Qwen2.5 VL 72B Instruct Pricing
FlagshipQwen · 128K tokens context
Qwen2.5 VL 72B Instruct from Qwen costs $0.800 per 1 million input tokens and $1.00 per 1 million output tokens as of July 2026 (live OpenRouter data). The model supports a 128,000-token context window (approximately 96,000 words) with a 128K-token maximum output. A typical 1,000-token request costs $0.0008 in input charges; a 10,000-token request costs $0.0080.
| Input price | $0.800 / 1M tokens |
|---|---|
| Output price | $1.00 / 1M tokens |
| Output / input ratio | 1.3× |
| Context window | 128,000 tokens (~96,000 words) |
| Maximum output | 128,000 tokens |
| Cost per 1K tokens (input) | $0.0008 |
| Tier | Flagship |
| Last verified |
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.
Input Price
$0.800
per 1 million tokens
Output Price
$1.00
per 1 million tokens
Context Window
128K tokens
max 128K output
Cost Examples
| Request Type | Tokens | Input Cost | Output Cost |
|---|---|---|---|
| 1,000 word article | 1,333 | $0.00107 | $0.0004 |
| 10-page document (2,500 words) | 3,333 | $0.00267 | $0.001 |
| 1,000 lines of code | 5,000 | $0.004 | $0.0015 |
| 100K token document | 100,000 | $0.08 | $0.03 |
Output cost estimated at 30% of input token count. Use the calculator for exact figures.
Strengths
- ✓Affordable at $0.80/1M input tokens
- ✓Frontier-class quality on complex tasks
- ✓Multimodal: understands images as well as text
Limitations
- –Quality and availability can vary by hosting provider
- –Quality and availability can vary by hosting provider
Best Use Cases
Calculate Qwen2.5 VL 72B Instruct Costs
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