Qwen 3 32B by Qwen demonstrates competitive pricing. View detailed benchmark data including scores across coding, math, reasoning, speed, and cost metrics.
General Benchmarks
Coding Benchmarks
Reasoning Benchmarks
Speed Benchmarks
Cost Benchmarks
Context Benchmarks
Qwen 3 32B — Benchmark Scores Overview
Scores normalized to percentage scale for visual comparison. ELO scores mapped to 0-100 range (1100-1500).
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Qwen 3 32B — Frequently Asked Questions
How intelligent is Qwen 3 32B?
Qwen 3 32B scores 1250 on the Chatbot Arena ELO rating, making it a mid-tier AI model. This score is based on blind head-to-head human preference voting.
How much does Qwen 3 32B cost?
Qwen 3 32B costs $0.10 per 1M input tokens and $0.30 per 1M output tokens. This makes it one of the more affordable models.
How fast is Qwen 3 32B?
Qwen 3 32B generates output at 120 tokens per second, which is moderate compared to other models. The time to first token is 200 ms.
How good is Qwen 3 32B at coding?
Qwen 3 32B achieves 30.0% on SWE-bench Verified, demonstrating moderate real-world software engineering capability. This benchmark tests the model's ability to resolve actual GitHub issues.
How good is Qwen 3 32B at math and reasoning?
Qwen 3 32B scores 72.0% on the MATH benchmark (competition-level mathematics). It also achieves 42.0% on GPQA Diamond, a graduate-level science reasoning benchmark.
What is the context window of Qwen 3 32B?
Qwen 3 32B has a context window of 131K tokens. This determines how much text, conversation history, and code the model can process in a single request.
Who created Qwen 3 32B?
Qwen 3 32B was created by Qwen. It is classified as a open source model in the AI Value Index.
Is Qwen 3 32B open source?
Yes, Qwen 3 32B is an open-source model. The model weights are publicly available for download and self-hosting.