Qwen model
Qwen3.6 Plus API cost calculator
Qwen3.6 Plus costs $0.33 per 1M input tokens and $1.95 per 1M output tokens on the Qwen API, with a 1M-token context window. A typical request (2K input, 500 output tokens) costs $0.0016 — about $48.75/month at 1,000 requests per day. Use the calculator below to model your exact workload.
Find me a cheaper modelWhat real workloads cost on Qwen3.6 Plus
| Workload | Tokens (in / out) | Per request | Per 1K requests |
|---|---|---|---|
| Chatbot message | 500 / 300 | $0.0007 | $0.75 |
| RAG query with context | 4,000 / 500 | $0.0023 | $2.27 |
| Document summarization | 20,000 / 1,000 | $0.0084 | $8.45 |
| Agent coding session | 100,000 / 5,000 | $0.04 | $42.25 |
Qwen3.6 Plus vs other Qwen models
| Model | Input /1M | Output /1M | Context |
|---|---|---|---|
| Qwen3.6 Plus | $0.33 | $1.95 | 1M |
| Qwen3.8 27B | $0.45 | $3.20 | 1M |
| Qwen3.8 2.4T A95B | $2 | $6 | 1.0M |
| Qwen3.8 Max | $2 | $6 | 1M |
| Qwen3.7 Flash | $0.03 | $0.13 | 1M |
Frequently asked questions
How much does Qwen3.6 Plus cost per 1M tokens?
According to current pricing data, Qwen3.6 Plus costs $0.33 per 1M input tokens and $1.95 per 1M output tokens. Processing 1M tokens each way costs $2.27.
What does a typical API request to Qwen3.6 Plus cost?
A typical request with 2,000 input tokens and 500 output tokens costs $0.0016. At 1,000 requests per day that is $1.63 daily, or about $48.75 per month.
What is Qwen3.6 Plus's context window?
Qwen3.6 Plus supports a 1M-token context window (1,000,000 tokens).
Does Qwen3.6 Plus support prompt caching?
No cache-read pricing is published for Qwen3.6 Plus, so every input token is billed at the full $0.33 per 1M rate.
What is a cheaper alternative to Qwen3.6 Plus?
Ling-2.6-flash from Inclusionai is currently the cheapest comparable option at $0.01 per 1M input tokens versus $0.33 for Qwen3.6 Plus — roughly 33x cheaper on input.
Compare all current prices on the live model pricing dashboard, see Qwen3.6 Plus vs Ling-2.6-flash pricing, or run Qwen3.6 Plus head-to-head against other models in the side-by-side comparison playground.
Pricing data via the OpenRouter models API.