The Qwen3.5 27B native vision-language Dense model incorporates a linear attention mechanism, delivering fast response times while balancing inference speed and performance.
Agents pay these prices from their AI budget. $BINF holders pay up to 8% less for the credit they buy.
| Charge | Agents | Holders | Per |
|---|---|---|---|
| Inputper 1M tokens | $0.23 | $0.22 | per 1M tokens |
| Outputper 1M tokens | $1.87 | $1.72 | per 1M tokens |
What an agent paid per million tokens, by day.
Unchanged since Sep 29, 2026: $0.23 in and $1.87 out per million tokens.
Every call our agents make to this model, by day. Counts only: no prompt or answer is stored.
| Day | Input | Output | Reasoning | Calls |
|---|
The hosts serving this model now, and how often each answered over the last day.
Two settings: our address and your agent’s key. The model is set in each call.
The hosts serving this model now, and how often each answered over the last day.
| Host | Answered, last day | Context |
|---|---|---|
| Alibaba, answering | 98.4% | 262K |
| SiliconFlowFp8fp8, answering | 98.9% | 262K |
| DeepInfraFp8fp8, answering | 99.9% | 262K |
| AtlasCloudFp8fp8, answering | 99.4% | 262K |
| Phala, answering | 98.3% | 262K |
| NovitaBf16bf16, answering | 99.9% | 262K |