Qwen3.5 397B A17B Pricing
FastQwen · 262K tokens context
Qwen3.5 397B A17B from Qwen costs $0.390 per 1 million input tokens and $2.34 per 1 million output tokens as of June 2026 (live OpenRouter data). The model supports a 262,144-token context window (approximately 196,608 words) with a 66K-token maximum output. A typical 1,000-token request costs $0.0004 in input charges; a 10,000-token request costs $0.0039.
| Input price | $0.390 / 1M tokens |
|---|---|
| Output price | $2.34 / 1M tokens |
| Output / input ratio | 6.0× |
| Context window | 262,144 tokens (~196,608 words) |
| Maximum output | 65,536 tokens |
| Cost per 1K tokens (input) | $0.0004 |
| Tier | Fast |
| Last verified |
The Qwen3. 5 series 397B-A17B native vision-language model is built on a hybrid architecture that integrates a linear attention mechanism with a sparse mixture-of-experts model, achieving higher inference efficiency.
Input Price
$0.390
per 1 million tokens
Output Price
$2.34
per 1 million tokens
Context Window
262K tokens
max 66K output
Cost Examples
| Request Type | Tokens | Input Cost | Output Cost |
|---|---|---|---|
| 1,000 word article | 1,333 | $0.00052 | $0.000936 |
| 10-page document (2,500 words) | 3,333 | $0.0013 | $0.00234 |
| 1,000 lines of code | 5,000 | $0.00195 | $0.00351 |
| 100K token document | 100,000 | $0.039 | $0.0702 |
Output cost estimated at 30% of input token count. Use the calculator for exact figures.
Strengths
- ✓Affordable at $0.39/1M 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 397B A17B Costs
Use the TokenRate calculator to convert any budget, token count, or text into exact Qwen3.5 397B A17B costs — and compare across all models.
Open Calculator →Qwen3.5 397B A17B — FAQ
Related Models
Related Guides