Qwen2.5 72B Instruct
Analysis Summary
Qwen2.5 72B Instruct sits in the Efficient tier on our leaderboard, ranked #199 of 557 published models on overall intelligence. At $0.360 input and $0.400 output per 1M tokens, it is among the most expensive on the market. It offers a standard large context window and supports tool use and function calling.
Editorial notes
Qwen2.5 72B Instruct offers moderate general knowledge at low cost with tool use and function calling, but benchmark scores are limited and it has been superseded by newer Qwen generations.
Assessed May 17, 2026
Rankings consider pricing, capabilities, benchmarks, and real-world applicability and are refreshed as new models launch. Feedback?
Performance Profile
Qwen2.5 72B is the latest series of Qwen large language models. Qwen2.5 brings the following improvements upon Qwen2: - Significantly more knowledge and has greatly improved capabilities in coding and..
Capabilities
Architecture Detail
| Instruct Type | chatml |
Performance Indices
Source: Artificial Analysis
Benchmark Scores
Intelligence
Technical
Content
Benchmark data from Artificial Analysis and Hugging Face
How does Qwen2.5 72B Instruct stack up?
Compare side-by-side with other efficient models.
Model Information
| OpenRouter ID |
qwen/qwen-2.5-72b-instruct
|
| Provider | qwen |
| Release Date | September 19, 2024 |
| Context Length | 131,072 tokens |
| Max Completion | 16,384 tokens |
| Status | Active |
Pricing
| Token Type | Cost per 1M tokens | Cost per 1K tokens |
|---|---|---|
| Input | $0.36 | $0.000360 |
| Output | $0.40 | $0.000400 |
Live Performance
Live endpoint metrics — refreshed every 30 minutes.
External Resources
Explore Related Models
Data sourced from OpenRouter API, Artificial Analysis and Hugging Face Open LLM Leaderboard. Scores are editorially curated by our team.
Last updated: May 20, 2026 8:38 pm