Qwen 2.5 72B is Alibaba's most capable open-weight model, offering exceptional value especially for multilingual applications. It outperforms Llama 3.1 70B on several benchmarks at a similar price point.
Input Price
$0.35/1M
per 1M tokens
Output Price
$0.40/1M
per 1M tokens
Context Window
131K tokens
max tokens
ELO Score
1280
LMSYS Arena
Pricing Breakdown
| Volume | Input Cost | Output Cost | Combined (50/50) |
|---|---|---|---|
| 1,000 tokens | $0.0003 | $0.0004 | $0.0004 |
| 10,000 tokens | $0.0035 | $0.0040 | $0.0038 |
| 100,000 tokens | $0.0350 | $0.0400 | $0.0375 |
| 1,000,000 tokens | $0.3500 | $0.4000 | $0.3750 |
Strengths
- ✓Best-in-class for Chinese/Japanese/Korean languages
- ✓Open source weights available
- ✓Strong coding performance for cost
- ✓Competitive with Llama 405B at 72B size
Weaknesses
- ✗Less optimized for pure English tasks
- ✗Fewer hosted providers than Llama
Compare Qwen 2.5 72B With
Frequently Asked Questions
How much does Qwen 2.5 72B cost?
Qwen 2.5 72B costs $0.35/1M per 1M input tokens and $0.40/1M per 1M output tokens.
What is Qwen 2.5 72B's context window?
Qwen 2.5 72B has a context window of 131K tokens, which means it can process up to 131,072 tokens in a single request.
Is Qwen 2.5 72B open source?
Yes, Qwen 2.5 72B is open source. The model weights are publicly available and can be self-hosted.
What is Qwen 2.5 72B best used for?
Qwen 2.5 72B is best suited for: translation, coding, low-cost, data-extraction. Best-in-class for Chinese/Japanese/Korean languages.
What is Qwen 2.5 72B's ELO score?
Qwen 2.5 72B has an ELO score of 1280 on the LMSYS Chatbot Arena leaderboard, placing it in the mid-tier range.