Models

gemini-3.1-pro-preview vs qwen3.8-max-preview

Output tokens cost $12.00 per million on gemini-3.1-pro-preview and $1.01 per million on qwen3.8-max-preview. Input tokens cost $2.00 per million on gemini-3.1-pro-preview and $0.34 per million on qwen3.8-max-preview. Cached input tokens are billed at $0.50 per million on gemini-3.1-pro-preview and $0.03 per million on qwen3.8-max-preview. Context windows are 1,000,000 tokens on gemini-3.1-pro-preview and 983,616 tokens on qwen3.8-max-preview. First-token latency measured on AIHubMix is 5.9s on gemini-3.1-pro-preview and 2.4s on qwen3.8-max-preview. Measured output throughput is 79.5 tokens/s on gemini-3.1-pro-preview and 48.1 tokens/s on qwen3.8-max-preview.

Googlegemini-3.1-pro-previewQwenqwen3.8-max-preview
Google
gemini-3.1-pro-preview
Google · text, image, audio, video → text

Gemini 3.1 Pro Preview is designed to further optimize the performance and reliability of the Gemini 3 Pro series, offering improved reasoning capabilities, greater token efficiency, and a more robust, factually consistent user experience. It is optimized for software-engineering behaviors and usability, and is also suitable for agent workflows that require precise tool invocation and reliable multi-step execution, enabling stable operation across a variety of real-world scenarios.

Input$2.00 /M
Output$12.00 /M
Qwen
qwen3.8-max-preview
Qwen · text, image → text

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.

Input$0.34 /M
Output$1.01 /M

Specs & Pricing

Prices are per million tokens. Latency and throughput are rolling averages measured on AIHubMix.

gemini-3.1-pro-preview
qwen3.8-max-preview
Input price
$2.00
$0.34
Output price
$12.00
$1.01
Cache read
$0.50
$0.03
Context window
1,000,000
983,616
Max output
64,000
131,072
Latency (first token)
5.9 s
2.4 s
Throughput
79.5 TPS
48.1 TPS
Modalities
textimageaudiovideo
textimage
Features
thinkingtoolsfunction callingstructured outputswebdeepsearchlong context
toolsfunction callingstructured outputsweblong contextthinking
Endpoints
chat_completions · gemini_api · claude_api

Promotional prices show the discounted rate; see each model page for promotion windows.

Usage on AIHubMix last 30 days

Daily traffic served through AIHubMix — how demand for each model is trending.

gemini-3.1-pro-previewqwen3.8-max-preview

Tokens / day

-

Requests / day

-

Live Performance last 3 days

Measured on real AIHubMix traffic, hourly buckets. Gaps mean no traffic in that hour.

gemini-3.1-pro-previewqwen3.8-max-preview

Throughput (TPS)

-

Latency (s)

-

Uptime (%)

-

Cost Calculator

Estimate your monthly bill for the same workload on each model.

qwen3.8-max-preview
$35.49 /mo
gemini-3.1-pro-preview
$300 /mo

Monthly = daily × 30. Discounted rates applied where a promotion is active.

FAQ

Which is cheaper: gemini-3.1-pro-preview, qwen3.8-max-preview?

qwen3.8-max-preview: $1.01/M output tokens; gemini-3.1-pro-preview: $12.00/M. Use the cost calculator above to estimate your own workload.

Which responds faster?

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.

How large is each context window?

gemini-3.1-pro-preview accepts 1,000,000 and qwen3.8-max-preview accepts 983,616 input tokens. Maximum output per request is 64,000 tokens on gemini-3.1-pro-preview and 131,072 tokens on qwen3.8-max-preview.

Which one generates tokens faster?

gemini-3.1-pro-preview at 79.5 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.

What inputs and capabilities does each model support?

gemini-3.1-pro-preview accepts text, image, audio and video input and supports thinking, tool calling, function calling, structured outputs, web search, deep 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.

Can I call gemini-3.1-pro-preview and qwen3.8-max-preview 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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