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gemini-3.1-pro-preview vs gpt-5.5

Output tokens cost $12.00 per million on gemini-3.1-pro-preview and $30.00 per million on gpt-5.5. Input tokens cost $2.00 per million on gemini-3.1-pro-preview and $5.00 per million on gpt-5.5. Cached input tokens are billed at $0.50 per million on gemini-3.1-pro-preview and $0.50 per million on gpt-5.5. Context windows are 1,000,000 tokens on gemini-3.1-pro-preview and 1,050,000 tokens on gpt-5.5. First-token latency measured on AIHubMix is 5.9s on gemini-3.1-pro-preview and 5.4s on gpt-5.5. Measured output throughput is 79.5 tokens/s on gemini-3.1-pro-preview and 49.1 tokens/s on gpt-5.5. On the LMArena coding leaderboard gemini-3.1-pro-preview scores 1521 and gpt-5.5 scores 1508.

Googlegemini-3.1-pro-previewOpenAIgpt-5.5
+ Add model 2/4
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
OpenAI
gpt-5.5
OpenAI · text, image → text

GPT-5.5 raises the baseline for complex production workflows. It’s a strong fit for coding use cases, tool-heavy agents, grounded assistants, long-context retrieval, product-spec-to-plan workflows, and customer-facing workflows where execution quality and response polish are critical.

Input$5.00 /M
Output$30.00 /M
Details

Specs & Pricing

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

gemini-3.1-pro-preview
gpt-5.5
Input price
$2.00
$5.00
Output price
$12.00
$30.00
Cache read
$0.50
$0.50
Context window
1,000,000
1,050,000
Max output
64,000
128,000
Latency (first token)
5.9 s
5.4 s
Throughput
79.5 TPS
49.1 TPS
Modalities
textimageaudiovideo
textimage
Features
thinkingtoolsfunction callingstructured outputswebdeepsearchlong context
thinkingfunction callingstructured outputswebtools
Endpoints
chat_completions · gemini_api · claude_api
chat_completions · claude_api · responses

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-previewgpt-5.5

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-previewgpt-5.5

Throughput (TPS)

-

Latency (s)

-

Uptime (%)

-

Arena Scores

LMArena ratings by capability (Bradley-Terry, commonly called Elo). Higher is better.

Text
gemini-3.1-pro-previewgpt-5.5
1420146015001540
Overall
14761485
Coding
15081521
Math
14921499
Hard prompts
14951507
Instruction following
14731481
Multi-turn
14801492
Creative writing
14471479
Longer query
14821498
Chinese
15301530
English
14801489
Vision
gemini-3.1-pro-previewgpt-5.5
126013001340
Overall
12781287
OCR
12951298
Diagram
13091326
Homework
13101329

Source: LMArena (arena.ai) leaderboard, imported by AIHubMix. Models without published ratings are omitted per chart.

Cost Calculator

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

gemini-3.1-pro-preview
$300 /mo
gpt-5.5
$750 /mo

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

FAQ

Which is cheaper: gemini-3.1-pro-preview, gpt-5.5?

gemini-3.1-pro-preview: $12.00/M output tokens; gpt-5.5: $30.00/M. Use the cost calculator above to estimate your own workload.

How do their coding arena scores compare?

gemini-3.1-pro-preview: 1521; gpt-5.5: 1508 (LMArena coding leaderboard).

Which responds faster?

gpt-5.5: 5.4s 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 gpt-5.5 accepts 1,050,000 input tokens. Maximum output per request is 64,000 tokens on gemini-3.1-pro-preview and 128,000 tokens on gpt-5.5.

Which one generates tokens faster?

gemini-3.1-pro-preview at 79.5 tokens/s and gpt-5.5 at 49.1 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; gpt-5.5 accepts text and image input and supports thinking, function calling, structured outputs, web search and tool calling.

Can I call gemini-3.1-pro-preview and gpt-5.5 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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