Compare gemini-3.1-flash-lite-nothink from Google 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.
gemini-3.1-flash-lite-nothink
Qwen3.8 Maxgemini-3.1-flash-lite is currently Google's latest and most cost-effective model, optimized for large-scale agent-based tasks, translation, and simple data processing.
Qwen3.8-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.
Prices are per million tokens. Time to First Token and throughput are rolling averages measured on AIHubMix.
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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.
gemini-3.1-flash-lite-nothink: $1.5/M output tokens; Qwen3.8 Max: $5.07/M. Use the cost calculator above to estimate your own workload.
gemini-3.1-flash-lite-nothink: 1.4s time to first token measured on AIHubMix; see the live performance charts above for how each model behaves across the day.
gemini-3.1-flash-lite-nothink accepts 1,048,576 and Qwen3.8 Max accepts 1,000,000 input tokens. Maximum output per request is 65,536 tokens on gemini-3.1-flash-lite-nothink and 131,072 tokens on Qwen3.8 Max.
gemini-3.1-flash-lite-nothink at 83.4 tok/s and Qwen3.8 Max at 28.4 tok/s, measured as output throughput on AIHubMix — a separate metric from time to first token.
gemini-3.1-flash-lite-nothink accepts text, image, video, audio and PDF input and supports thinking, tool calling, function calling, structured outputs, web search, deep search and long context; Qwen3.8 Max accepts text, image and video input and supports tool calling, function calling, structured outputs, web search, long context and thinking.
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