Comprehensive side-by-side LLM comparison
Gemini 2.5 Flash leads with 36.1% higher average benchmark score. Gemini 2.5 Flash offers 858.1K more tokens in context window than DeepSeek R1 Distill Qwen 32B. DeepSeek R1 Distill Qwen 32B is $2.50 cheaper per million tokens. Gemini 2.5 Flash supports multimodal inputs. Overall, Gemini 2.5 Flash is the stronger choice for coding tasks.
DeepSeek
DeepSeek R1 Distill Qwen 32B is a language model developed by DeepSeek. It achieves strong performance with an average score of 74.2% across 4 benchmarks. It excels particularly in MATH-500 (94.3%), AIME 2024 (83.3%), GPQA (62.1%). It supports a 256K token context window for handling large documents. The model is available through 1 API provider. It's licensed for commercial use, making it suitable for enterprise applications. Released in 2025, it represents DeepSeek's latest advancement in AI technology.
Gemini 2.5 Flash is a multimodal language model developed by Google. It achieves strong performance with an average score of 62.5% across 14 benchmarks. It excels particularly in Global-MMLU-Lite (88.4%), AIME 2024 (88.0%), FACTS Grounding (85.3%). With a 1.1M token context window, it can handle extensive documents and complex multi-turn conversations. The model is available through 2 API providers. 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.
4 months newer
DeepSeek R1 Distill Qwen 32B
DeepSeek
2025-01-20
Gemini 2.5 Flash
2025-05-20
Cost per million tokens (USD)
DeepSeek R1 Distill Qwen 32B
Gemini 2.5 Flash
Context window and performance specifications
Average performance across 16 common benchmarks
DeepSeek R1 Distill Qwen 32B
Gemini 2.5 Flash
Gemini 2.5 Flash
2025-01-31
Available providers and their performance metrics
DeepSeek R1 Distill Qwen 32B
DeepInfra
Gemini 2.5 Flash
DeepSeek R1 Distill Qwen 32B
Gemini 2.5 Flash
DeepSeek R1 Distill Qwen 32B
Gemini 2.5 Flash
ZeroEval