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gemini-3.1-pro-preview vs qwen3.7-flash

Output tokens cost $12.00 per million on gemini-3.1-pro-preview and $1.13 per million on qwen3.7-flash. Input tokens cost $2.00 per million on gemini-3.1-pro-preview and $0.28 per million on qwen3.7-flash. Cached input tokens are billed at $0.50 per million on gemini-3.1-pro-preview and $0.06 per million on qwen3.7-flash. Context windows are 1,000,000 tokens on gemini-3.1-pro-preview and 991,000 tokens on qwen3.7-flash. First-token latency measured on AIHubMix is 5.9s on gemini-3.1-pro-preview and 2.1s on qwen3.7-flash. Measured output throughput is 79.5 tokens/s on gemini-3.1-pro-preview and 104.1 tokens/s on qwen3.7-flash.

Googlegemini-3.1-pro-previewQwenqwen3.7-flash
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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
Details
Qwen
qwen3.7-flash
Qwen · text → text

The Qwen 3.7 series' mid-to-high cost-performance "Plus" model builds on strong text capabilities with a comprehensive upgrade to vision-language abilities, while retaining full agent capabilities in coding, tool use, and productivity workflows. Its core features are multimodal interactive hybrid agent capabilities, able to perceive real-world scenes, read screens and operate GUIs, generate code based on visual references, and provide end-to-end navigation of mobile applications.

Input$0.28 /M
Output$1.13 /M
Details

Specs & Pricing

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

gemini-3.1-pro-preview
qwen3.7-flash
Input price
$2.00
$0.28
Output price
$12.00
$1.13
Cache read
$0.50
$0.06
Context window
1,000,000
991,000
Max output
64,000
64,000
Latency (first token)
5.9 s
2.1 s
Throughput
79.5 TPS
104.1 TPS
Modalities
textimageaudiovideo
text
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-previewqwen3.7-flash

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-previewqwen3.7-flash

Throughput (TPS)

-

Latency (s)

-

Uptime (%)

-

Cost Calculator

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

qwen3.7-flash
$33.84 /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, qwen3.7-flash?

qwen3.7-flash: $1.13/M output tokens; gemini-3.1-pro-preview: $12.00/M. Use the cost calculator above to estimate your own workload.

Which responds faster?

qwen3.7-flash: 2.1s 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 qwen3.7-flash accepts 991,000 input tokens. Maximum output per request is 64,000 tokens on gemini-3.1-pro-preview and 64,000 tokens on qwen3.7-flash.

Which one generates tokens faster?

qwen3.7-flash at 104.1 tokens/s and gemini-3.1-pro-preview at 79.5 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; qwen3.7-flash accepts text input and supports tool calling, function calling, structured outputs, web search, long context and thinking.

Can I call gemini-3.1-pro-preview and qwen3.7-flash 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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