Compare GLM 5.2 from Z.AI and inclusionAI/Ling-1T from InclusionAI on key metrics including benchmarks, price, context length, and other model features. Access both models and hundreds of others through the AIHubMix API.
GLM 5.2
inclusionAI/Ling-1TGLM-5.2 is Z.ai’s flagship model for the era of long-horizon tasks. With a truly usable 1M-token context window, it can handle project-level engineering context, execute long-running tasks more reliably, follow engineering standards more consistently, and complete the full development workflow from requirements to multi-platform deployment in a single task.
Ling-1T is the first flagship non-thinking model in the “Ling 2.0” series, featuring 1 trillion total parameters and approximately 50 billion active parameters per token. Built on the Ling 2.0 architecture, Ling-1T is designed to push the limits of efficient inference and scalable cognition. Ling-1T-base was pretrained on over 20 trillion high-quality, reasoning-intensive tokens, supports up to a 128K context length, and incorporates an Evolutionary Chain of Thought (Evo-CoT) process during mid-stage and post-stage training. This training regimen greatly enhances the model’s efficiency and depth of reasoning, enabling Ling-1T to achieve top performance across multiple complex reasoning benchmarks, balancing accuracy and efficiency.
Prices are per million tokens. Time to First Token and throughput are rolling averages measured on AIHubMix.
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inclusionAI/Ling-1T: $2.192/M output tokens; GLM 5.2: $2.524/M. Use the cost calculator above to estimate your own workload.
GLM 5.2 accepts text input and supports thinking, tool calling, function calling and structured outputs; inclusionAI/Ling-1T accepts text input and supports tool calling, function calling and structured outputs.
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