A deployment mode billed by model token usage, supporting only LoRA fine-tuned models. Pay only for what you use. Suitable for post-tuning model validation and low-cost scenarios with low concurrency and latency requirements.
Overview
Billed by token usage (no usage, no charge), this mode supports only some LoRA efficient fine-tuned models. It is suitable for post-tuning model validation and low-cost scenarios with low concurrency and latency requirements. Throughput, concurrency, and generation speed are preset by the platform and cannot be adjusted.
Billing rules
Fee = Model input token count × Model input unit price + Model output token count × Model output unit price (minimum billing unit: 1 token)
Billing by model token usage is supported only after you complete efficient SFT training (that is, LoRA efficient fine-tuning; the plan parameter is set to lora for API deployment) on the following base models and obtain a custom model.
Supported models and pricing
- Beijing
- Singapore
Base Model | Model Code | Input CNY/Million Tokens | Output CNY/Million Tokens |
|---|---|---|---|
Qwen3.5-27B | qwen3.5-27b | <128K ¥0.6 128K-256K ¥1.8 | <128K ¥4.8 128K-256K ¥14.4 |
Qwen3-32B | qwen3-32b | Non-thinking mode:¥2 Thinking mode:¥2 | Non-thinking mode:¥8 Thinking mode:¥20 |
Qwen3-14B | qwen3-14b | Non-thinking mode:¥1 Thinking mode:¥1 | Non-thinking mode:¥4 Thinking mode:¥10 |
Qwen3-8B | qwen3-8b | Non-thinking mode:¥0.5 Thinking mode:¥0.5 | Non-thinking mode:¥2 Thinking mode:¥5 |
Qwen3-VL-8B-Instruct | qwen3-vl-8b-instruct | ¥0.5 | ¥2 |
Qwen3-4B-Instruct-2507 | qwen3-4b-instruct-2507 | Non-thinking mode:¥0.3 Thinking mode:¥0.3 | Non-thinking mode:¥1.2 Thinking mode:¥3 |
Qwen2.5-72B-Instruct (Open Source) | qwen2.5-72b-instruct | ¥4 | ¥12 |
Qwen2.5-VL-72B-Instruct | qwen2.5-vl-72b-instruct | ¥16 | ¥48 |
Qwen2.5-32B-Instruct (Open Source) | qwen2.5-32b-instruct | ¥2 | ¥6 |
Qwen2.5-VL-32B-Instruct | qwen2.5-vl-32b-instruct | ¥8 | ¥24 |
Qwen2.5-14B-Instruct (Open Source) | qwen2.5-14b-instruct | ¥1 | ¥3 |
Qwen2.5-7B-Instruct (Open Source) | qwen2.5-7b-instruct | ¥0.5 | ¥1 |
Qwen2.5-VL-7B-Instruct | qwen2.5-vl-7b-instruct | ¥2 | ¥5 |
LoRA deployment
Token-based deployment supports only LoRA fine-tuned models. Set plan to lora when creating via API. The capacity parameter has no effect but is required; to scale, submit an application form on the Model Studio console.
For the complete example of creating a deployment via API, see API deployment guide.
Scaling
For token-usage-based deployments, scaling requires submitting an application form on the console and waiting for manual review. Self-service scaling is not supported.
FAQ
What happens if the deployment is not used for a month?
What happens if the deployment is not used for a month?
How do I switch to another billing method?
How do I switch to another billing method?