Zhipu's latest visual reasoning model achieves state-of-the-art visual understanding accuracy at the same scale upon release. It natively supports tool invocation, can automatically complete tasks, supports ultra-long 128K context length, and allows flexible toggling of reasoning.
GLM 4.6 Vision vs Qwen3.8 Max
Compare GLM 4.6 Vision from Z.AI and Qwen3.8 Max 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 4.6 VisionQwen3.8-Max is Alibaba Cloud Tongyi Qianwen's next-generation flagship large language model, featuring a mixture-of-experts (MoE) architecture with 2.4 trillion parameters. It achieves another breakthrough in encoding depth, enabling it to handle more complex engineering-grade 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.
Pricing & Specifications
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.
Activity Past 30 Days
Daily traffic served through AIHubMix — how demand for each model is trending.
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Performance Past 3 Days
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Throughput (tok/s)
TTFT (s)
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LMArena Benchmarks
LMArena ratings by capability (Bradley-Terry, commonly called Elo). Higher is better.
Source: LMArena (arena.ai) leaderboard, imported by AIHubMix. Models without published ratings are omitted per chart.
Cost calculator
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Monthly = daily × 30. Discounted rates applied where a promotion is active.
FAQ
Which is cheaper: GLM 4.6 Vision, Qwen3.8 Max?
GLM 4.6 Vision: $0.411/M output tokens; Qwen3.8 Max: $5.07/M. Use the cost calculator above to estimate your own workload.
How large is each context window?
GLM 4.6 Vision accepts 131,072 and Qwen3.8 Max accepts 1,000,000 input tokens. Maximum output per request is 32,768 tokens on GLM 4.6 Vision and 131,072 tokens on Qwen3.8 Max.
What inputs and capabilities does each model support?
GLM 4.6 Vision accepts text, image and video input; Qwen3.8 Max accepts text, image and video input and supports tool calling, function calling, structured outputs, web search, long context and thinking.
Can I call GLM 4.6 Vision and Qwen3.8 Max with the same API key?
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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