Comprehensive side-by-side LLM comparison
Gemini 2.0 Flash leads with 40.7% higher average benchmark score. Gemini 2.0 Flash offers 991.2K more tokens in context window than QwQ-32B-Preview. Both models have similar pricing. Gemini 2.0 Flash supports multimodal inputs. QwQ-32B-Preview is available on 4 providers. Overall, Gemini 2.0 Flash is the stronger choice for coding tasks.
Gemini 2.0 Flash is a multimodal language model developed by Google. It achieves strong performance with an average score of 66.7% across 13 benchmarks. It excels particularly in Natural2Code (92.9%), MATH (89.7%), FACTS Grounding (83.6%). With a 1.1M 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
QwQ-32B-Preview is a language model developed by Alibaba Cloud / Qwen Team. It achieves strong performance with an average score of 64.0% across 4 benchmarks. It excels particularly in MATH-500 (90.6%), GPQA (65.2%), AIME 2024 (50.0%). The model is available through 4 API providers. It's licensed for commercial use, making it suitable for enterprise applications. Released in 2024, it represents Alibaba Cloud / Qwen Team's latest advancement in AI technology.
3 days newer
QwQ-32B-Preview
Alibaba Cloud / Qwen Team
2024-11-28
Gemini 2.0 Flash
2024-12-01
Cost per million tokens (USD)
Gemini 2.0 Flash
QwQ-32B-Preview
Context window and performance specifications
Average performance across 15 common benchmarks
Gemini 2.0 Flash
QwQ-32B-Preview
Gemini 2.0 Flash
2024-08-01
QwQ-32B-Preview
2024-11-28
Available providers and their performance metrics
Gemini 2.0 Flash
QwQ-32B-Preview
Gemini 2.0 Flash
QwQ-32B-Preview
Gemini 2.0 Flash
QwQ-32B-Preview
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