Compare GLM 5.2 from Z.AI and Qwen3 235B A22B 2507 from Qwen 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
Qwen3 235B A22B 2507GLM-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.
qwen3-235b-a22b-2507 is Qwen's multilingual, instruction-tuned mixture-of-experts language model, designed for general-purpose text generation and instruction following. Built on the Qwen3-235B architecture, it utilizes 22B active parameters per forward pass and features an extensive context window of 262,144 tokens.
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.
Qwen3 235B A22B 2507: $1.4/M output tokens; GLM 5.2: $3.9438/M. Use the cost calculator above to estimate your own workload.
GLM 5.2 accepts 1,000,000 and Qwen3 235B A22B 2507 accepts 262,144 input tokens.
GLM 5.2 accepts text input and supports thinking, tool calling, function calling and structured outputs; Qwen3 235B A22B 2507 accepts text 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.
Related model match-ups readers also look at.