Qwen2.5 7B Instruct Pricing
FastQwen · 131K tokens context
Qwen2.5 7B Instruct from Qwen costs $0.040 per 1 million input tokens and $0.100 per 1 million output tokens as of June 2026 (live OpenRouter data). The model supports a 131,072-token context window (approximately 98,304 words) with a 33K-token maximum output. A typical 1,000-token request costs $0.0000 in input charges; a 10,000-token request costs $0.0004.
| Input price | $0.040 / 1M tokens |
|---|---|
| Output price | $0.100 / 1M tokens |
| Output / input ratio | 2.5× |
| Context window | 131,072 tokens (~98,304 words) |
| Maximum output | 32,768 tokens |
| Cost per 1K tokens (input) | $0.0000 |
| Tier | Fast |
| Last verified |
Qwen2. 5 7B is the latest series of Qwen large language models.
Input Price
$0.040
per 1 million tokens
Output Price
$0.100
per 1 million tokens
Context Window
131K tokens
max 33K output
Cost Examples
| Request Type | Tokens | Input Cost | Output Cost |
|---|---|---|---|
| 1,000 word article | 1,333 | $0.0000533 | $0.00004 |
| 10-page document (2,500 words) | 3,333 | $0.000133 | $0.0001 |
| 1,000 lines of code | 5,000 | $0.0002 | $0.00015 |
| 100K token document | 100,000 | $0.004 | $0.003 |
Output cost estimated at 30% of input token count. Use the calculator for exact figures.
Strengths
- ✓Extremely cheap at $0.040/1M input tokens
- ✓Low latency for high-throughput workloads
- ✓Cost-effective at scale
Limitations
- –Less capable than flagship models on complex reasoning
- –Quality and availability can vary by hosting provider
Best Use Cases
Calculate Qwen2.5 7B Instruct Costs
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Open Calculator →Qwen2.5 7B Instruct — FAQ
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