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gemini-3.1-pro-preview vs gemini-3.6-flash

Output tokens cost $12.00 per million on gemini-3.1-pro-preview and $7.50 per million on gemini-3.6-flash. Input tokens cost $2.00 per million on gemini-3.1-pro-preview and $1.50 per million on gemini-3.6-flash. Cached input tokens are billed at $0.50 per million on gemini-3.1-pro-preview and $0.15 per million on gemini-3.6-flash. Context windows are 1,000,000 tokens on gemini-3.1-pro-preview and 1,048,576 tokens on gemini-3.6-flash. First-token latency measured on AIHubMix is 5.9s on gemini-3.1-pro-preview and 3.1s on gemini-3.6-flash. Measured output throughput is 79.5 tokens/s on gemini-3.1-pro-preview and 123.8 tokens/s on gemini-3.6-flash.

Googlegemini-3.1-pro-previewGooglegemini-3.6-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
Google
gemini-3.6-flash
Google · text, image, audio, video → text

Gemini 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.

Input$1.50 /M
Output$7.50 /M
Details

Specs & Pricing

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

gemini-3.1-pro-preview
gemini-3.6-flash
Input price
$2.00
$1.50
Output price
$12.00
$7.50
Cache read
$0.50
$0.15
Context window
1,000,000
1,048,576
Max output
64,000
65,536
Latency (first token)
5.9 s
3.1 s
Throughput
79.5 TPS
123.8 TPS
Modalities
textimageaudiovideo
textimageaudiovideo
Features
thinkingtoolsfunction callingstructured outputswebdeepsearchlong context
thinkingtoolsfunction callingstructured outputsweblong context
Endpoints
chat_completions · gemini_api · claude_api
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-previewgemini-3.6-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-previewgemini-3.6-flash

Throughput (TPS)

-

Latency (s)

-

Uptime (%)

-

Cost Calculator

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

gemini-3.6-flash
$203 /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, gemini-3.6-flash?

gemini-3.6-flash: $7.50/M output tokens; gemini-3.1-pro-preview: $12.00/M. Use the cost calculator above to estimate your own workload.

Which responds faster?

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.

How large is each context window?

gemini-3.1-pro-preview accepts 1,000,000 and gemini-3.6-flash accepts 1,048,576 input tokens. Maximum output per request is 64,000 tokens on gemini-3.1-pro-preview and 65,536 tokens on gemini-3.6-flash.

Which one generates tokens faster?

gemini-3.6-flash at 123.8 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; 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.

Can I call gemini-3.1-pro-preview and gemini-3.6-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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