Qwen 3 Coder - Kyma API

Overview

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. Prompt caching is supported, billing repeated prefixes at this model’s cached input rate, 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.

Specs

Field	Value
Model ID	`qwen-3-coder`
Best for	Code generation, debugging
Context window	131,072
Max output tokens	33K
Input modalities	Text
Output modalities	Text
Tool calling	Yes
Structured outputs	Yes
Prompt caching	Yes
Speed	Medium
Cost band	Cheap
Release stage	Stable

Pricing

	Per 1M tokens
Input	$0.33
Output	$1.52

Use this when

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.

Pick something else when

You need vision or multimodal inputs: use gemma-4-31b.
You need faster inference speeds: use deepseek-v4-flash or step-3.7-flash.
You need lower-cost general chat: use llama-3.3-70b.

Example

from openai import OpenAI

client = OpenAI(base_url="https://kymaapi.com/v1", api_key="ky-...")

response = client.chat.completions.create(
    model="qwen-3-coder",
    messages=[{"role": "user", "content": "..."}],
    tools=[...],  # function calling supported
)

Agent query example

Ask the API which models fit, instead of hardcoding an id:

curl "https://kymaapi.com/v1/models?recommended_for=chat&tools=true&quality_tier=strong"

FAQ

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 this model’s cached input rate. Can I use the alias code to call this model? Yes, the alias code resolves directly to qwen-3-coder on Kyma.

Alias	Resolves to
`code`	`qwen-3-coder`

​Overview

​Specs

​Pricing

​Use this when

​Not ideal for

​Pick something else when

​Example

​Agent query example

​FAQ

​Related aliases