Compare DeepSeek R1 from DeepSeek and GLM 5.2 from Z.AI on key metrics including benchmarks, price, context length, and other model features. Access both models and hundreds of others through the AIHubMix API.
DeepSeek R1
GLM 5.2DeepSeek R1 is a new open-source model with performance on par with OpenAI's o1 and features fully open reasoning tokens. It is a 671B-parameter Mixture-of-Experts (MoE) model that activates 37B parameters during inference.
GLM-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.
DeepSeek R1: $2.00/M output tokens; GLM 5.2: $3.94/M. Use the cost calculator above to estimate your own workload.
DeepSeek R1: 1.0s time to first token measured on AIHubMix; see the live performance charts above for how each model behaves across the day.
DeepSeek R1 accepts 1,638,000 and GLM 5.2 accepts 1,000,000 input tokens. Maximum output per request is 1,638,000 tokens on DeepSeek R1 and 128,000 tokens on GLM 5.2.
DeepSeek R1 at 68.4 tok/s and GLM 5.2 at 33.5 tok/s, measured as output throughput on AIHubMix — a separate metric from time to first token.
DeepSeek R1 accepts text input and supports tool calling, function calling and structured outputs; GLM 5.2 accepts text input and supports thinking, tool calling, function calling and structured outputs.
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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