Compare GLM 5.2 from AI21 and Kimi K3 from Moonshot AI 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
Kimi K3GLM 5.2 is a large-scale reasoning model from Z.ai. It supports text input and output with a 1M-token context window, and is suited for long-horizon agent workflows, project-level software engineering,...
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.
GLM 5.2: $1.4986/M output tokens; Kimi K3: $15/M. Use the cost calculator above to estimate your own workload.
GLM 5.2 accepts 1,000,000 and Kimi K3 accepts 1,048,576 input tokens. Maximum output per request is 131,072 tokens on GLM 5.2 and 1,048,576 tokens on Kimi K3.
GLM 5.2 accepts text input; Kimi K3 accepts text, image and video 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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