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

Output tokens cost $12.00 per million on gemini-3.1-pro-preview and $5.07 per million on qwen3.8-max. Input tokens cost $2.00 per million on gemini-3.1-pro-preview and $1.69 per million on qwen3.8-max. Cached input tokens are billed at $0.50 per million on gemini-3.1-pro-preview and $0.17 per million on qwen3.8-max. Context windows are 1,000,000 tokens on gemini-3.1-pro-preview and 991,000 tokens on qwen3.8-max. First-token latency measured on AIHubMix is 5.9s on gemini-3.1-pro-preview and 3.5s on qwen3.8-max. Measured output throughput is 79.5 tokens/s on gemini-3.1-pro-preview and 37.1 tokens/s on qwen3.8-max. On the LMArena coding leaderboard gemini-3.1-pro-preview scores 1521 and qwen3.8-max scores 1530.

Googlegemini-3.1-pro-previewQwenqwen3.8-max
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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
qwen3.8-max
Qwen · text → text

Qwen 3.8 Max(qwen3.8-max) is Alibaba Cloud’s flagship native vision-language model, built on a 2.4-trillion-parameter Mixture-of-Experts (MoE) architecture and supporting context windows of up to 1 million tokens. It is well suited for complex multimodal understanding, advanced reasoning, software development, agentic workflows, and long-context processing. At a similar price to Qwen3.7-Max, Qwen3.8-Max delivers significant improvements in reasoning, coding, and agent capabilities, with overall performance comparable to today’s leading models.

Input$1.69 /M
Output$5.07 /M
Details

Specs & Pricing

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

gemini-3.1-pro-preview
qwen3.8-max
Input price
$2.00
$1.69
Output price
$12.00
$5.07
Cache read
$0.50
$0.17
Context window
1,000,000
991,000
Max output
64,000
128,000
Latency (first token)
5.9 s
3.5 s
Throughput
79.5 TPS
37.1 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-previewqwen3.8-max

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

Throughput (TPS)

-

Latency (s)

-

Uptime (%)

-

Arena Scores

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

Text
gemini-3.1-pro-previewqwen3.8-max
1460150015401580
Overall
14851496
Coding
15211530
Math
14921492
Hard prompts
15071518
Instruction following
14811486
Multi-turn
14921507
Creative writing
14791493
Longer query
14981510
Chinese
15301560
English
14891503
Vision
gemini-3.1-pro-previewqwen3.8-max
126013001340
Overall
12781305
OCR
12951319
Diagram
13091331
Homework
13101341
WebDev Arena
gemini-3.1-pro-previewqwen3.8-max
1380148015801680
Overall
14471668
React
14361684
HTML
14981610
Gaming
14671740
Simulations
14711667
Data analytics
14051585

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.

qwen3.8-max
$177 /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?

qwen3.8-max: $5.07/M output tokens; gemini-3.1-pro-preview: $12.00/M. Use the cost calculator above to estimate your own workload.

How do their coding arena scores compare?

qwen3.8-max: 1530; gemini-3.1-pro-preview: 1521 (LMArena coding leaderboard).

Which responds faster?

qwen3.8-max: 3.5s 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 accepts 991,000 input tokens. Maximum output per request is 64,000 tokens on gemini-3.1-pro-preview and 128,000 tokens on qwen3.8-max.

Which one generates tokens faster?

gemini-3.1-pro-preview at 79.5 tokens/s and qwen3.8-max at 37.1 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 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 qwen3.8-max 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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