Qwen: Qwen2.5 7B Instruct
Qwen2.5 7B Instruct is a compact model with tool use and function calling at a very low price, but no benchmark data is available for this variant. Best considered for lightweight or cost-sensitive tasks where a small model is acceptable.
Assessment date: March 14, 2026
Our methodology takes into account a range of factors including pricing, functionality, capabilities, benchmark performance, and real-world applicability. Rankings are reviewed and updated regularly as new models are released. Issues with our rankings? Contact us
Qwen2.5 7B 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 mathematics, thanks to our specialized expert models in these domains. - Significant improvements in instruction following, generating long texts (over 8K tokens), understanding structured data (e.g, tables), and generating structured outputs especially JSON. More resilient to the diversity of system prompts, enhancing role-play implementation and condition-setting for chatbots. - Long-context Support up to 128K tokens and can generate up to 8K tokens. - Multilingual support for over 29 languages, including Chinese, English, French, Spanish, Portuguese, German, Italian, Russian, Japanese, Korean, Vietnamese, Thai, Arabic, and more. Usage of this model is subject to Tongyi Qianwen LICENSE AGREEMENT.
Capabilities
Architecture
| Modality | Text → Text |
| Tokenizer | Qwen |
| Instruct Type | chatml |
| Parameters | 7B |
Model Information
Pricing
| Token Type | Cost per 1M tokens | Cost per 1K tokens |
|---|---|---|
| Input | $0.04 | $0.000040 |
| Output | $0.10 | $0.000100 |
Live Performance
Live endpoint metrics — refreshed every 30 minutes.
