Qwen3.8 27B Pricing
FastQwen · 1M tokens context
Qwen3.8 27B from Qwen costs $0.045 per 1 million input tokens and $4.40 per 1 million output tokens as of September 2026 (live OpenRouter data). The model supports a 1,000,000-token context window (approximately 750,000 words) with a 236K-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 | $0.045 / 1M tokens |
|---|---|
| Output price | $4.40 / 1M tokens |
| Output / input ratio | 98.0× |
| Context window | 1,000,000 tokens (~750,000 words) |
| Maximum output | 235,929 tokens |
| Cost per 1K tokens (input) | $0.0000 |
| Tier | Fast |
| Last verified |
Qwen3.8 27B is an open-weight dense vision-language model from Qwen.
Input Price
$0.045
per 1 million tokens
Output Price
$4.40
per 1 million tokens
Context Window
1M tokens
max 236K output
Cost Examples
| Request Type | Tokens | Input Cost | Output Cost |
|---|---|---|---|
| 1,000 word article | 1,333 | $0.0000599 | $0.00176 |
| 10-page document (2,500 words) | 3,333 | $0.00015 | $0.0044 |
| 1,000 lines of code | 5,000 | $0.000224 | $0.0066 |
| 100K token document | 100,000 | $0.00449 | $0.132 |
Output cost estimated at 30% of input token count. Use the calculator for exact figures.
Strengths
- ✓Extremely cheap at $0.045/1M input tokens
- ✓Massive 1M-token context window
- ✓Low latency for high-throughput workloads
- ✓Multimodal: understands images as well as text
Limitations
- –Less capable than flagship models on complex reasoning
- –Quality and availability can vary by hosting provider
Best Use Cases
Calculate Qwen3.8 27B Costs
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Open Calculator →Qwen3.8 27B — FAQ
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