Alibaba Cloud: qwen-flash-character

Price, performance, capabilities, and a ready-to-use request for qwen-flash-character.

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qwen-flash-character

AvailableAlibaba CloudChatCached input 80% less

Input / Output: $0.0368 / $0.2206
Context: 8K
Max output: 4K
Modalities: Chat
Capabilities: Prompt Cache

Getting started

Create API key
Create a key in Console, then use it with every model on the platform.

Send your first request

Copy the example for your language and run it against the endpoint.

messagesNative (Messages API)

POST/v1/messages

API format:

curl https://api.tokenlab.sh/v1/messages \
  -H "Content-Type: application/json" \
  -H "x-api-key: sk-xxx" \
  -H "anthropic-version: 2023-06-01" \
  -d '{
    "model": "qwen-flash-character",
    "max_tokens": 1024,
    "messages": [
      {"role": "user", "content": "Hello!"}
    ]
  }'

Pricing

Official price is the model maker's public baseline. TokenLab price is what you pay for this model on TokenLab.

Default

Per 1M tokens

Official price: Input $0.0368 / Output $0.2206 / Cache read $0.007353 / Text Input $0.0368 / Text Output $0.2206
TokenLab price: Input $0.0368 / Output $0.2206 / Cache read $0.007353 / Text Input $0.0368 / Text Output $0.2206
Discount: -

Prompt cache pricing

Cache read

Official price: $0.007353
TokenLab price: $0.007353
Discount: -

	Official pricePer 1M tokens	TokenLab pricePer 1M tokens	Discount
Default	Input $0.0368 / Output $0.2206 / Cache read $0.007353 / Text Input $0.0368 / Text Output $0.2206	Input $0.0368 / Output $0.2206 / Cache read $0.007353 / Text Input $0.0368 / Text Output $0.2206	-

Prompt cache pricing

Cache read

$0.007353

Usage & activity

Success rate is the share of requests that completed. Latency is how long a full response takes; P95 means 95% of requests finished within that time.

Usage & availability

Last 24 hours

No data yet

Model performance

Last updated Sep 17, 2026, 05:06 AM UTC

Metrics appear once privacy and data volume thresholds are met.

Data is based on aggregate user requests, excluding status checks.

Open in Console

Open qwen-flash-character in Console with a prompt ready to edit or send.

Help me try qwen-flash-character with a short message at /v1/messages. Show the reply, latency, and cost.

Use cases

Agents and tools

Handle reasoning, support triage, tool calls, and multi-step tasks.

Coding

Generate, review, or debug code in the tools you already use.

Knowledge assistants

Build chat, search, and retrieval with a clear price and capability profile.

Side-by-side test

Compare response quality, latency, and price side by side.

Prompt examples

Write a concise support reply and list the assumptions behind it.

Review this API design and call out the top three integration risks.

Turn a long changelog into release notes a non-engineer would read.

This model has conditional pricing. Monthly token totals alone cannot produce a reliable estimate; use the detailed pricing for the request specification, cache, and applicable time window.

FAQ

How much does qwen-flash-character cost?

On TokenLab, qwen-flash-character costs Input $0.0368 / Output $0.2206 Per 1M tokens. The pricing table above shows the full breakdown. Rates depend on the billing unit, specification, and usage. Compare matching conditions in the model's detailed pricing; a single rate does not determine the total cost.

What is qwen-flash-character best for?

qwen-flash-character supports Prompt Cache. You can open it directly in Create.

How do I test qwen-flash-character?

Open qwen-flash-character in Create. A sample for /v1/messages will be ready to try.

Which endpoint should qwen-flash-character use?

Use https://api.tokenlab.sh/v1/messages for qwen-flash-character. The request example below shows the matching code shape.

Can I test qwen-flash-character before integrating it?

Yes. Open Console starts a ready draft for qwen-flash-character and keeps your prompt after sign-in, so you don’t lose context.

Which operations does qwen-flash-character support?

qwen-flash-character supports messages. Select an operation above to see its endpoint and request example.