Qwen3 30B A3B
VerifiedOpen-weight LLM with 131k context for extended text tasks.
About Qwen3 30B A3B
Built on the Qwen3 series architecture, this model provides full access to its weights for customization. Its 131k token context enables processing of long documents and multi-turn dialogues without truncation. The design emphasizes flexibility for both academic and commercial use cases.
Strengths include strong text generation and comprehension capabilities suited to general-purpose language tasks. As an open-weight release, it allows developers to run inference locally or on cloud infrastructure. Typical usage involves chat interfaces, summarization pipelines, and domain-specific adaptations.
Capabilities
How Qwen3 30B A3B compares
Qwen3 30B A3B (striped bar) vs other language models on intelligence, speed and price.
Price
USD per 1M output tokens · Lower is better · Qwen3 30B A3B ranks #32 of 98
Sources: Artificial Analysis (intelligence, speed) · OpenRouter (price).
Best for
Long-Document Reasoning
The model processes and reasons over inputs up to 131072 tokens, making it suitable for summarizing extensive reports or extracting insights from lengthy technical documentation.
Code and Math Workflows
It performs code generation and mathematical problem solving while supporting instruction following, enabling reliable assistance in algorithm development and quantitative analysis tasks.
Multilingual Tool-Integrated Applications
With multilingual text generation and tool use capabilities, the model supports building chat systems that handle multiple languages and integrate external function calls.
Strengths & limitations
Strengths
- +Strong reasoning and coding performance
- +Effective handling of extended contexts
- +Solid multilingual support
- +Efficient architecture for its parameter count
Limitations
- –Text-only modality
- –Requires substantial compute for inference
- –General LLM limitations such as occasional hallucinations
Cost calculator
Estimate what Qwen3 30B A3B would cost for your usage.
Based on Qwen3 30B A3B's $0.12/1M input · $0.50/1M output. Estimate only — actual cost varies by provider and caching.
Quick start
OpenRouter's API is OpenAI-compatible — most SDKs work by just swapping the base URL. Only the model slug changes between models.
import OpenAI from "openai";
const client = new OpenAI({
baseURL: "https://openrouter.ai/api/v1",
apiKey: process.env.OPENROUTER_API_KEY,
});
const completion = await client.chat.completions.create({
model: "qwen/qwen3-30b-a3b",
messages: [{ role: "user", content: "Hello!" }],
});
console.log(completion.choices[0].message.content);Model slug: qwen/qwen3-30b-a3b
Editor's verdict
Qwen3 30B A3B is Alibaba Qwen's open-weight language models with a 131K-token context window.
At $0.50 per 1M output tokens, it is very cost-efficient for its class.
As an open-weight model you can self-host it or call it through a hosted API.
Best suited to strong reasoning and coding performance and effective handling of extended contexts.
Frequently asked questions
The model supports a context length of 131072 tokens.
User reviews
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