Qwen model
Qwen3.6 27B API cost calculator
Qwen3.6 27B costs $0.60 per 1M input tokens and $3.60 per 1M output tokens on the Qwen API, with a 262K-token context window. A typical request (2K input, 500 output tokens) costs $0.0030 — about $90.00/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 27B
| Workload | Tokens (in / out) | Per request | Per 1K requests |
|---|---|---|---|
| Chatbot message | 500 / 300 | $0.0014 | $1.38 |
| RAG query with context | 4,000 / 500 | $0.0042 | $4.20 |
| Document summarization | 20,000 / 1,000 | $0.02 | $15.60 |
| Agent coding session | 100,000 / 5,000 | $0.08 | $78.00 |
Qwen3.6 27B vs other Qwen models
| Model | Input /1M | Output /1M | Context |
|---|---|---|---|
| Qwen3.6 27B | $0.60 | $3.60 | 262K |
| 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 27B cost per 1M tokens?
According to current pricing data, Qwen3.6 27B costs $0.60 per 1M input tokens and $3.60 per 1M output tokens. Processing 1M tokens each way costs $4.20.
What does a typical API request to Qwen3.6 27B cost?
A typical request with 2,000 input tokens and 500 output tokens costs $0.0030. At 1,000 requests per day that is $3.00 daily, or about $90.00 per month.
What is Qwen3.6 27B's context window?
Qwen3.6 27B supports a 262K-token context window (262,144 tokens).
Does Qwen3.6 27B support prompt caching?
Yes. Cached input tokens cost $0.12 per 1M — a 80% discount versus the standard input rate, which matters for agents and chat apps that resend the same system prompt.
What is a cheaper alternative to Qwen3.6 27B?
Ling-2.6-flash from Inclusionai is currently the cheapest comparable option at $0.01 per 1M input tokens versus $0.60 for Qwen3.6 27B — roughly 60x cheaper on input.
Compare all current prices on the live model pricing dashboard, see Qwen3.6 27B vs Ling-2.6-flash pricing, or run Qwen3.6 27B head-to-head against other models in the side-by-side comparison playground.
Pricing data via the OpenRouter models API.