Qwen2.5 72B Instruct
Analysis Summary
Qwen2.5 72B Instruct is a capable open-weight model from Alibaba's Qwen family, with an intelligence index of 15.6 and a strong agentic index of 19.5 for its tier. Tool use and function calling are supported, and the 131K context window handles long documents well. Math performance is a relative strength. Benchmark scores across reasoning and coding are moderate but competitive for the price.
For businesses, it suits structured content generation, tool-augmented pipelines, and moderate-complexity agentic workflows where cost efficiency is important. It is not suited to frontier reasoning tasks or advanced software engineering. The combination of tool use, long context, and low pricing makes it a practical choice for volume workloads.
At $0.36 input and $0.40 output per million tokens, it offers strong value. However, teams should be aware that as an Alibaba model, enterprise support and Western platform availability may require additional evaluation. For self-hosting or API use where those factors are managed, it is a cost-effective workhorse.
Assessed June 6, 2026
Editorial notes
Qwen2.5 72B Instruct delivers strong agentic performance and a high math index relative to its price tier, with tool use and function calling support and a 131K context window, though it carries a regional accessibility penalty.
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 #224 of 378 AI models we track for overall intelligence, #218 of 315 for coding, #182 of 289 for agentic tasks. Its 131K-token context window is larger than 60% 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 #218 of 315 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 11, 2026 8:38 pm