Deployment scope
The US scope lists the same rates as International. The Global scope (Frankfurt, Virginia, Tokyo, Hong Kong) and the Chinese mainland scope publish lower rates, so a Beijing or Global endpoint can cost less than these rows show.
Alibaba Qwen API Pricing
Alibaba Qwen rows use official Model Studio list prices for the International (Singapore) deployment scope. Some models price by input tokens per request, implicit cache hits map to cached input, and Global or Chinese mainland scopes publish different rates.
- MODELS COVERED
- 4
- DATA SOURCE
- Official Alibaba Qwen
- PRICING UNIT
- Per 1M tokens
- LAST VERIFIED
- Oct 28, 2026
API cost estimate
Estimate Qwen API Cost
Choose a current Alibaba Qwen model from the same pricing rows, enter input tokens, output tokens, and request volume, then review the estimated monthly API cost.
Alibaba Qwen cost planning
Estimate Alibaba Qwen API cost before monthly usage scales.
Start with realistic input tokens, output tokens, model choice, request volume, and any implicit cache-hit and long-context tier pricing rules that apply. Then compare the estimate against current model pricing and budget limits before launch.
Qwen billing semantics
How deployment scope, request tiers, and caching affect Qwen API cost.
These rows use Alibaba Cloud Model Studio list prices for the International (Singapore) deployment scope. Check the scope your account and endpoint use before comparing totals.
Per-request tiers
Qwen3.7 Plus and Qwen Flash price by the input tokens in each request: up to 256K, or 256K to 1M. The tier applies to every token in that request. Qwen3.8 Max and Qwen3.8 Flash use one rate up to 1M.
Caching and promotions
Cached input is the implicit, automatic cache-hit rate. Explicit caching is a separate opt-in mode with its own creation and read prices, listed in each row's billing note. Rows show list prices; limited-time discounts, such as the current Qwen3.7 Plus offer, are noted but not applied.
Dedicated model pages
Pricing by model
Open a model page for its verified source, workload examples, price history, lifecycle details, and nearby alternatives.
Current model pricing
Model costs per 1M tokens.
Null or unverified values are displayed as Not listed, never as zero.
All prices in USD per 1M tokens.
| Model | Input | Output | Cached Input | Verified |
|---|---|---|---|---|
Qwen FlashlatestModel ID: qwen-flashDetailsProvider: Alibaba QwenPrice shown: Standard · Short context · ≤256k input tokens · whole request | Input · USD per 1M input tokens$0.05 | Output · USD per 1M output tokens$0.40 | Cached input · USD per 1M cached input tokens$0.01 | Evidence |
Qwen3.7 PluslatestModel ID: qwen3.7-plusDetailsProvider: Alibaba QwenPrice shown: Standard · Short context · ≤256k input tokens · whole request | Input · USD per 1M input tokens$0.40 | Output · USD per 1M output tokens$1.60 | Cached input · USD per 1M cached input tokens$0.08 | Evidence |
Qwen3.8 FlashlatestModel ID: qwen3.8-flashDetailsProvider: Alibaba QwenPrice shown: Standard | Input · USD per 1M input tokens$0.15 | Output · USD per 1M output tokens$0.47 | Cached input · USD per 1M cached input tokens$0.016 | Evidence |
Qwen3.8 MaxlatestModel ID: qwen3.8-maxDetailsProvider: Alibaba QwenPrice shown: Standard | Input · USD per 1M input tokens$2.00 | Output · USD per 1M output tokens$6.00 | Cached input · USD per 1M cached input tokens$0.25 | Evidence |
Use these Alibaba Qwen pricing rows as planning inputs: calculate your monthly API cost with realistic token counts, or compare this provider with other AI models before routing production traffic.
Long-context pricing
How long-context pricing tiers work.
Some Alibaba Qwen models charge a different rate once a request passes a context threshold. The tables below list each model's published tiers.
Whole-request pricing
When a tier's threshold condition matches, that tier prices the entire standard request. This is a tier switch, not progressive pricing across token bands.
Input token threshold
The 272K pricing threshold is based on input tokens. Cached tokens are included within the API's input token count.
Pricing tiers
Qwen Flash short- and long-context pricing.
Prices in USD per 1M tokens.
| Context tier | Input token rule | Regular input | Cached input | Output | Unit |
|---|---|---|---|---|---|
| Short contextshort | ≤256k input tokens | $0.05 | $0.01 | $0.40 | USD / 1M tokens |
| Long contextlong | >256k input tokens | $0.25 | $0.05 | $2.00 | USD / 1M tokens |
Price-record evidence
Qwen Flash
Model ID: qwen-flash
Provider: Alibaba Qwen
Evidence
Pricing tiers
Qwen3.7 Plus short- and long-context pricing.
Prices in USD per 1M tokens.
| Context tier | Input token rule | Regular input | Cached input | Output | Unit |
|---|---|---|---|---|---|
| Short contextshort | ≤256k input tokens | $0.40 | $0.08 | $1.60 | USD / 1M tokens |
| Long contextlong | >256k input tokens | $1.20 | $0.24 | $4.80 | USD / 1M tokens |
Price-record evidence
Qwen3.7 Plus
Model ID: qwen3.7-plus
Provider: Alibaba Qwen
Evidence
Alibaba Qwen API pricing guide
What is Alibaba Qwen API pricing?
