Alibaba Cloud: Qwen3-Coder-Flash
qwen3-coder-flash- Input / Output
- $0.30 / $1.50
- Context
- 998K
- Max output
- 64K
- Modalities
- Chat
- Capabilities
- Prompt Cache
About Qwen3-Coder-Flash
Qwen3-Coder-Flash is the fast coding model in Alibaba's Qwen3-Coder line, offered through Alibaba Cloud Model Studio for agentic coding: generating code, managing multi-step coding workflows, and debugging across a codebase. The Qwen3-Coder family handles repository-scale context and works with agent tools such as Qwen Code and Cline. It is text-only.
Where it works well
- Built for agentic coding in Alibaba's Qwen3-Coder family.
- Handles repository-scale context, so a question can draw on many files at once instead of one snippet.
- Works with Qwen Code and Cline-style agents.
- Prompt caching lowers repeated prefix work when the same large codebase context is sent again.
When to choose another model
- It is specialized for code; general writing is better left to Qwen3.5 or Qwen3.8 models.
- It takes text only, so screenshots and design mockups need a vision-capable model.
- Newer Qwen generations are the better pick for demanding, long-running agent work.
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.
Text to textResponses APIPOST/v1/responsesAPI format:curl https://api.tokenlab.sh/v1/responses \ -H "Content-Type: application/json" \ -H "Authorization: Bearer sk-xxx" \ -d '{ "model": "qwen3-coder-flash", "input": "Hello!" }'
Pricing
The Verified price applies to Verified, which costs less on most models. The Official price is the model maker's published price and applies to the more reliable Official route. Auto bills the route that completes the request.
Input tokens <= 32K
per 1M tokens- Official price
- Input $0.30 / Output $1.50 / Cache read $0.06 / Cache write $0.375 / Text Input $0.30 / Text Output $1.50
- Verified price
- —
- Discount
- —
Input tokens <= 128K
per 1M tokens- Official price
- Input $0.50 / Output $2.50 / Cache read $0.10 / Cache write $0.625 / Text Input $0.50 / Text Output $2.50
- Verified price
- —
- Discount
- —
Input tokens <= 256K
per 1M tokens- Official price
- Input $0.80 / Output $4.00 / Cache read $0.16 / Cache write $1.00 / Text Input $0.80 / Text Output $4.00
- Verified price
- —
- Discount
- —
Input tokens <= 1M
per 1M tokens- Official price
- Input $1.60 / Output $9.60 / Cache read $0.32 / Cache write $2.00 / Text Input $1.60 / Text Output $9.60
- Verified price
- —
- Discount
- —
Cache read
- Official price
- $0.06
- Verified price
- —
- Discount
- —
Cache write
- Official price
- $0.375
- Verified price
- —
- Discount
- —
| Official priceper 1M tokens | Verified priceper 1M tokens | Discount | |
|---|---|---|---|
| Input tokens <= 32K | Input $0.30 / Output $1.50 / Cache read $0.06 / Cache write $0.375 / Text Input $0.30 / Text Output $1.50 | — | — |
| Input tokens <= 128K | Input $0.50 / Output $2.50 / Cache read $0.10 / Cache write $0.625 / Text Input $0.50 / Text Output $2.50 | — | — |
| Input tokens <= 256K | Input $0.80 / Output $4.00 / Cache read $0.16 / Cache write $1.00 / Text Input $0.80 / Text Output $4.00 | — | — |
| Input tokens <= 1M | Input $1.60 / Output $9.60 / Cache read $0.32 / Cache write $2.00 / Text Input $1.60 / Text Output $9.60 | — | — |
| Prompt cache pricing | |||
| Cache read | $0.06 | — | — |
| Cache write | $0.375 | — | — |
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- Requests
- Success rate
- P95 latency
- Total tokens
Data is based on aggregate user requests, excluding status checks.
Open in Console
Open Qwen3-Coder-Flash in Console with a prompt ready to edit or send.
Help me try qwen3-coder-flash with a short message at /v1/responses. Show the reply, latency, and cost.
Use cases
Best for- Code
Editor completion backends
Serve quick completions and small edits inside an IDE, where the model sees the open files and returns a patch rather than a long essay.
Repository questions
Ask where a behavior lives, which modules call a function, or how a request travels from the router down to the database layer.
Bug fixing from traces
Paste a stack trace with the files it points at and get a proposed patch together with a short explanation of the cause.
Unit test generation
Point it at an existing module and ask for tests covering edge cases, failure paths, and the inputs that are currently untested.
Prompt examples
Add input validation to this Express handler and update its tests.
Explain how requests flow from router to database in these files.
Convert this Python script to Go, keeping behavior identical.
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
What is Qwen3-Coder-Flash for?
It is the fast coding model of Alibaba's Qwen3-Coder line. It is meant for agentic coding: writing new code, managing multi-step coding workflows, and debugging across a whole codebase, rather than general conversation.
Which coding tools work with it?
Alibaba's model card for the Qwen3-Coder line names Qwen Code and Cline as the agentic coding platforms the family is built for. Other editors can use it for ordinary code generation and review requests.
Can Qwen3-Coder-Flash read images?
No. Qwen3-Coder-Flash takes text only, so screenshots, diagrams, and design mockups need a vision-capable Qwen model instead. Paste the relevant code or a written description of the design.
Is it a good choice for non-code chat?
It can answer general questions, but it is tuned for software work. For long documents, writing, or analysis, the Qwen3.5 and Qwen3.8 models are the better fit, and they are broader in what they were trained for.
Is there a newer Qwen option for coding?
Yes. Qwen3.7 and Qwen3.8 models are newer and aimed at stronger agent behavior. Try your own repository on both models before switching a production flow over.
How much does Qwen3-Coder-Flash cost?
On TokenLab, Qwen3-Coder-Flash costs Input $0.30 / Output $1.50 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 are the context window and output limit of Qwen3-Coder-Flash?
Qwen3-Coder-Flash accepts up to 997,952 tokens of context and returns up to 65,536 tokens in one response.
Which endpoint should Qwen3-Coder-Flash use?
Use https://api.tokenlab.sh/v1/responses for Qwen3-Coder-Flash. The request example below shows the matching code shape.
Which operations does Qwen3-Coder-Flash support?
Qwen3-Coder-Flash supports Text to text. Select an operation above to see its endpoint and request example.
Compare Qwen3-Coder-Flash
Sources
Reviewed Oct 2, 2026
