Current price verification is unresolved or overdue. These are the last recorded rates; check the official source before budgeting. We do not relabel an old check with today's build date.
Qwen3.6-Flash API Pricing
Qwen3.6-Flash costs $0.25 per 1M input tokens and $1.50 per 1M output tokens. These rates were last verified on .
Published rates and billing units
| Billing dimension | USD list price |
|---|---|
| Input / 1M tokens | $0.25 |
| Cached input / 1M tokens | $0.025 |
| Cache write / 1M tokens | $0.3125 |
| Output / 1M tokens | $1.50 |
| Requests above 256,000 input tokens: Input / 1M tokens | $1.00 |
| Requests above 256,000 input tokens: Cached input / 1M tokens | $0.10 |
| Requests above 256,000 input tokens: Cache write / 1M tokens | $1.25 |
| Requests above 256,000 input tokens: Output / 1M tokens | $4.00 |
Verified 2026-11-09 · Official source · Pricing methodology. Taxes, optional services and account-specific discounts are not included.
Cost examples
These examples use published list prices only. They exclude taxes, enterprise discounts, minimum charges, retries, batch discounts, and provider-specific billing rules.
1M input + 1M output
$5.00
A direct per-million comparison against every other text model.
100K input + 25K output
$0.0625
A compact chat, summarization, or analysis workload.
10M input + 2M output
$18.00
A monthly production estimate for heavier RAG or agent traffic.
75% cached input + 250K output
$1.33
Cached input is about 90% cheaper than standard input at list price.
Calculator for Qwen3.6-Flash
Enter your own input, output, and cached-token assumptions. This calculator is preloaded with only Qwen3.6-Flash, so the result stays focused on this model.
Input cost
$1.00
Output cost
$4.00
Total
$5.00
Long-context rates apply because this request exceeds 256,000 input tokens.
Price history
No list-price movement across 86 daily snapshots from 2026-08-18 to 2026-11-11.
When to use Qwen3.6-Flash
Good fit
- high-volume routing, classification, extraction, summaries, and fallback traffic
- long-document and repository-scale prompts where context window matters
Be careful with
- blind migration without testing your own prompts, latency, and failure modes