Comprehensive side-by-side LLM comparison
Qwen3 32B leads with 11.8% higher average benchmark score. Qwen3 32B offers 215.0K more tokens in context window than Gemini 1.0 Pro. Qwen3 32B is $1.60 cheaper per million tokens. Qwen3 32B is available on 3 providers. Overall, Qwen3 32B is the stronger choice for coding tasks.
Gemini 1.0 Pro is a language model developed by Google. The model shows competitive results across 9 benchmarks. Notable strengths include BIG-Bench (75.0%), MMLU (71.8%), WMT23 (71.7%). The model is available through 1 API provider. 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.
1 year newer
Gemini 1.0 Pro
2024-02-15
Qwen3 32B
Alibaba Cloud / Qwen Team
2025-04-29
Cost per million tokens (USD)
Gemini 1.0 Pro
Qwen3 32B
Context window and performance specifications
Average performance across 18 common benchmarks
Gemini 1.0 Pro
Qwen3 32B
Gemini 1.0 Pro
2024-02-01
Available providers and their performance metrics
Gemini 1.0 Pro
Qwen3 32B
Gemini 1.0 Pro
Qwen3 32B
Gemini 1.0 Pro
Qwen3 32B
DeepInfra
Novita
Sambanova