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Gemini 3.1 Pro Preview vs Qwen3 Max

GoogleQwenboth via one key, provider price + 3%

Gemini 3.1 Pro Preview is Google's newer frontier model (released Feb 2026) with native audio/video/image input and mandatory reasoning. Qwen3 Max is Alibaba's September 2025 text-only model, cheaper and simpler, with no forced reasoning step. Both are available on OpenKey with one API key and a flat 3% fee over provider list price. The gap that matters: Gemini costs more but benchmarks higher across every Design Arena category both models were scored on.

Spec vs spec

SpecGemini 3.1 Pro PreviewQwen3 Max
Context window1.0M262K
Max output66K33K
Input modalitiesaudio, file, image, text, videotext
Output modalitiestexttext
Knowledge cutoffJun 30, 2025
ReleasedFeb 19, 2026Sep 23, 2025
Reasoningalways onoptional

Pricing

Per 1M tokens. Provider price plus the flat 3% fee — the sum is what you pay.

openkey.ai

google/gemini-3.1-pro-preview

Input · 1M tokens

$2.00 + 3%$2.06

Output · 1M tokens

$12.00 + 3%$12.36

Cache read · 1M tokens

$0.200 + 3%$0.206

Cache write · 1M tokens

$0.375 + 3%$0.386

FEE — FLAT, EVERY MODEL3%

openkey.ai

qwen/qwen3-max

Input · 1M tokens

$0.780 + 3%$0.803

Output · 1M tokens

$3.90 + 3%$4.02

Cache read · 1M tokens

$0.156 + 3%$0.161

Cache write · 1M tokens

$0.975 + 3%$1.00

FEE — FLAT, EVERY MODEL3%

One workload, priced on both

10M input + 2M output tokens at each model's price, flat 3% fee included.

google/gemini-3.1-pro-preview

$45.32

$44.00 provider + 3%

qwen/qwen3-maxCheaper

$16.07

$15.60 provider + 3%

Benchmarks

Design Arena categories where both models have results. Higher Elo and lower rank win.

Gemini 3.1 Pro PreviewQwen3 Max
CategoryEloRankEloRank
3D1303#171150#62
ASCII art1314#41175#32
Code1290#181159#66
Data viz1270#201149#64
Game dev1264#261160#62
SVG1347#21069#60
UI components1322#81132#67
Websites1294#151161#66

Head-to-head preference voting. How we filter and rank

Pricing math

Gemini 3.1 Pro Preview costs $2.00/M input and $12.00/M output at the provider level; on OpenKey that's $2.06/M input and $12.36/M output (provider price × 1.03). Qwen3 Max is $0.78/M input and $3.90/M output provider-side, or $0.8034/M and $4.017/M on OpenKey.

For a workload of 10M input tokens + 2M output tokens: Gemini runs **$44.00**, Qwen3 Max runs **$15.60**. That's a 2.56x gap on input pricing alone. If you're processing high volumes of straightforward text (summarization, classification, extraction), the Qwen3 Max bill adds up to less than half of Gemini's over time. If you're running agentic workflows where output quality determines whether you need a second pass, the gap narrows fast in practice even though it looks stark on paper.

Coding and agentic performance

Gemini 3.1 Pro Preview posts a coding index of 68.8 and an agentic index of 21.4 on artificial_analysis benchmarks — Qwen3 Max has no artificial_analysis scores in this dataset for direct comparison. On Design Arena's agent categories, Gemini ranks 5th in agenticHtmlSlides (elo 1226), 6th in godotGameDev (elo 1220), and 8th in agenticGameDev (elo 1149). Qwen3 Max wasn't scored in the agents arena at all here — its Design Arena data is limited to the models arena (raw code/UI generation), where it trails Gemini in every category: codeCategories rank 66 vs Gemini's rank 18, website rank 66 vs rank 15.

Context and modality

Gemini 3.1 Pro Preview supports 1,048,576 tokens of context against Qwen3 Max's 262,144 — a 4x ratio. Max output is also larger: 65,536 tokens versus 32,768. For long-document work (full codebases, large PDFs, multi-hour transcripts), Gemini's window gives you more headroom before you need chunking logic.

Modality is the bigger differentiator: Gemini accepts audio, file, image, text, and video input; Qwen3 Max is text-only in and out. If your pipeline touches images, video frames, or audio transcripts directly, Qwen3 Max is out unless you add a separate transcription/captioning step first.

When to pick each

Pick Gemini 3.1 Pro Preview when the task needs multimodal input, a context window past 262K tokens, or the highest available benchmark scores in coding (index 68.8) and agentic tasks (index 21.4). Pick Qwen3 Max when you're running high-token-volume text pipelines where the 2.56x input price gap and 2.82x output price gap ($12.00/M vs $3.90/M provider-side) compound into real savings, and where mandatory reasoning overhead isn't worth the latency or cost. Qwen3 Max also has no forced reasoning step — useful if you want deterministic, fast responses without a reasoning trace.

Which model for which job

Use casePickWhy
Large codebase refactor (multi-file context)Gemini 3.1 Pro Preview1,048,576 token context vs 262,144 — 4x more room before chunking
High-volume text classification/extractionQwen3 Max$15.60 vs $44.00 for a 10M-in/2M-out workload
Multimodal document processing (images, audio, video)Gemini 3.1 Pro PreviewOnly model of the two with audio/image/video/file input support
Agentic coding / slide generationGemini 3.1 Pro PreviewRanks 5th-8th across Design Arena agent categories; Qwen3 Max has no agent-arena scores
Budget-constrained production pipeline at scaleQwen3 Max2.56x cheaper input, 2.82x cheaper output at provider pricing
UI component / SVG generationGemini 3.1 Pro PreviewSVG rank 2 (elo 1347) vs Qwen3 Max rank 60 (elo 1069)

Questions

How much cheaper is Qwen3 Max than Gemini 3.1 Pro Preview?
On a 10M input / 2M output token workload, Qwen3 Max costs $15.60 versus Gemini 3.1 Pro Preview's $44.00 on OpenKey. Input tokens are 2.56x cheaper on Qwen3 Max ($0.8034/M vs $2.06/M), and output is priced at $4.017/M versus $12.36/M.
Which model has a bigger context window?
Gemini 3.1 Pro Preview supports 1,048,576 tokens of context, 4x Qwen3 Max's 262,144. Max output is also larger — 65,536 tokens for Gemini versus 32,768 for Qwen3 Max — which matters for long-document summarization or large code generation tasks.
Does Qwen3 Max support images or audio?
No. Qwen3 Max is text-to-text only. Gemini 3.1 Pro Preview accepts audio, file, image, text, and video as input, so it's the only choice of the two for any workload involving non-text inputs.
Which model scores better on coding benchmarks?
Gemini 3.1 Pro Preview has a coding index of 68.8 on artificial_analysis and ranks higher across every Design Arena models-arena category, including codeCategories (rank 18 vs Qwen3 Max's rank 66) and website generation (rank 15 vs rank 66).

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