Comprehensive side-by-side LLM comparison
Gemini 1.5 Pro leads with 31.9% higher average benchmark score. Gemini 1.5 Pro offers 1.8M more tokens in context window than Qwen3 32B. Qwen3 32B is $12.10 cheaper per million tokens. Gemini 1.5 Pro supports multimodal inputs. Qwen3 32B is available on 3 providers. Overall, Gemini 1.5 Pro is the stronger choice for coding tasks.
Gemini 1.5 Pro is a multimodal language model developed by Google. It achieves strong performance with an average score of 72.6% across 23 benchmarks. It excels particularly in XSTest (98.8%), HellaSwag (93.3%), GSM8k (90.8%). With a 2.1M token context window, it can handle extensive documents and complex multi-turn conversations. The model is available through 1 API provider. As a multimodal model, it can process and understand text, images, and other input formats seamlessly. Released in 2024, it represents Google's latest advancement in AI technology.
Alibaba Cloud / Qwen Team
Qwen3 32B is a language model developed by Alibaba Cloud / Qwen Team. It achieves strong performance with an average score of 72.0% across 9 benchmarks. It excels particularly in Arena Hard (93.8%), AIME 2024 (81.4%), LiveBench (74.9%). It supports a 256K token context window for handling large documents. The model is available through 3 API providers. It's licensed for commercial use, making it suitable for enterprise applications. Released in 2025, it represents Alibaba Cloud / Qwen Team's latest advancement in AI technology.
12 months newer
Gemini 1.5 Pro
2024-05-01
Qwen3 32B
Alibaba Cloud / Qwen Team
2025-04-29
Cost per million tokens (USD)
Gemini 1.5 Pro
Qwen3 32B
Context window and performance specifications
Average performance across 32 common benchmarks
Gemini 1.5 Pro
Qwen3 32B
Gemini 1.5 Pro
2023-11-01
Available providers and their performance metrics
Gemini 1.5 Pro
Qwen3 32B
Gemini 1.5 Pro
Qwen3 32B
Gemini 1.5 Pro
Qwen3 32B
DeepInfra
Novita
Sambanova