Qwen: Qwen2.5 7B Instruct
Analysis Summary
Qwen2.5 7B Instruct is Alibaba's 7B parameter instruction-tuned model, offering a 128K context window at very competitive pricing. No benchmark data is attached to this listing, so reasoning and coding capability cannot be verified directly, though the Qwen2.5 family generally performs well for its size class.
For businesses, the lack of tool use, function calling, or vision support limits its utility for agentic or multimodal workflows. It may serve well for lightweight summarisation, translation, or structured text tasks where cost efficiency is the priority.
At $0.04 input and $0.10 output per million tokens, it is among the most affordable options in the database. A provider accessibility penalty applies given limited enterprise adoption in enterprises. Teams comfortable with self-hosting or API access through third-party providers may find it a cost-effective option for high-volume, low-complexity tasks.
Assessed June 6, 2026
Editorial notes
Qwen2.5 7B Instruct is a compact Alibaba model with a 128K context window and very low pricing, but has no benchmark data in this listing and carries a provider accessibility penalty.
Rankings consider pricing, capabilities, benchmarks, and real-world applicability and are refreshed as new models launch. Feedback?
Performance Profile
How Qwen: Qwen2.5 7B Instruct compares
Its 131K-token context window is larger than 59% of the models we list. At $0.04 per million input tokens it is cheaper than 74% of comparable models.
About Qwen: Qwen2.5 7B Instruct
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..
Capabilities
Architecture Detail
| Instruct Type | chatml |
How does Qwen: Qwen2.5 7B Instruct stack up?
Compare side-by-side with other legacy models.
Model Information
| OpenRouter ID |
qwen/qwen-2.5-7b-instruct
|
| Provider | qwen |
| Release Date | October 16, 2024 |
| Context Length | 131,072 tokens |
| Max Completion | 32,768 tokens |
| Status | Active |
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.
Leaderboard Categories
External Resources
Explore Related Models
Frequently asked questions about Qwen: Qwen2.5 7B Instruct
How much does Qwen: Qwen2.5 7B Instruct cost?
Qwen: Qwen2.5 7B Instruct costs $0.04 per million input tokens and $0.10 per million output tokens.
What is the context window of Qwen: Qwen2.5 7B Instruct?
Qwen: Qwen2.5 7B Instruct has a context window of 131,072 tokens (131K).
What can Qwen: Qwen2.5 7B Instruct do?
Qwen: Qwen2.5 7B Instruct supports tool use and function calling.
Who created Qwen: Qwen2.5 7B Instruct?
Qwen: Qwen2.5 7B Instruct is developed by Qwen and was released on October 16, 2024.
Data sourced from OpenRouter API, Artificial Analysis and Hugging Face Open LLM Leaderboard. Scores are editorially curated by our team.
Last updated: June 19, 2026 8:38 pm