Compare GLM 5.2 from Z.AI and Ling 3.0 Flash 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
Ling 3.0 FlashGLM-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-3.0-flash is Inclusionai's 124B Mixture-of-Experts (MoE) text model, designed for production-scale agentic inference and token-efficient text generation. Activating approximately 5.1B parameters per token, it offers an extensive 262,144-token context window alongside cost-effective pricing at $0.06 per 1M input, $0.18 per 1M output, and $0.01 per 1M cache tokens.
Prices are per million tokens. Time to First Token and throughput are rolling averages measured on AIHubMix.
Promotional prices show the discounted rate; see each model page for promotion windows.
Daily traffic served through AIHubMix — how demand for each model is trending.
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Estimate your monthly bill for the same workload on each model.
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Ling 3.0 Flash: $0.18/M output tokens; GLM 5.2: $3.9438/M. Use the cost calculator above to estimate your own workload.
GLM 5.2 accepts 1,000,000 and Ling 3.0 Flash accepts 262,144 input tokens.
GLM 5.2 accepts text input and supports thinking, tool calling, function calling and structured outputs; Ling 3.0 Flash accepts text input.
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