Qwen 2.5 72B Pricing
BalancedQwen · 131K tokens context
Qwen 2.5 72B from Qwen costs $0.360 per 1 million input tokens and $0.400 per 1 million output tokens as of June 2026 (live OpenRouter data). The model supports a 131,072-token context window (approximately 98,304 words) with a 8K-token maximum output. A typical 1,000-token request costs $0.0004 in input charges; a 10,000-token request costs $0.0036.
| Input price | $0.360 / 1M tokens |
|---|---|
| Output price | $0.400 / 1M tokens |
| Output / input ratio | 1.1× |
| Context window | 131,072 tokens (~98,304 words) |
| Maximum output | 8,192 tokens |
| Cost per 1K tokens (input) | $0.0004 |
| Tier | Balanced |
| Last verified |
Qwen 2.5 72B is Alibaba's flagship open-weight model — surprisingly strong on coding and math benchmarks, competitive with GPT-4o class models at a fraction of the cost. A top choice for self-hosted general workloads.
Input Price
$0.360
per 1 million tokens
Output Price
$0.400
per 1 million tokens
Context Window
131K tokens
max 8K output
Cost Examples
| Request Type | Tokens | Input Cost | Output Cost |
|---|---|---|---|
| 1,000 word article | 1,333 | $0.00048 | $0.00016 |
| 10-page document (2,500 words) | 3,333 | $0.0012 | $0.0004 |
| 1,000 lines of code | 5,000 | $0.0018 | $0.0006 |
| 100K token document | 100,000 | $0.036 | $0.012 |
Output cost estimated at 30% of input token count. Use the calculator for exact figures.
Strengths
- ✓Excellent coding and math benchmark scores
- ✓Open weights — self-hostable
- ✓Cheap at $0.35/1M input
- ✓Strong multilingual support (Chinese, Japanese, etc.)
Limitations
- –Less mature Western ecosystem
- –Below frontier on non-STEM tasks
Best Use Cases
Calculate Qwen 2.5 72B Costs
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