Compare GLM 5.2 from Z.AI and Llama 3.3 70B Instruct from Llama 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
Llama 3.3 70B InstructGLM-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.
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.
Measured on real AIHubMix traffic, hourly buckets. Gaps mean no traffic in that hour.
Estimate your monthly bill for the same workload on each model.
Monthly = daily × 30. Discounted rates applied where a promotion is active.
Llama 3.3 70B Instruct: $1.2/M output tokens; GLM 5.2: $2.1691/M. Use the cost calculator above to estimate your own workload.
GLM 5.2 accepts 1,000,000 and Llama 3.3 70B Instruct accepts 131,072 input tokens.
GLM 5.2 accepts text input and supports thinking, tool calling, function calling and structured outputs; Llama 3.3 70B Instruct accepts text input and supports long context.
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