API cost decision in 10 seconds
Qwen3.6 Plus vs 🔥GPT-5.4
Pick Qwen3.6 Plus for lower cost; pick GPT-5.4 only if the larger context window matters more.
Budget verdict
Pick Qwen3.6 Plus for lower cost; pick GPT-5.4 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 $10 for GPT-5.4, saving $8.7 (87% lower).
GPT-5.4 has more context, but Qwen3.6 Plus saves $8.7 on the standard workload. At 10x that traffic, the same price gap is about $87. Use the calculator below to replace the sample workload with your own token volume.
Cost sensitivity
Workload Sensitivity
Qwen3.6 Plus stays cheaper across input-heavy, balanced, and output-heavy sample workloads.
| Workload shape | Token mix | Better pick | Qwen3.6 Plus | GPT-5.4 |
|---|---|---|---|---|
| Input-heavy / RAG | 5M input + 500K output | Qwen3.6 Plus | $2.6 | $20 |
| Balanced workload | 1M input + 1M output | Qwen3.6 Plus | $2.27 | $17.5 |
| Output-heavy chatbot | 1M input + 5M output | Qwen3.6 Plus | $10.07 | $77.5 |
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, and GPT-5.4 offers the larger context window.
For a 1M input token plus 500K output token workload, the estimated API cost is $1.3 for Qwen3.6 Plus and $10 for GPT-5.4.
Choose Qwen3.6 Plus when you care most about lower input-token price, and lower output-token price.
Choose GPT-5.4 when you care most about larger context window.
| Feature | Qwen3.6 Plus (Qwen) | 🔥GPT-5.4 (OpenAI) |
|---|---|---|
| Input Price prompt tokens per 1M | $0.33 | $2.5 |
| Completion Price per 1M tokens | $1.95 | $15 |
| Sample Workload Cost 1M input + 500K output | $1.3 | $10 |
| Context Window | 1M | 1.05M |
| Release Date | 2026-04-02 | 2026-03-05 |
| Popularity | #19 |
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-5.4 is OpenAI’s latest frontier model, unifying the Codex and GPT lines into a single system. It features a 1M+ token context window (922K input, 128K output) with support for...
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 $10 for GPT-5.4, saving $8.7 (87% lower). |
| High-volume input processing | Qwen3.6 Plus | Lower prompt-token price matters most when prompts or retrieved passages 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-5.4 | A larger context window leaves more room for retrieved passages and source files. |