Qwen3 235B A22B
VerifiedOpen-weight LLM built for long-context text tasks.
About Qwen3 235B A22B
The Qwen3 235B A22B model follows a transformer-based design for text processing. It accepts input sequences up to 131072 tokens in length. Its open-weight release allows direct inspection and modification of parameters.
Strengths include flexible adaptation to extended documents and conversations. The model is suited for tasks that require maintaining coherence across large amounts of text. Alibaba Qwen developed it to serve both academic and applied NLP workflows.
Typical usage covers research experiments, domain-specific fine-tuning, and integration into chat or analysis tools. Developers can run it locally or on cloud infrastructure thanks to its open weights. It is positioned for any text-centric application needing substantial context capacity.
Capabilities
How Qwen3 235B A22B compares
Qwen3 235B A22B (striped bar) vs other language models on intelligence, speed and price.
Price
USD per 1M output tokens · Lower is better · Qwen3 235B A22B ranks #73 of 98
Sources: Artificial Analysis (intelligence, speed) · OpenRouter (price).
Best for
Long-context document analysis
The 131072-token context window enables processing of extensive reports, codebases, or research papers in a single pass for summarization or question answering.
Multilingual reasoning tasks
Qwen models from Alibaba demonstrate strong performance across Chinese and English benchmarks, supporting accurate translation and cross-lingual inference.
Complex coding assistance
Large parameter scale supports generation and debugging of sophisticated algorithms and multi-file projects with coherent structure.
Strengths & limitations
Strengths
- +Strong coding and math performance
- +Excellent Chinese-English bilingual ability
- +Efficient MoE architecture
- +Extended 128k context handling
Limitations
- –Text-only modality
- –High inference compute cost
- –Knowledge cutoff inherent to training data
Cost calculator
Estimate what Qwen3 235B A22B would cost for your usage.
Based on Qwen3 235B A22B's $0.45/1M input · $1.82/1M 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/qwen3-235b-a22b",
messages: [{ role: "user", content: "Hello!" }],
});
console.log(completion.choices[0].message.content);Model slug: qwen/qwen3-235b-a22b
Editor's verdict
Qwen3 235B A22B is Alibaba Qwen's open-weight language models with a 131K-token context window.
At $1.82 per 1M output tokens, it is mid-priced for its class.
As an open-weight model you can self-host it or call it through a hosted API.
Best suited to strong coding and math performance and excellent chinese-english bilingual ability.
Frequently asked questions
The model supports a context window of 131072 tokens.
User reviews
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