Alibaba

Qwen 3 Coder

Name: Qwen 3 Coder
Brand: Alibaba
Price: 0.297 USD
Availability: InStock

#9 on Kyma

Qwen 3 Coder is a text-only language model optimized for code generation and debugging. Developers building code assistants, automated debugging workflows, or agentic systems should use it when they need strong reasoning and tool-use capabilities at a balanced cost.

Modalities

Text → Text

Input

$0.297 /1M

Output

$1.35 /1M

Cached input

$0.0297 /1M90% off

Context

131K

Speed

medium

Performance

Live production data from real requests on Kyma — not synthetic benchmarks.

Rank

of 87 active models

Tokens served

78.9M

all-time

Success rate

96.3%

last 7 days

Median throughput58 tok/s

Total requests3,989

Platform share3.3%

Tokens · last 15 daysJul 19 → Aug 2

Top apps using this model

1Node.js App949.0K tok

Public apps sending the most traffic to this model — a signal of what real workloads it fits.

Pricing

Pay per token. Cached input is billed at 10% of the input rate.

$0.297 /1M input$1.35 /1M output

Hobby10 req/day · 2K in / 500 out

~$0.38/mo

Production1,000 req/day · 2K in / 500 out

~$38.07/mo

Scale20,000 req/day · 2K in / 500 out

~$761/mo

+ Estimate your workload

Requests / day1,000

Input tokens / request2,000

Output tokens / request500

Cache hit rate30%

Estimated monthly cost

$33.26

$1.11 / day on Qwen 3 Coder

Same workload on:

Qwen 3.7 Flash$5.73-83%

Qwen 3.7 Max$269+708%

Estimates use list pricing with cached input billed at the 90%-discount rate. Actual bills depend on real token counts — every response includes its exact cost.

When to use Qwen 3 Coder

Updated 2026-07-29

Where this model earns its cost — and where it doesn't.

Created by Alibaba, this model is purpose-built for code generation and debugging. It supports tool use, structured outputs, and reasoning, with a 131,072-token context window and a 32,768-token maximum output. It processes text-only inputs and outputs.

On Kyma, it routes through an OpenAI-compatible endpoint with automatic failover and a 100% observed success rate. It runs at a median speed of 92 tokens per second. Prompt caching is supported, reducing repeated prefix costs by 90%, and the exact request cost is returned in the usage.cost field.

It does not support vision or multimodal inputs. The medium speed tier means it is not optimized for ultra-low-latency streaming. Output is capped at 32,768 tokens, which may be restrictive for generating extremely large codebases in a single pass.

Automated Code Generation

Translates plain-text requirements into functional code snippets.

Interactive Code Debugging

Identifies logical errors and suggests fixes from stack traces.

Agentic Development Workflows

Coordinates tool calls and structured outputs for multi-step coding tasks.

Conversational Coding Sessions

Maintains context across long debugging sessions within a 131k token window.

Not ideal for: Avoid this model when you need image analysis, multimodal inputs, or ultra-low latency responses for real-time applications.

How it compares

Against the peers people actually weigh it against.

Spec	Qwen 3 Coder	Qwen 3.7 Flash	Qwen 3.7 Max
Input /1M	$0.297	$0.0458	$2.56
Output /1M	$1.35	$0.1987	$7.676
Context	131K	1M	1M
Tools	Yes	Yes	Yes
Reasoning	No	Yes	Yes
Speed	medium	fast	medium

Quick start

Up and running in under two minutes.

1
Create an API key
Sign up and grab a key from the dashboard — $0.50 free credit, no card required.
Get API key →

Make your first request

Drop in your key and send a chat completion — fully OpenAI-compatible.

curl https://kymaapi.com/v1/chat/completions \
  -H "Authorization: Bearer YOUR_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "qwen-3-coder",
    "messages": [
      {"role": "user", "content": "Explain prompt caching in one paragraph."}
    ]
  }'

Stream responses

Add "stream": true to receive tokens as they arrive.

curl https://kymaapi.com/v1/chat/completions \
  -H "Authorization: Bearer YOUR_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "qwen-3-coder",
    "stream": true,
    "messages": [{"role": "user", "content": "Hello!"}]
  }'

FAQ

Common questions about this model.

What is the context window of Qwen 3 Coder?

Qwen 3 Coder has a 131K-token context window — roughly 193 pages of text in a single request.

How much does the Qwen 3 Coder API cost?

$0.297 per 1M input tokens and $1.35 per 1M output tokens, with cached input at $0.0297/1M — a 90% discount on repeated prompt prefixes. No subscription; you pay only for what you use.

Does Qwen 3 Coder support function calling?

Yes — Qwen 3 Coder supports tool/function calling and structured outputs (JSON mode), so it works with agent frameworks out of the box.

How do I use Qwen 3 Coder?

Kyma is OpenAI-compatible: point your SDK's base URL at https://kymaapi.com/v1, use your Kyma API key, and set the model to qwen-3-coder. Signing up is free and includes $0.50 of credit — no card required.

Does this model support image inputs or vision tasks?

No, it is a text-only language model and does not support vision or multimodal inputs.

How does prompt caching affect pricing on Kyma?

Repeated prompt prefixes are billed at 10% of the standard input rate, providing a 90% discount on cached tokens.

Can I use the alias code to call this model?

Yes, the alias code resolves directly to qwen-3-coder on Kyma.

Start with $0.50 free credit — no card required.Create account →

More models by Alibaba

Model	Context	Input	Output
Qwen 3.7 Flash	1M	$0.0458	$0.1987
Qwen 3.7 Plus	1M	$0.4482	$1.793
Qwen 3.7 Max	1M	$2.56	$7.676
Qwen 3.6 Plus	131K	$0.4388	$2.633
Qwen3 Embedding 8B	33K	$0.0135	$0.00
Qwen 3 32B	33K	$0.108	$0.378