Context Window
—
Input Price/1M
$0.15
Output Price/1M
$0.59
Parameters
—
Speed
100 tok/s
Qwen3 32B (Non-reasoning) results on the main AI model evaluation benchmarks. Higher scores indicate better performance.
| Benchmark | Score | Maximum | Methodology |
|---|---|---|---|
| LiveCodeBench | 54.6 | 100.0 | Artificial Analysis official API |
| AA Coding Index | 13.8 | 100.0 | Artificial Analysis official API |
| Benchmark | Score | Maximum | Methodology |
|---|---|---|---|
| MATH-500 | 96.1 | 100.0 | Artificial Analysis official API |
| AA Math Index | 73.0 | 100.0 | Artificial Analysis official API |
| AIME 2025 | 73.0 | 100.0 | Artificial Analysis official API |
| Benchmark | Score | Maximum | Methodology |
|---|---|---|---|
| AA Intelligence Index | 16.5 | 100.0 | Artificial Analysis official API |
| Benchmark | Score | Maximum | Methodology |
|---|---|---|---|
| MMLU Pro | 79.8 | 100.0 | Artificial Analysis official API |
| GPQA Diamond | 66.8 | 100.0 | Artificial Analysis official API |
Qwen3 32B (Non-reasoning) is an AI model developed by Alibaba, classified as a text model. It focuses on text processing and natural language generation. As a proprietary model, it is available via Alibaba's cloud API.
Qwen3 32B (Non-reasoning) is usage-based, priced at $0.15/1M input tokens and $0.59/1M 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.
Qwen3 32B (Non-reasoning) was evaluated on 8 different benchmarks, covering categories like Coding, 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.
Qwen3 32B (Non-reasoning) specializes in text, offering advanced capabilities for creating and processing text content.
In the 2026 AI model ecosystem, Qwen3 32B (Non-reasoning) 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.
Qwen3 32B (Non-reasoning) is an AI model developed by Alibaba. It is a text model.
Qwen3 32B (Non-reasoning) costs $0.15/1M input tokens and $0.59/1M output tokens. For heavy usage (e.g., a chatbot handling 100k messages/month), costs can range from $10 to $1,000 depending on volume.
In available benchmarks, Qwen3 32B (Non-reasoning) scored: LiveCodeBench: 54.6/100, AA Coding Index: 13.8/100, MATH-500: 96.1/100. See the full table above for a detailed comparison.
No, Qwen3 32B (Non-reasoning) is a proprietary model from Alibaba. It is available via cloud API. For open source alternatives, check our open source model ranking.
Qwen3 32B (Non-reasoning) excels at general-purpose language tasks.
Last updated: May 20, 2026 • View methodology →