Output tokens cost $7.50 per million on gemini-3.6-flash and $5.07 per million on qwen3.8-max. Input tokens cost $1.50 per million on gemini-3.6-flash and $1.69 per million on qwen3.8-max. Cached input tokens are billed at $0.15 per million on gemini-3.6-flash and $0.17 per million on qwen3.8-max. Context windows are 1,048,576 tokens on gemini-3.6-flash and 991,000 tokens on qwen3.8-max. First-token latency measured on AIHubMix is 3.1s on gemini-3.6-flash and 3.5s on qwen3.8-max. Measured output throughput is 123.8 tokens/s on gemini-3.6-flash and 37.1 tokens/s on qwen3.8-max.
gemini-3.6-flash
qwen3.8-maxGemini 3.6 Flash provides sustained frontier-level intelligence optimized for real-world tasks at a higher speed and lower cost. Designed for the agentic era, it excels at code generation, agentic execution, and spatial reasoning. This model is particularly effective for rapid agentic loops involving complex coding cycles and iterations.
Qwen 3.8 Max(qwen3.8-max) is Alibaba Cloud’s flagship native vision-language model, built on a 2.4-trillion-parameter Mixture-of-Experts (MoE) architecture and supporting context windows of up to 1 million tokens. It is well suited for complex multimodal understanding, advanced reasoning, software development, agentic workflows, and long-context processing. At a similar price to Qwen3.7-Max, Qwen3.8-Max delivers significant improvements in reasoning, coding, and agent capabilities, with overall performance comparable to today’s leading models.
Prices are per million tokens. Latency 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.
qwen3.8-max: $5.07/M output tokens; gemini-3.6-flash: $7.50/M. Use the cost calculator above to estimate your own workload.
gemini-3.6-flash: 3.1s first-token latency measured on AIHubMix; see the live performance charts above for how each model behaves across the day.
gemini-3.6-flash accepts 1,048,576 and qwen3.8-max accepts 991,000 input tokens. Maximum output per request is 65,536 tokens on gemini-3.6-flash and 128,000 tokens on qwen3.8-max.
gemini-3.6-flash at 123.8 tokens/s and qwen3.8-max at 37.1 tokens/s, measured as output throughput on AIHubMix — a separate metric from first-token latency.
gemini-3.6-flash accepts text, image, audio and video input and supports thinking, tool calling, function calling, structured outputs, web search and long context; qwen3.8-max accepts text input and supports tool calling, function calling, structured outputs, web search, long context and thinking.
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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