Specifications
Context Window
131K tokens
Input Price/1M
$0.46
Output Price/1M
$1.82
Parameters
—
Max Output
8K tokens
Benchmarks
Qwen: Qwen3 235B A22B results on the main AI model evaluation benchmarks. Higher scores indicate better performance.
Coding
| Benchmark | Score | Maximum | Methodology |
|---|---|---|---|
| LiveBench Coding | 69.0 | 100.0 | Contamination-free benchmark with objective ground-truth answers |
| LiveCodeBench | 62.2 | 100.0 | Artificial Analysis official API |
| AA Coding Index | 17.4 | 100.0 | Artificial Analysis official API |
Data Analysis
| Benchmark | Score | Maximum | Methodology |
|---|---|---|---|
| LiveBench Data Analysis | 52.2 | 100.0 | Contamination-free benchmark with objective ground-truth answers |
Language
| Benchmark | Score | Maximum | Methodology |
|---|---|---|---|
| LiveBench Language | 69.5 | 100.0 | Contamination-free benchmark with objective ground-truth answers |
Math
| Benchmark | Score | Maximum | Methodology |
|---|---|---|---|
| MATH-500 | 93.0 | 100.0 | Artificial Analysis official API |
| AA Math Index | 82.0 | 100.0 | Artificial Analysis official API |
| AIME 2025 | 82.0 | 100.0 | Artificial Analysis official API |
| LiveBench Math | 73.4 | 100.0 | Contamination-free benchmark with objective ground-truth answers |
overall
| Benchmark | Score | Maximum | Methodology |
|---|---|---|---|
| LMArena Elo | 1399.0 | 2000.0 | Crowdsourced blind pairwise comparisons |
| LiveBench Global | 53.0 | 100.0 | Contamination-free benchmark with objective ground-truth answers |
| AA Intelligence Index | 19.8 | 100.0 | Artificial Analysis official API |
Reasoning
| Benchmark | Score | Maximum | Methodology |
|---|---|---|---|
| MMLU Pro | 82.8 | 100.0 | Artificial Analysis official API |
| GPQA Diamond | 70.0 | 100.0 | Artificial Analysis official API |
| LiveBench Reasoning | 59.4 | 100.0 | Contamination-free benchmark with objective ground-truth answers |
Information
- Release date
- April 28, 2025
- Tool Calling
- ❌ Not supported
- Vision
- ❌ Not supported
- Audio
- ❌ Not supported
Full Analysis: Qwen: Qwen3 235B A22B
What is Qwen: Qwen3 235B A22B?
Qwen: Qwen3 235B A22B is an AI model developed by Alibaba, classified as a large language model (LLM). It focuses on text processing and natural language generation. As an open source model, it is available for download, customization, and on-premises deployment. With a context window of 131K tokens, it is suitable for processing long documents such as contracts, books, and complete codebases.
Pricing & Costs in 2026
Qwen: Qwen3 235B A22B is usage-based, priced at $0.455/1M input tokens and $1.82/1M output tokens. For context: 1 million tokens is approximately 750,000 words, or about 10 average-length books. At this aggressive price point, it is one of the most cost-effective options on the market, ideal for high-volume applications like chatbots, bulk document analysis, and automation.
Benchmarks & Performance
Qwen: Qwen3 235B A22B was evaluated on 15 different benchmarks, covering categories like Coding, Data Analysis, Language, Math, overall, Reasoning. Results show exceptional performance across available evaluations.
It's important to note that benchmarks measure specific aspects and don't capture the full user experience. Factors like instruction adherence, behavior in long conversations, and real-world task quality vary significantly between models and aren't always reflected in standard scores.
Recommended Use Cases
Qwen: Qwen3 235B A22B is suitable for a wide range of AI applications: long document analysis (contracts, legal proceedings, codebases), high-volume chatbots and automated support, text generation, summarization, translation, and general assistance.
Comparison with Alternatives
In the 2026 AI model ecosystem, Qwen: Qwen3 235B A22B competes directly with similarly capable models. Alibaba competes in this segment against OpenAI, Anthropic, Google, and Meta. The choice between models depends on the specific use case, budget, latency requirements, and need for features like multimodality and tool calling.
For a detailed side-by-side comparison, use our comparison tool or check the overall model ranking.
Frequently Asked Questions
What is Qwen: Qwen3 235B A22B?
Qwen: Qwen3 235B A22B is an AI model developed by Alibaba. It is a language model (LLM), open source.
How much does Qwen: Qwen3 235B A22B cost?
Qwen: Qwen3 235B A22B costs $0.455/1M input tokens and $1.82/1M output tokens. For heavy usage (e.g., a chatbot handling 100k messages/month), costs can range from $10 to $1,000 depending on volume.
How does Qwen: Qwen3 235B A22B compare with other models?
In available benchmarks, Qwen: Qwen3 235B A22B scored: LiveBench Coding: 68.97/100, LiveCodeBench: 62.2/100, AA Coding Index: 17.4/100. See the full table above for a detailed comparison.
Is Qwen: Qwen3 235B A22B open source?
Yes, Qwen: Qwen3 235B A22B is an open source model. You can deploy it on-premises, customize it via fine-tuning, and maintain full control over your data. Check the official repository for the specific license.
What is Qwen: Qwen3 235B A22B best for?
Qwen: Qwen3 235B A22B excels at general-purpose language tasks. With its large context window, it handles long documents, codebases, and extended conversations.
Last updated: June 01, 2026 • View methodology →