Qwen3.6 Flash is $0.06 cheaper per 1M input tokens (25% lower; 1.33x difference).
API cost decision in 10 seconds
Qwen3.6 Flash vs Qwen2.5 VL 72B Instruct
Pick Qwen2.5 VL 72B Instruct for lower cost; pick Qwen3.6 Flash 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 Qwen2.5 VL 72B Instruct for lower cost; pick Qwen3.6 Flash 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 $0.75 for Qwen3.6 Flash, saving $0.12 (16.7% lower).
Cost-first pickQwen2.5 VL 72B Instruct
Context-first pickQwen3.6 Flash
Sample savings$0.1216.7%
10x traffic gap$1.25
Qwen3.6 Flash has more context, but Qwen2.5 VL 72B Instruct saves $0.12 on the standard workload. At 10x that traffic, the same price gap is about $1.25. 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 Qwen3.6 Flash, balanced workload favors Qwen2.5 VL 72B Instruct, and output-heavy chatbot favors Qwen2.5 VL 72B Instruct.
| Workload shape | Token mix | Better pick | Qwen3.6 Flash | Qwen2.5 VL 72B Instruct |
|---|---|---|---|---|
| Input-heavy / RAG | 5M input + 500K output | Qwen3.6 Flash | $1.5 | $1.62 |
| Balanced workload | 1M input + 1M output | Qwen2.5 VL 72B Instruct | $1.31 | $1 |
| Output-heavy chatbot | 1M input + 5M output | Qwen2.5 VL 72B Instruct | $5.81 | $4 |
Qwen2.5 VL 72B Instruct is $0.38 cheaper per 1M output tokens (33.3% lower; 1.5x difference).
Qwen3.6 Flash has 868.93K more context (7.63x larger).
Qwen2.5 VL 72B Instruct is $0.12 cheaper on the standard workload (16.7% 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 Flash has the lower input price; Qwen2.5 VL 72B Instruct has the lower output price; Qwen3.6 Flash 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 $0.75 for Qwen3.6 Flash and $0.62 for Qwen2.5 VL 72B Instruct.
Choose Qwen3.6 Flash when you care most about lower input-token price, and larger context window.
Choose Qwen2.5 VL 72B Instruct when you care most about lower output-token price.
- On the standard 1M input plus 500K output workload, Qwen2.5 VL 72B Instruct is estimated at $0.62 vs $0.75 for Qwen3.6 Flash, saving $0.12 (16.7% lower).
- Qwen2.5 VL 72B Instruct is $0.12 cheaper on the standard workload (16.7% lower).
- Qwen3.6 Flash is $0.06 cheaper per 1M input tokens (25% lower; 1.33x difference).
- Qwen2.5 VL 72B Instruct is $0.38 cheaper per 1M output tokens (33.3% lower; 1.5x difference).
- Qwen3.6 Flash has 868.93K more context (7.63x larger).
| Feature | Qwen3.6 Flash (Qwen) | Qwen2.5 VL 72B Instruct (Qwen) |
|---|---|---|
| Input Price prompt tokens per 1M | $0.1875 | $0.25 |
| Completion Price per 1M tokens | $1.125 | $0.75 |
| Sample Workload Cost 1M input + 500K output | $0.75 | $0.62 |
| Context Window | 1M | 131.07K |
| Release Date | ||
| Popularity | #94 | #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 $0.75 for Qwen3.6 Flash, saving $0.12 (16.7% lower). |
| High-volume input processing | Qwen3.6 Flash | 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 | Qwen3.6 Flash | A larger context window leaves more room for retrieved passages, conversation history, or source files. |
Related Alternatives
- Qwen3 Next 80B A3B Instruct (free) can replace Qwen3.6 Flash when lower sample workload cost matters most: $0.
- Qwen3 Coder 480B A35B (free) can replace Qwen3.6 Flash when lower sample workload cost matters most: $0.
- Qwen2.5 7B Instruct can replace Qwen3.6 Flash when lower sample workload cost matters most: $0.09.
- Qwen3.5-9B can replace Qwen3.6 Flash when lower sample workload cost matters most: $0.11.
- 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.
- DeepSeek V4 Pro offers 1.05M context with $0.87 sample workload cost.
- DeepSeek V4 Flash · DeepSeek · #1
- Hy3 preview · Tencent · #2
- Claude Opus 4.7 · Anthropic · #3
- Claude Sonnet 4.6 · Anthropic · #4
Cheaper alternatives
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Open provider hubsQwen catalog
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Open Qwen modelsQwen3.6 Flash is a fast, efficient language model from Alibaba's Qwen 3.6 series. It supports text, image, and video input with a 1M token context window. Tiered pricing kicks in...
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.