Compare GLM 5.2 from Z.AI and Qwen3.8 Max 2026 09-02 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
Qwen3.8 Max 2026 09-02GLM-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.
Qwen3.8-Max-0902 (also known as qwen3.8-max-2026-09-02) is a snapshot version of Alibaba Cloud Tongyi Qianwen's qwen3.8-max. It pushes encoding depth further, enabling it to handle more complex engineering-level projects and long-term autonomous development; collaborative agent capabilities are significantly enhanced, performing more confidently in multi-tool orchestration and end-to-end delivery; visual understanding is comprehensively improved, with more sensitive and accurate chart reasoning, document parsing, and multimodal perception. Continuing the 1-million-context window, reasoning modes, and a complete tool ecosystem, it continues to evolve at a higher level of intelligence.
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.
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GLM 5.2: $3.94/M output tokens; Qwen3.8 Max 2026 09-02: $5.07/M. Use the cost calculator above to estimate your own workload.
GLM 5.2: 1.2s time to first token measured on AIHubMix; see the live performance charts above for how each model behaves across the day.
GLM 5.2 accepts 1,000,000 and Qwen3.8 Max 2026 09-02 accepts 991,000 input tokens. Maximum output per request is 128,000 tokens on GLM 5.2 and 128,000 tokens on Qwen3.8 Max 2026 09-02.
GLM 5.2 at 41.9 tok/s and Qwen3.8 Max 2026 09-02 at 31.5 tok/s, measured as output throughput on AIHubMix — a separate metric from time to first token.
GLM 5.2 accepts text input and supports thinking, tool calling, function calling and structured outputs; Qwen3.8 Max 2026 09-02 accepts text input and supports tool calling, function calling, structured outputs, web search, long context and thinking.
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