Qwen3.6 Plus is $4.67 cheaper per 1M input tokens (93.5% lower; 15.4x difference).
API cost decision in 10 seconds
🔥GPT-5.5 vs 🔥Qwen3.6 Plus
Pick Qwen3.6 Plus for lower cost; pick GPT-5.5 only if the larger context window matters more.
Budget verdict
Pick Qwen3.6 Plus for lower cost; pick GPT-5.5 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 $20 for GPT-5.5, saving $18.7 (93.5% lower).
GPT-5.5 has more context, but Qwen3.6 Plus saves $18.7 on the standard workload. At 10x that traffic, the same price gap is about $187. Use the calculator below to replace the sample workload with your own token volume.
Qwen3.6 Plus is $28.05 cheaper per 1M output tokens (93.5% lower; 15.4x difference).
GPT-5.5 has 50K more context (1.05x larger).
Qwen3.6 Plus is $18.7 cheaper on the standard workload (93.5% lower).
Estimate your workload cost
Your Workload Cost
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
Qwen3.6 Plus has the lower input price; Qwen3.6 Plus has the lower output price; GPT-5.5 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 $20 for GPT-5.5 and $1.3 for Qwen3.6 Plus.
Choose GPT-5.5 when you care most about larger context window.
Choose Qwen3.6 Plus when you care most about lower input-token price, and lower output-token price.
- On the standard 1M input plus 500K output workload, Qwen3.6 Plus is estimated at $1.3 vs $20 for GPT-5.5, saving $18.7 (93.5% lower).
- Qwen3.6 Plus is $18.7 cheaper on the standard workload (93.5% lower).
- Qwen3.6 Plus is $4.67 cheaper per 1M input tokens (93.5% lower; 15.4x difference).
- Qwen3.6 Plus is $28.05 cheaper per 1M output tokens (93.5% lower; 15.4x difference).
- GPT-5.5 has 50K more context (1.05x larger).
| Feature | 🔥GPT-5.5 (OpenAI) | 🔥Qwen3.6 Plus (Qwen) |
|---|---|---|
| Input Price prompt tokens per 1M | $5 | $0.325 |
| Completion Price per 1M tokens | $30 | $1.95 |
| Sample Workload Cost 1M input + 500K output | $20 | $1.3 |
| Context Window | 1.05M | 1M |
| Release Date | ||
| Popularity Rank current rank | #15 | #20 |
Use-Case Decision Matrix
| Use case | Better pick | Why |
|---|---|---|
| Budget-constrained production | Qwen3.6 Plus | On the standard 1M input plus 500K output workload, Qwen3.6 Plus is estimated at $1.3 vs $20 for GPT-5.5, saving $18.7 (93.5% lower). |
| High-volume input processing | Qwen3.6 Plus | Lower prompt-token price matters most when prompts, retrieved passages, or documents dominate the bill. |
| Long responses and chatbots | Qwen3.6 Plus | Lower output-token price matters most when assistants generate many completion tokens. |
| RAG or long-document work | GPT-5.5 | A larger context window leaves more room for retrieved passages, conversation history, or source files. |
Related Alternatives
- gpt-oss-120b (free) can replace GPT-5.5 when lower sample workload cost matters most: $0.
- gpt-oss-20b (free) can replace GPT-5.5 when lower sample workload cost matters most: $0.
- gpt-oss-20b can replace GPT-5.5 when lower sample workload cost matters most: $0.1.
- gpt-oss-120b can replace GPT-5.5 when lower sample workload cost matters most: $0.13.
- 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.
- DeepSeek V4 Flash · DeepSeek · #1
- Hy3 preview · Tencent · #2
- Claude Sonnet 4.6 · Anthropic · #3
- Owl Alpha · OpenRouter · #4
Cheaper alternatives
Review low-cost models ranked by a standard 1M input plus 500K output workload.
Open cheapest modelsLarger context alternatives
Find models with larger context windows for RAG, long documents, and codebase review.
Open largest context modelsProvider catalogs
Compare models within provider hubs before choosing a final API vendor.
Open provider hubsOpenAI catalog
Review all tracked OpenAI models before deciding whether this matchup is the right shortlist.
Open OpenAI modelsQwen catalog
Check other Qwen models with comparable pricing, context, or release timing.
Open Qwen modelsGPT-5.5 is OpenAI’s frontier model designed for complex professional workloads, building on GPT-5.4 with stronger reasoning, higher reliability, and improved token efficiency on hard tasks. It features a 1M+ token...
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...