Qwen2.5 VL 72B Instruct is $0.18 cheaper per 1M input tokens (42.5% lower; 1.74x difference).
API cost decision in 10 seconds
🔥DeepSeek V4 Pro vs Qwen2.5 VL 72B Instruct
Pick Qwen2.5 VL 72B Instruct for lower cost; pick DeepSeek V4 Pro only if the larger context window matters more.
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Data confirmed:
Prices normalized to USD per 1M tokens
Sample workload: 1M input + 500K output
Budget verdict
Pick Qwen2.5 VL 72B 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, Qwen2.5 VL 72B Instruct is estimated at $0.62 vs $0.87 for DeepSeek V4 Pro, saving $0.24 (28.2% lower).
Cost-first pickQwen2.5 VL 72B Instruct
Context-first pickDeepSeek V4 Pro
Sample savings$0.2428.2%
10x traffic gap$2.45
DeepSeek V4 Pro has more context, but Qwen2.5 VL 72B Instruct saves $0.24 on the standard workload. At 10x that traffic, the same price gap is about $2.45. Use the calculator below to replace the sample workload with your own token volume.
Cost sensitivity
Workload Sensitivity
Qwen2.5 VL 72B Instruct stays cheaper across input-heavy, balanced, and output-heavy sample workloads.
| Workload shape | Token mix | Better pick | DeepSeek V4 Pro | Qwen2.5 VL 72B Instruct |
|---|---|---|---|---|
| Input-heavy / RAG | 5M input + 500K output | Qwen2.5 VL 72B Instruct | $2.61 | $1.62 |
| Balanced workload | 1M input + 1M output | Qwen2.5 VL 72B Instruct | $1.3 | $1 |
| Output-heavy chatbot | 1M input + 5M output | Qwen2.5 VL 72B Instruct | $4.78 | $4 |
Qwen2.5 VL 72B Instruct is $0.12 cheaper per 1M output tokens (13.8% lower; 1.16x difference).
DeepSeek V4 Pro has 917.5K more context (8x larger).
Qwen2.5 VL 72B Instruct is $0.24 cheaper on the standard workload (28.2% 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
Qwen2.5 VL 72B Instruct has the lower input price; Qwen2.5 VL 72B Instruct has the lower output price; DeepSeek V4 Pro offers the larger context window. For the 1M input plus 500K output sample, Qwen2.5 VL 72B Instruct is cheaper for the standard workload.
For a 1M input token plus 500K output token workload, the estimated API cost is $0.87 for DeepSeek V4 Pro and $0.62 for Qwen2.5 VL 72B Instruct.
Choose DeepSeek V4 Pro when you care most about larger context window.
Choose Qwen2.5 VL 72B Instruct when you care most about lower input-token price, and lower output-token price.
- On the standard 1M input plus 500K output workload, Qwen2.5 VL 72B Instruct is estimated at $0.62 vs $0.87 for DeepSeek V4 Pro, saving $0.24 (28.2% lower).
- Qwen2.5 VL 72B Instruct is $0.24 cheaper on the standard workload (28.2% lower).
- Qwen2.5 VL 72B Instruct is $0.18 cheaper per 1M input tokens (42.5% lower; 1.74x difference).
- Qwen2.5 VL 72B Instruct is $0.12 cheaper per 1M output tokens (13.8% lower; 1.16x difference).
- DeepSeek V4 Pro has 917.5K more context (8x larger).
| Feature | 🔥DeepSeek V4 Pro (DeepSeek) | Qwen2.5 VL 72B Instruct (Qwen) |
|---|---|---|
| Input Price prompt tokens per 1M | $0.435 | $0.25 |
| Completion Price per 1M tokens | $0.87 | $0.75 |
| Sample Workload Cost 1M input + 500K output | $0.87 | $0.62 |
| Context Window | 1.05M | 131.07K |
| Release Date | ||
| Popularity | #6 | #150 |
Use-Case Decision Matrix
| Use case | Better pick | Why |
|---|---|---|
| Budget-constrained production | Qwen2.5 VL 72B Instruct | On the standard 1M input plus 500K output workload, Qwen2.5 VL 72B Instruct is estimated at $0.62 vs $0.87 for DeepSeek V4 Pro, saving $0.24 (28.2% lower). |
| High-volume input processing | Qwen2.5 VL 72B Instruct | Lower prompt-token price matters most when prompts, retrieved passages, or documents dominate the bill. |
| Long responses and chatbots | Qwen2.5 VL 72B 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, conversation history, or source files. |
Related Alternatives
- DeepSeek V4 Flash (free) can replace DeepSeek V4 Pro when lower sample workload cost matters most: $0.
- DeepSeek V4 Flash can replace DeepSeek V4 Pro when lower sample workload cost matters most: $0.2.
- R1 Distill Qwen 32B can replace DeepSeek V4 Pro when lower sample workload cost matters most: $0.43.
- DeepSeek V3.2 can replace DeepSeek V4 Pro when lower sample workload cost matters most: $0.44.
- 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 · DeepSeek · #1
- Hy3 preview · Tencent · #2
- Claude Opus 4.7 · Anthropic · #3
- Claude Sonnet 4.6 · Anthropic · #4
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Open Qwen modelsDeepSeek 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,...
Qwen2.5-VL is proficient in recognizing common objects such as flowers, birds, fish, and insects. It is also highly capable of analyzing texts, charts, icons, graphics, and layouts within images.