Model Comparison
Comprehensive side-by-side analysis of model capabilities and performance

DeepSeek R1 Distill Qwen 32B
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 2.0 Flash Thinking
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.

DeepSeek R1 Distill Qwen 32B
DeepSeek
2025-01-20

Gemini 2.0 Flash Thinking
2025-01-21
1 days newer
Performance Metrics
Context window and performance specifications

DeepSeek R1 Distill Qwen 32B

Gemini 2.0 Flash Thinking
Average performance across 2 common benchmarks

DeepSeek R1 Distill Qwen 32B

Gemini 2.0 Flash Thinking
Performance comparison across key benchmark categories

DeepSeek R1 Distill Qwen 32B

Gemini 2.0 Flash Thinking
Gemini 2.0 Flash Thinking
2024-08-01
Provider Availability & Performance
Available providers and their performance metrics

DeepSeek R1 Distill Qwen 32B
DeepInfra

Gemini 2.0 Flash Thinking

DeepSeek R1 Distill Qwen 32B

Gemini 2.0 Flash Thinking