API cost decision in 10 seconds

🔥Qwen3.6 Plus vs 🔥Gemini 3.1 Pro Preview

Pick Qwen3.6 Plus for lower cost; pick Gemini 3.1 Pro Preview only if the larger context window matters more.

Pricing data updated:  Prices normalized to USD per 1M tokens Sample workload: 1M input + 500K output

Budget verdict

Pick Qwen3.6 Plus for lower cost; pick Gemini 3.1 Pro Preview only if the larger context window matters more.

On the standard 1M input plus 500K output workload, Qwen3.6 Plus is estimated at $1.3 vs $8 for Gemini 3.1 Pro Preview, saving $6.7 (83.8% lower).

Cost-first pickQwen3.6 Plus
Context-first pickGemini 3.1 Pro Preview
Sample savings$6.783.8%
10x traffic gap$67

Gemini 3.1 Pro Preview has more context, but Qwen3.6 Plus saves $6.7 on the standard workload. At 10x that traffic, the same price gap is about $67. Use the calculator below to replace the sample workload with your own token volume.

Cheaper input Qwen3.6 Plus $0.325 vs $2 / 1M

Qwen3.6 Plus is $1.68 cheaper per 1M input tokens (83.8% lower; 6.15x difference).

Cheaper output Qwen3.6 Plus $1.95 vs $12 / 1M

Qwen3.6 Plus is $10.05 cheaper per 1M output tokens (83.8% lower; 6.15x difference).

Larger context Gemini 3.1 Pro Preview 1M vs 1.05M

Gemini 3.1 Pro Preview has 48.58K more context (1.05x larger).

Sample workload Qwen3.6 Plus $1.3 vs $8

Qwen3.6 Plus is $6.7 cheaper on the standard workload (83.8% lower).

Estimate your workload cost

Your Workload Cost

Prices are normalized to USD per 1M tokens.
Qwen3.6 Plus Calculating… Estimated API cost
Gemini 3.1 Pro Preview Calculating… Estimated API cost
Cheaper for this workload Calculating… Difference: calculating…

This estimate uses normalized public API pricing per 1M tokens. It is a planning aid, not a billing quote. Verify provider pricing, limits, and terms before production use.

Quick Decision

Verdict

Qwen3.6 Plus has the lower input price; Qwen3.6 Plus has the lower output price; Gemini 3.1 Pro Preview offers the larger context window. For the 1M input plus 500K output sample, Qwen3.6 Plus is cheaper for the standard workload.

For a 1M input token plus 500K output token workload, the estimated API cost is $1.3 for Qwen3.6 Plus and $8 for Gemini 3.1 Pro Preview.

Best Fit

Choose Qwen3.6 Plus when you care most about lower input-token price, and lower output-token price.

Choose Gemini 3.1 Pro Preview when you care most about larger context window.

Decision Notes
  • On the standard 1M input plus 500K output workload, Qwen3.6 Plus is estimated at $1.3 vs $8 for Gemini 3.1 Pro Preview, saving $6.7 (83.8% lower).
  • Qwen3.6 Plus is $6.7 cheaper on the standard workload (83.8% lower).
  • Qwen3.6 Plus is $1.68 cheaper per 1M input tokens (83.8% lower; 6.15x difference).
  • Qwen3.6 Plus is $10.05 cheaper per 1M output tokens (83.8% lower; 6.15x difference).
  • Gemini 3.1 Pro Preview has 48.58K more context (1.05x larger).
Head-to-Head Specs
Feature🔥Qwen3.6 Plus
(Qwen)
🔥Gemini 3.1 Pro Preview
(Google)
Input Price
prompt tokens per 1M
$0.325$2
Completion Price
per 1M tokens
$1.95$12
Sample Workload Cost
1M input + 500K output
$1.3$8
Context Window1M1.05M
Release Date2026-04-022026-02-19
Popularity Rank
current rank
#10#20

Use-Case Decision Matrix

Use caseBetter pickWhy
Budget-constrained productionQwen3.6 PlusOn the standard 1M input plus 500K output workload, Qwen3.6 Plus is estimated at $1.3 vs $8 for Gemini 3.1 Pro Preview, saving $6.7 (83.8% lower).
High-volume input processingQwen3.6 PlusLower prompt-token price matters most when prompts, retrieved passages, or documents dominate the bill.
Long responses and chatbotsQwen3.6 PlusLower output-token price matters most when assistants generate many completion tokens.
RAG or long-document workGemini 3.1 Pro PreviewA larger context window leaves more room for retrieved passages, conversation history, or source files.

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Qwen catalog

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Google catalog

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Qwen3.6 Plus

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Gemini 3.1 Pro Preview is Google’s frontier reasoning model, delivering enhanced software engineering performance, improved agentic reliability, and more efficient token usage across complex workflows. Building on the multimodal foundation...