Compare GLM 5.2 from Z.AI and GPT 4o Transcribe Diarize from OpenAI 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
GPT 4o Transcribe DiarizeGLM-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.
GPT-4o Transcribe Diarize is an automatic speech recognition (ASR) model with built-in speaker diarization, meaning it can associate audio segments in a conversation with different speakers.
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.
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Estimate your monthly bill for the same workload on each model.
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GLM 5.2: $3.94/M output tokens; GPT 4o Transcribe Diarize: $10.00/M. Use the cost calculator above to estimate your own workload.
GLM 5.2 accepts 1,000,000 and GPT 4o Transcribe Diarize accepts 16,000 input tokens. Maximum output per request is 128,000 tokens on GLM 5.2 and 2,000 tokens on GPT 4o Transcribe Diarize.
GLM 5.2 accepts text input and supports thinking, tool calling, function calling and structured outputs; GPT 4o Transcribe Diarize accepts text and audio input and supports thinking, function calling and structured outputs.
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