Output tokens cost $7.50 per million on gemini-3.6-flash and $1.01 per million on qwen3.8-max-preview. Input tokens cost $1.50 per million on gemini-3.6-flash and $0.34 per million on qwen3.8-max-preview. Cached input tokens are billed at $0.15 per million on gemini-3.6-flash and $0.03 per million on qwen3.8-max-preview. Context windows are 1,048,576 tokens on gemini-3.6-flash and 983,616 tokens on qwen3.8-max-preview. First-token latency measured on AIHubMix is 3.1s on gemini-3.6-flash and 2.4s on qwen3.8-max-preview. Measured output throughput is 123.8 tokens/s on gemini-3.6-flash and 48.1 tokens/s on qwen3.8-max-preview.
gemini-3.6-flash
qwen3.8-max-previewGemini 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 Preview(Qwen3.8-Max-Preview) is the latest-generation foundation model in the Qwen family, packing 2.4T parameters and still evolving. Compared with the previous flagship Qwen 3.7 Max, it delivers major gains in core capabilities like Coding and Cowork (professional productivity), with world-leading performance on complex, long-horizon tasks such as full-stack development, data analysis, and Office workflows. Launch offer: Credits are consumed at just 20% of the standard rate, effectively 5× your usage. Limited time only.
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-preview: $1.01/M output tokens; gemini-3.6-flash: $7.50/M. Use the cost calculator above to estimate your own workload.
qwen3.8-max-preview: 2.4s 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-preview accepts 983,616 input tokens. Maximum output per request is 65,536 tokens on gemini-3.6-flash and 131,072 tokens on qwen3.8-max-preview.
gemini-3.6-flash at 123.8 tokens/s and qwen3.8-max-preview at 48.1 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-preview accepts text and image 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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