Compare GLM 5.2 from Z.AI and Mistral Large 4.0 from Mistral 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
Mistral Large 4.0GLM-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.
Mistral Large 4 is Mistral AI’s frontier multimodal model with text and image input, designed for complex reasoning, coding, and agentic workflows. It supports tool calling and structured outputs, with a 512K-token context window and up to 256K output tokens, making it well suited for long-context and multi-step tasks. Compared with earlier Mistral large models, Mistral Large 4 places greater emphasis on multimodal understanding, extended context, and agentic execution.
Prices are per million tokens. Time to First Token and throughput are rolling averages measured on AIHubMix.
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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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GLM 5.2: $3.9438/M output tokens; Mistral Large 4.0: $4.18/M. Use the cost calculator above to estimate your own workload.
GLM 5.2 accepts 1,000,000 and Mistral Large 4.0 accepts 524,000 input tokens.
GLM 5.2 accepts text input and supports thinking, tool calling, function calling and structured outputs; Mistral Large 4.0 accepts text and image input.
Yes. AIHubMix serves every model on this page behind one OpenAI-compatible endpoint, so switching between them is a one-line change to the model field — no second account, key or SDK.
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