Comprehensive side-by-side LLM comparison
Qwen2.5-Coder 32B Instruct leads with 41.7% higher average benchmark score. Gemini 2.0 Flash Thinking supports multimodal inputs. Qwen2.5-Coder 32B Instruct is available on 4 providers. Overall, Qwen2.5-Coder 32B Instruct is the stronger choice for coding tasks.
Gemini 2.0 Flash Thinking is a multimodal language model developed by Google. It achieves strong performance with an average score of 74.3% across 3 benchmarks. Notable strengths include MMMU (75.4%), GPQA (74.2%), AIME 2024 (73.3%). As a multimodal model, it can process and understand text, images, and other input formats seamlessly. Released in 2025, it represents Google's latest advancement in AI technology.
Alibaba Cloud / Qwen Team
Qwen2.5-Coder 32B Instruct is a language model developed by Alibaba Cloud / Qwen Team. It achieves strong performance with an average score of 64.9% across 15 benchmarks. It excels particularly in HumanEval (92.7%), GSM8k (91.1%), MBPP (90.2%). It supports a 256K token context window for handling large documents. 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.
4 months newer
Qwen2.5-Coder 32B Instruct
Alibaba Cloud / Qwen Team
2024-09-19
Gemini 2.0 Flash Thinking
2025-01-21
Context window and performance specifications
Average performance across 18 common benchmarks
Gemini 2.0 Flash Thinking
Qwen2.5-Coder 32B Instruct
Gemini 2.0 Flash Thinking
2024-08-01
Available providers and their performance metrics
Gemini 2.0 Flash Thinking
Qwen2.5-Coder 32B Instruct
DeepInfra
Gemini 2.0 Flash Thinking
Qwen2.5-Coder 32B Instruct
Gemini 2.0 Flash Thinking
Qwen2.5-Coder 32B Instruct
Fireworks
Hyperbolic
Lambda