GPT-5 Mini is $0.08 cheaper per 1M input tokens (23.1% lower; 1.3x difference).
API cost decision in 10 seconds
GPT-5 Mini vs Qwen3.6 Plus
Pick GPT-5 Mini for lower cost; pick Qwen3.6 Plus only if the larger context window matters more.
Page updated:
Data confirmed:
Prices normalized to USD per 1M tokens
Sample workload: 1M input + 500K output
Budget verdict
Pick GPT-5 Mini for lower cost; pick Qwen3.6 Plus only if the larger context window matters more.
On the standard 1M input plus 500K output workload, GPT-5 Mini is estimated at $1.25 vs $1.3 for Qwen3.6 Plus, saving $0.05 (3.8% lower).
Cost-first pickGPT-5 Mini
Context-first pickQwen3.6 Plus
Sample savings$0.053.8%
10x traffic gap$0.5
Qwen3.6 Plus has more context, but GPT-5 Mini saves $0.05 on the standard workload. At 10x that traffic, the same price gap is about $0.5. Use the calculator below to replace the sample workload with your own token volume.
Cost sensitivity
Workload Sensitivity
Cost winner changes by workload shape: input-heavy / RAG favors GPT-5 Mini, balanced workload favors GPT-5 Mini, and output-heavy chatbot favors Qwen3.6 Plus.
| Workload shape | Token mix | Better pick | GPT-5 Mini | Qwen3.6 Plus |
|---|---|---|---|---|
| Input-heavy / RAG | 5M input + 500K output | GPT-5 Mini | $2.25 | $2.6 |
| Balanced workload | 1M input + 1M output | GPT-5 Mini | $2.25 | $2.27 |
| Output-heavy chatbot | 1M input + 5M output | Qwen3.6 Plus | $10.25 | $10.07 |
Qwen3.6 Plus is $0.05 cheaper per 1M output tokens (2.5% lower; 1.03x difference).
Qwen3.6 Plus has 600K more context (2.5x larger).
GPT-5 Mini is $0.05 cheaper on the standard workload (3.8% 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
GPT-5 Mini 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, GPT-5 Mini is cheaper for the standard workload.
For a 1M input token plus 500K output token workload, the estimated API cost is $1.25 for GPT-5 Mini and $1.3 for Qwen3.6 Plus.
Choose GPT-5 Mini when you care most about lower input-token price.
Choose Qwen3.6 Plus when you care most about lower output-token price, and larger context window.
- On the standard 1M input plus 500K output workload, GPT-5 Mini is estimated at $1.25 vs $1.3 for Qwen3.6 Plus, saving $0.05 (3.8% lower).
- GPT-5 Mini is $0.05 cheaper on the standard workload (3.8% lower).
- GPT-5 Mini is $0.08 cheaper per 1M input tokens (23.1% lower; 1.3x difference).
- Qwen3.6 Plus is $0.05 cheaper per 1M output tokens (2.5% lower; 1.03x difference).
- Qwen3.6 Plus has 600K more context (2.5x larger).
| Feature | GPT-5 Mini (OpenAI) | Qwen3.6 Plus (Qwen) |
|---|---|---|
| Input Price prompt tokens per 1M | $0.25 | $0.325 |
| Completion Price per 1M tokens | $2 | $1.95 |
| Sample Workload Cost 1M input + 500K output | $1.25 | $1.3 |
| Context Window | 400K | 1M |
| Release Date | ||
| Popularity | #39 | #41 |
Use-Case Decision Matrix
| Use case | Better pick | Why |
|---|---|---|
| Budget-constrained production | GPT-5 Mini | On the standard 1M input plus 500K output workload, GPT-5 Mini is estimated at $1.25 vs $1.3 for Qwen3.6 Plus, saving $0.05 (3.8% lower). |
| High-volume input processing | GPT-5 Mini | 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 | Qwen3.6 Plus | 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 Mini when lower sample workload cost matters most: $0.
- gpt-oss-20b (free) can replace GPT-5 Mini when lower sample workload cost matters most: $0.
- gpt-oss-20b can replace GPT-5 Mini when lower sample workload cost matters most: $0.1.
- gpt-oss-120b can replace GPT-5 Mini when lower sample workload cost matters most: $0.13.
- Llama 4 Scout offers 10M context with $0.23 sample workload cost.
- Owl Alpha offers 1.05M context with $0 sample workload cost.
- DeepSeek V4 Flash offers 1.05M context with $0.2 sample workload cost.
- MiMo-V2.5 offers 1.05M context with $0.28 sample workload cost.
- Hy3 preview · Tencent · #1
- DeepSeek V4 Flash · DeepSeek · #2
- MiMo-V2.5 · Xiaomi · #3
- Claude Sonnet 4.6 · Anthropic · #4
Cheaper alternatives
Review low-cost models sorted 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 Mini is a compact version of GPT-5, designed to handle lighter-weight reasoning tasks. It provides the same instruction-following and safety-tuning benefits as GPT-5, but with reduced latency and cost....
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...