Qwen: Qwen2.5 7B Instruct
Qwen2.5 7B Instruct is capable of handling text inputs within a context length of 32,768 tokens and can generate up to 29,491 completion tokens. This model supports tools integration but lacks reasoning capabilities and does not provide structured output. It can process text-only inputs and, while not benchmarked against industry standards yet, offers competitive pricing at $0.1 per million input tokens and $0.2 per million output tokens. Suitable for users who prioritize tool support and need a model within their budget despite the absence of extensive benchmarking data.
- Model ID
- qwen/qwen-2.5-7b-instruct
- Vendor
- qwen
- Released
- October 2024
- Tokenizer
- Qwen
- Input Modalities
- text
- Output Modalities
- text
- Max Output
- 29,491 tokens
- Tool Calling
- ✓ supported
- Structured Output
- ✓ supported
- Reasoning Mode
- not supported
- Vision
- text only
- Audio
- no
- Moderated
- no
What it costs in practice
Computed from the current $0.10/M input and $0.20/M output rates. Run your own numbers →
| Job | Tokens | Cost |
|---|---|---|
| Summarize a 50-page report | 30k in / 1.5k out | under $0.01 |
| Classify 1,000 customer emails | 500k in / 50k out | $0.06 |
| A month of a busy support chatbot | 5M in / 2M out | $0.90 |
Price & spec history
Tracked daily by PicksByModel since 2026-07-17.
| Date | Input /M | Output /M | Context |
|---|---|---|---|
| 2026-07-30 | $0.10 | $0.20 | 32,768 |
| 2026-07-22 | $0.04 | $0.10 | 32,768 |
| 2026-07-17 | $0.04 | $0.10 | 131,072 |
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Quick answers
- How much does Qwen: Qwen2.5 7B Instruct cost?
- $0.10 per million input tokens and $0.20 per million output tokens.
- What is Qwen: Qwen2.5 7B Instruct's context window?
- 32,768 tokens, roughly 49 pages of text in a single request.
- Does Qwen: Qwen2.5 7B Instruct support tool calling?
- It supports tool calling, structured output.
- Can Qwen: Qwen2.5 7B Instruct process images?
- No, it is text-only on the input side.