API cost decision in 10 seconds

Qwen3.6 Plus vs GPT-5.2 Pro

Pick Qwen3.6 Plus when budget and context both matter.

Page updated:  Data confirmed:  Prices normalized to USD per 1M tokens Sample workload: 1M input + 500K output

Budget verdict

Pick Qwen3.6 Plus when budget and context both matter.

On the standard 1M input plus 500K output workload, Qwen3.6 Plus is estimated at $1.3 vs $105 for GPT-5.2 Pro, saving $103.7 (98.8% lower).

Cost-first pickQwen3.6 Plus
Context-first pickQwen3.6 Plus
Sample savings$103.798.8%
10x traffic gap$1037

Qwen3.6 Plus is cheaper on the standard workload and also has the larger context window. At 10x that traffic, the same price gap is about $1037. Use the calculator below to replace the sample workload with your own token volume.

Cost sensitivity

Workload Sensitivity

Same prices, different token mixes.

Qwen3.6 Plus stays cheaper across input-heavy, balanced, and output-heavy sample workloads.

Workload shapeToken mixBetter pickQwen3.6 PlusGPT-5.2 Pro
Input-heavy / RAG5M input + 500K outputQwen3.6 Plus$2.6$189
Balanced workload1M input + 1M outputQwen3.6 Plus$2.27$189
Output-heavy chatbot1M input + 5M outputQwen3.6 Plus$10.07$861
Cheaper input Qwen3.6 Plus $0.325 vs $21 / 1M

Qwen3.6 Plus is $20.68 cheaper per 1M input tokens (98.5% lower; 64.6x difference).

Cheaper output Qwen3.6 Plus $1.95 vs $168 / 1M

Qwen3.6 Plus is $166.05 cheaper per 1M output tokens (98.8% lower; 86.2x difference).

Larger context Qwen3.6 Plus 1M vs 400K

Qwen3.6 Plus has 600K more context (2.5x larger).

Sample workload Qwen3.6 Plus $1.3 vs $105

Qwen3.6 Plus is $103.7 cheaper on the standard workload (98.8% lower).

Estimate your workload cost

Your Workload Cost

Prices are normalized to USD per 1M tokens.
Qwen3.6 Plus Calculating… Estimated API cost
GPT-5.2 Pro 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; Qwen3.6 Plus 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 $105 for GPT-5.2 Pro.

Best Fit

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

Choose GPT-5.2 Pro when its provider, model quality, latency, or availability is more important than the numeric price/context winner.

Decision Notes
  • On the standard 1M input plus 500K output workload, Qwen3.6 Plus is estimated at $1.3 vs $105 for GPT-5.2 Pro, saving $103.7 (98.8% lower).
  • Qwen3.6 Plus is $103.7 cheaper on the standard workload (98.8% lower).
  • Qwen3.6 Plus is $20.68 cheaper per 1M input tokens (98.5% lower; 64.6x difference).
  • Qwen3.6 Plus is $166.05 cheaper per 1M output tokens (98.8% lower; 86.2x difference).
  • Qwen3.6 Plus has 600K more context (2.5x larger).
Head-to-Head Specs
FeatureQwen3.6 Plus
(Qwen)
GPT-5.2 Pro
(OpenAI)
Input Price
prompt tokens per 1M
$0.325$21
Completion Price
per 1M tokens
$1.95$168
Sample Workload Cost
1M input + 500K output
$1.3$105
Context Window1M400K
Release Date

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 $105 for GPT-5.2 Pro, saving $103.7 (98.8% 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 workQwen3.6 PlusA larger context window leaves more room for retrieved passages, conversation history, or source files.

Related Alternatives

Larger context near this budget
  • Llama 4 Scout offers 10M context with $0.23 sample workload cost.
  • Grok 4.20 Multi-Agent offers 2M context with $5 sample workload cost.
  • Grok 4.20 offers 2M context with $2.5 sample workload cost.
  • GPT-5.5 offers 1.05M context with $20 sample workload cost.

Cheaper alternatives

Review low-cost models sorted by a standard 1M input plus 500K output workload.

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Larger context alternatives

Find models with larger context windows for RAG, long documents, and codebase review.

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Provider catalogs

Compare models within provider hubs before choosing a final API vendor.

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Qwen catalog

Review all tracked Qwen models before deciding whether this matchup is the right shortlist.

Open Qwen models

OpenAI catalog

Check other OpenAI models with comparable pricing, context, or release timing.

Open OpenAI models
Qwen3.6 Plus

Qwen 3.6 Plus builds on a hybrid architecture that combines efficient linear attention with sparse mixture-of-experts routing, enabling strong scalability and high-performance inference. Compared to the 3.5 series, it delivers...

GPT-5.2 Pro

GPT-5.2 Pro is OpenAI’s most advanced model, offering major improvements in agentic coding and long context performance over GPT-5 Pro. It is optimized for complex tasks that require step-by-step reasoning,...