Qwen: Qwen3.8 27B (batch) API Pricing
Live token cost for Qwen: Qwen3.8 27B (batch) from Qwen. Use the figures below for budgeting, then tune your exact request mix in the interactive calculator. Prices refresh every 24 hours from OpenRouter.
Capabilities
Qwen: Qwen3.8 27B (batch) cost at scale
Estimated monthly cost across common production volumes. Assumes 30-day months and the request shapes shown.
| Tier | Requests / day | In / out tokens | $ / month |
|---|---|---|---|
| Hobby | 1,000 | 500 / 200 | $14.40 |
| Startup | 10,000 | 1,500 / 500 | $372.00 |
| Growth | 100,000 | 3,000 / 800 | $6,240.00 |
| Enterprise | 1,000,000 | 8,000 / 2,000 | $158,400.00 |
Compare Qwen: Qwen3.8 27B (batch) vs.
Frequently asked questions
How much does Qwen: Qwen3.8 27B (batch) cost?
Qwen: Qwen3.8 27B (batch) costs $0.16 per 1M input tokens and $2.00 per 1M output tokens, with cached input at $0.04 per 1M tokens. A typical 1,500-token in / 500-token out request costs $0.00124.
Does Qwen: Qwen3.8 27B (batch) support cached input?
Yes. Qwen: Qwen3.8 27B (batch) supports prompt caching at $0.04 per 1M cached input tokens. Reuse the same system prompt or context across requests to cut input cost dramatically.
What is the Qwen: Qwen3.8 27B (batch) context window?
Qwen: Qwen3.8 27B (batch) supports a context window of 262,144 tokens (262K). Max output per response is 235,929 tokens.
What is Qwen: Qwen3.8 27B (batch) good for?
Qwen: Qwen3.8 27B (batch) is a good fit for general-purpose LLM tasks via the Qwen API — chat, code, writing, summarization. For other use cases, run your specific input/output mix through the interactive calculator to compare against alternative models.