API cost decision in 10 seconds
🔥DeepSeek V4 Pro vs Qwen3 VL 32B Instruct
Pick Qwen3 VL 32B Instruct for lower cost; pick DeepSeek V4 Pro only if the larger context window matters more.
Budget verdict
Pick Qwen3 VL 32B Instruct for lower cost; pick DeepSeek V4 Pro only if the larger context window matters more.
On the standard 1M input plus 500K output workload, Qwen3 VL 32B Instruct is estimated at $0.31 vs $0.87 for DeepSeek V4 Pro, saving $0.56 (64.1% lower).
DeepSeek V4 Pro has more context, but Qwen3 VL 32B Instruct saves $0.56 on the standard workload. At 10x that traffic, the same price gap is about $5.58. Use the calculator below to replace the sample workload with your own token volume.
Cost sensitivity
Workload Sensitivity
Qwen3 VL 32B Instruct stays cheaper across input-heavy, balanced, and output-heavy sample workloads.
| Workload shape | Token mix | Better pick | DeepSeek V4 Pro | Qwen3 VL 32B Instruct |
|---|---|---|---|---|
| Input-heavy / RAG | 5M input + 500K output | Qwen3 VL 32B Instruct | $2.61 | $0.73 |
| Balanced workload | 1M input + 1M output | Qwen3 VL 32B Instruct | $1.3 | $0.52 |
| Output-heavy chatbot | 1M input + 5M output | Qwen3 VL 32B Instruct | $4.78 | $2.18 |
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 VL 32B Instruct has the lower input price, Qwen3 VL 32B Instruct has the lower output price, and DeepSeek V4 Pro offers the larger context window.
For a 1M input token plus 500K output token workload, the estimated API cost is $0.87 for DeepSeek V4 Pro and $0.31 for Qwen3 VL 32B Instruct.
Choose DeepSeek V4 Pro when you care most about larger context window.
Choose Qwen3 VL 32B Instruct when you care most about lower input-token price, and lower output-token price.
| Feature | 🔥DeepSeek V4 Pro (DeepSeek) | Qwen3 VL 32B Instruct (Qwen) |
|---|---|---|
| Input Price prompt tokens per 1M | $0.43 | $0.1 |
| Completion Price per 1M tokens | $0.87 | $0.42 |
| Sample Workload Cost 1M input + 500K output | $0.87 | $0.31 |
| Context Window | 1.05M | 262.14K |
| Release Date | 2026-04-24 | 2025-10-23 |
| Popularity | #6 |
DeepSeek V4 Pro is a large-scale Mixture-of-Experts model from DeepSeek with 1.6T total parameters and 49B activated parameters, supporting a 1M-token context window. It is designed for advanced reasoning, coding,...
Qwen3-VL-32B-Instruct is a large-scale multimodal vision-language model designed for high-precision understanding and reasoning across text, images, and video. With 32 billion parameters, it combines deep visual perception with advanced text...
Use-Case Decision Matrix
| Use case | Better pick | Why |
|---|---|---|
| Budget-constrained production | Qwen3 VL 32B Instruct | On the standard 1M input plus 500K output workload, Qwen3 VL 32B Instruct is estimated at $0.31 vs $0.87 for DeepSeek V4 Pro, saving $0.56 (64.1% lower). |
| High-volume input processing | Qwen3 VL 32B Instruct | Lower prompt-token price matters most when prompts or retrieved passages dominate the bill. |
| Long responses and chatbots | Qwen3 VL 32B Instruct | Lower output-token price matters most when assistants generate many completion tokens. |
| RAG or long-document work | DeepSeek V4 Pro | A larger context window leaves more room for retrieved passages and source files. |