Qwen3.5-27B Pricing
FastQwen · 262K tokens context
Qwen3.5-27B from Qwen costs $0.260 per 1 million input tokens and $2.60 per 1 million output tokens as of October 2026 (live OpenRouter data). The model supports a 262,144-token context window (approximately 196,608 words) with a 82K-token maximum output. A typical 1,000-token request costs $0.0003 in input charges; a 10,000-token request costs $0.0026.
| Input price | $0.260 / 1M tokens |
|---|---|
| Output price | $2.60 / 1M tokens |
| Output / input ratio | 10.0× |
| Context window | 262,144 tokens (~196,608 words) |
| Maximum output | 81,920 tokens |
| Cost per 1K tokens (input) | $0.0003 |
| Tier | Fast |
| Last verified |
The Qwen3.5 27B native vision-language Dense model incorporates a linear attention mechanism, delivering fast response times while balancing inference speed and performance.
Input Price
$0.260
per 1 million tokens
Output Price
$2.60
per 1 million tokens
Context Window
262K tokens
max 82K output
Cost Examples
| Request Type | Tokens | Input Cost | Output Cost |
|---|---|---|---|
| 1,000 word article | 1,333 | $0.000347 | $0.00104 |
| 10-page document (2,500 words) | 3,333 | $0.000867 | $0.0026 |
| 1,000 lines of code | 5,000 | $0.0013 | $0.0039 |
| 100K token document | 100,000 | $0.026 | $0.078 |
Output cost estimated at 30% of input token count. Use the calculator for exact figures.
Strengths
- ✓Affordable at $0.26/1M input tokens
- ✓Large 262K-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 Qwen3.5-27B Costs
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