Qwen2.5 72B Instruct
Analysis Summary
Qwen2.5 72B Instruct is Alibaba's flagship open-weight instruction model at the 72B scale, with an intelligence index of 9.6 and a coding index of 11.9. It supports tool use and function calling, making it capable of structured agentic workflows, and its MMLU-Pro score of 0.72 reflects broad knowledge coverage.
For businesses, it suits general-purpose content generation, structured data extraction, and moderate coding assistance. The 131K context window handles long documents comfortably. Its main limitation is that it lacks vision support, and its agentic index is relatively low compared to top-tier models, so complex multi-step agent pipelines may underperform.
Pricing is competitive at $0.36 input and $0.40 output per million tokens. Teams comfortable self-hosting or using third-party API providers will find good value here, particularly for content and coding tasks where frontier-level reasoning is not required.
Assessed June 17, 2026
Editorial notes
Qwen2.5 72B Instruct from Alibaba delivers strong general reasoning, solid coding, and full tool-use and function-calling support at competitive pricing, though provider adoption in enterprise workflows remains limited.
Rankings consider pricing, capabilities, benchmarks, and real-world applicability and are refreshed as new models launch. Feedback?
Performance Profile
How Qwen2.5 72B Instruct compares
Qwen2.5 72B Instruct ranks #228 of 380 AI models we track for overall intelligence, #219 of 317 for coding, #183 of 292 for agentic tasks. Its 131K-token context window is larger than 59% of the models we list. At $0.36 per million input tokens it is cheaper than 39% of comparable models.
About Qwen2.5 72B Instruct
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 professional 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.
Leaderboard Categories
External Resources
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Frequently asked questions about Qwen2.5 72B Instruct
How much does Qwen2.5 72B Instruct cost?
Qwen2.5 72B Instruct costs $0.36 per million input tokens and $0.40 per million output tokens.
What is the context window of Qwen2.5 72B Instruct?
Qwen2.5 72B Instruct has a context window of 131,072 tokens (131K).
Is Qwen2.5 72B Instruct good for coding?
On our coding benchmark index, Qwen2.5 72B Instruct ranks #219 of 317 models, placing it in the broader range of the field for code generation and debugging.
What can Qwen2.5 72B Instruct do?
Qwen2.5 72B Instruct supports tool use and function calling.
Who created Qwen2.5 72B Instruct?
Qwen2.5 72B Instruct is developed by Qwen and was released on September 19, 2024.
Data sourced from OpenRouter API, Artificial Analysis and Hugging Face Open LLM Leaderboard. Scores are editorially curated by our team.
Last updated: June 17, 2026 9:41 am