Qwen2.5 VL 72B Instruct is $1.5 cheaper per 1M input tokens (85.7% lower; 7x difference).
API cost decision in 10 seconds
GPT-5.2 Chat vs Qwen2.5 VL 72B Instruct
Pick Qwen2.5 VL 72B Instruct when budget and context both matter.
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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 when budget and context both matter.
On the standard 1M input plus 500K output workload, Qwen2.5 VL 72B Instruct is estimated at $0.62 vs $8.75 for GPT-5.2 Chat, saving $8.12 (92.9% lower).
Cost-first pickQwen2.5 VL 72B Instruct
Context-first pickQwen2.5 VL 72B Instruct
Sample savings$8.1292.9%
10x traffic gap$81.25
Qwen2.5 VL 72B Instruct is cheaper on the standard workload and also has the larger context window. At 10x that traffic, the same price gap is about $81.25. 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 | GPT-5.2 Chat | Qwen2.5 VL 72B Instruct |
|---|---|---|---|---|
| Input-heavy / RAG | 5M input + 500K output | Qwen2.5 VL 72B Instruct | $15.75 | $1.62 |
| Balanced workload | 1M input + 1M output | Qwen2.5 VL 72B Instruct | $15.75 | $1 |
| Output-heavy chatbot | 1M input + 5M output | Qwen2.5 VL 72B Instruct | $71.75 | $4 |
Qwen2.5 VL 72B Instruct is $13.25 cheaper per 1M output tokens (94.6% lower; 18.7x difference).
Qwen2.5 VL 72B Instruct has 3.07K more context (1.02x larger).
Qwen2.5 VL 72B Instruct is $8.12 cheaper on the standard workload (92.9% 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; Qwen2.5 VL 72B Instruct 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 $8.75 for GPT-5.2 Chat and $0.62 for Qwen2.5 VL 72B Instruct.
Choose GPT-5.2 Chat when its provider, model quality, latency, or availability is more important than the numeric price/context winner.
Choose Qwen2.5 VL 72B Instruct when you care most about lower input-token price, lower output-token price, and larger context window.
- On the standard 1M input plus 500K output workload, Qwen2.5 VL 72B Instruct is estimated at $0.62 vs $8.75 for GPT-5.2 Chat, saving $8.12 (92.9% lower).
- Qwen2.5 VL 72B Instruct is $8.12 cheaper on the standard workload (92.9% lower).
- Qwen2.5 VL 72B Instruct is $1.5 cheaper per 1M input tokens (85.7% lower; 7x difference).
- Qwen2.5 VL 72B Instruct is $13.25 cheaper per 1M output tokens (94.6% lower; 18.7x difference).
- Qwen2.5 VL 72B Instruct has 3.07K more context (1.02x larger).
| Feature | GPT-5.2 Chat (OpenAI) | Qwen2.5 VL 72B Instruct (Qwen) |
|---|---|---|
| Input Price prompt tokens per 1M | $1.75 | $0.25 |
| Completion Price per 1M tokens | $14 | $0.75 |
| Sample Workload Cost 1M input + 500K output | $8.75 | $0.62 |
| Context Window | 128K | 131.07K |
| Release Date | ||
| Popularity | #139 | #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 $8.75 for GPT-5.2 Chat, saving $8.12 (92.9% 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 | Qwen2.5 VL 72B Instruct | A larger context window leaves more room for retrieved passages, conversation history, or source files. |
Related Alternatives
- gpt-oss-120b (free) can replace GPT-5.2 Chat when lower sample workload cost matters most: $0.
- gpt-oss-20b (free) can replace GPT-5.2 Chat when lower sample workload cost matters most: $0.
- gpt-oss-20b can replace GPT-5.2 Chat when lower sample workload cost matters most: $0.1.
- gpt-oss-120b can replace GPT-5.2 Chat when lower sample workload cost matters most: $0.13.
- Llama 4 Scout offers 10M context with $0.23 sample workload cost.
- Grok 4.20 offers 2M context with $2.5 sample workload cost.
- Grok 4.20 Multi-Agent offers 2M context with $5 sample workload cost.
- GPT-5.4 offers 1.05M context with $10 sample workload cost.
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