up to 10× price-performance versus Claude Sonnet 4.5.
GLM-4.6 expands context to 200K tokens and improves coding, reasoning, and agent integration. It's about 15% more token-efficient, shows gains over GLM-4.5, and is available via Z.ai API and public hubs.