Alibaba Qwen API pricing is the usage-based cost of running Qwen models through API requests. The practical estimate depends on the selected model, input tokens, output tokens, monthly request volume, retries, and any listed caching or discount rules.
How to estimate Alibaba Qwen API cost
Estimate one representative request first: input tokens, expected output tokens, selected Qwen models, request volume, retry rate, and implicit cache-hit and long-context tier pricing assumptions when they are listed. Then multiply by monthly traffic.
Open the Alibaba Qwen API cost calculatorAlibaba Qwen model pricing table
Use the table on this page to compare available Alibaba Qwen rows per 1M tokens. Not listed values stay visible as Not listed, so unknown prices are not accidentally treated as zero.
Compare Alibaba Qwen models
Compare total workflow cost, not only the cheapest input token price. Output length, quality, retries, context size, and fallback routing can change the real monthly API bill.
Compare Alibaba Qwen with other providersAlibaba Qwen model use cases
Which Alibaba Qwen models are usually used for.
Use cases are planning categories, not pricing promises. Estimate each workflow with its own token shape, expected answer length, quality requirement, and fallback behavior.
High-volume, low-cost routes
Qwen3.8 Flash and Qwen Flash are often evaluated for extraction, classification, summarization, and agent sub-steps where per-token cost dominates.
Long-context workloads
Qwen3.7 Plus and Qwen Flash switch to a higher rate for every token once a request exceeds 256K input tokens, so size prompts before routing long documents to them.
Flagship reasoning and coding
Qwen3.8 Max is the flagship option for complex reasoning and coding; compare its flat 1M-context rate against frontier models with long-context surcharges.
Provider comparison
Alibaba Qwen pricing vs OpenAI, Claude, and Gemini.
Compare Alibaba Qwen with DeepSeek, Kimi, Gemini, and OpenAI by input price, output price, cached-input behavior, context needs, latency, quality, and cost per successful task. Always verify current provider pricing before launch or procurement decisions.
Monthly spend control
How to control monthly Alibaba Qwen API spend.
Estimate before launch
Model a normal, high, and worst-case month with expected requests, input tokens, output tokens, retries, and model routes before exposing a feature to real traffic.
Set budget limits
Decide which app, workspace, customer tier, or internal team can spend against the provider budget. Review burn rate weekly during launches and pricing changes.
Reduce avoidable tokens
Shorten repeated instructions, cap output length, avoid sending full history when a summary works, and route routine tasks to lower-cost models when quality testing supports it.
Official sources
Source URLs used for this provider.
Cost examples
- 1M input tokens
- $0.25
- Model
- Qwen Flash
- 1M output tokens
- $0.40
- Model
- Qwen Flash
- 10M input + 2M output
- $6.50
- Model
- Qwen Flash
Calculate a workload with Alibaba Qwen pricing context.
The existing calculator route is linked directly without invented provider or model query parameters.
Pricing data is informational and may lag provider changes. Always verify final billing decisions against provider pricing pages, contracts, dashboards, and invoices.
Alibaba Qwen API pricing FAQ
Alibaba Qwen API pricing FAQ
Alibaba Qwen rows use official Model Studio list prices for the International (Singapore) deployment scope. Some models price by input tokens per request, implicit cache hits map to cached input, and Global or Chinese mainland scopes publish different rates.
How much does the Alibaba Qwen API cost?
Alibaba Qwen API cost depends on the selected model, input tokens, output tokens, request volume, retries, and any implicit cache-hit and long-context tier pricing or discount rules that apply. Use the pricing table and calculator with your own workload assumptions instead of relying on a single average price.
How do I estimate monthly Alibaba Qwen API cost?
Estimate one request with input tokens, expected output tokens, model choice, and current per-1M-token pricing. Then multiply by requests per user, active users, days per month, retry rate, and fallback calls.
Which Alibaba Qwen models are usually used for?
Qwen models are usually evaluated for workflows such as high-volume, low-cost routes, long-context workloads, flagship reasoning and coding. The best route depends on quality, latency, context size, output length, and monthly budget.
Is Alibaba Qwen cheaper than OpenAI, Claude, or Gemini?
Alibaba Qwen can be cheaper or more expensive depending on the exact model, prompt size, output length, cache eligibility, retry rate, and quality target. Compare total workflow cost across providers before switching production traffic.
Why are some Alibaba Qwen prices shown as Not listed?
Not listed means the current local pricing source does not expose a confirmed numeric value for that field. It is intentionally not treated as zero. Check the official Alibaba Qwen pricing page and billing dashboard before launch.
How can I control monthly Alibaba Qwen API spend?
Control spend by setting monthly budget limits, measuring input and output tokens separately, capping output length, reducing repeated context, reviewing retry cost, and comparing model routes before high-volume traffic grows.