Model Comparison
Comprehensive side-by-side analysis of model capabilities and performance
DeepSeek R1 Distill Qwen 7B
DeepSeek
DeepSeek R1 Distill Qwen 7B is a language model developed by DeepSeek. It achieves strong performance with an average score of 65.7% across 4 benchmarks. It excels particularly in MATH-500 (92.8%), AIME 2024 (83.3%), GPQA (49.1%). It's licensed for commercial use, making it suitable for enterprise applications. Released in 2025, it represents DeepSeek's latest advancement in AI technology.
Llama 4 Maverick
Meta
Llama 4 Maverick is a multimodal language model developed by Meta. It achieves strong performance with an average score of 71.8% across 13 benchmarks. It excels particularly in DocVQA (94.4%), MGSM (92.3%), ChartQA (90.0%). The model shows particular specialization in vision tasks with an average performance of 75.8%. With a 2.0M token context window, it can handle extensive documents and complex multi-turn conversations. The model is available through 7 API providers. As a multimodal model, it can process and understand text, images, and other input formats seamlessly. Released in 2025, it represents Meta's latest advancement in AI technology.
DeepSeek R1 Distill Qwen 7B
DeepSeek
2025-01-20
Llama 4 Maverick
Meta
2025-04-05
2 months newer
Performance Metrics
Context window and performance specifications
DeepSeek R1 Distill Qwen 7B
Llama 4 Maverick
Average performance across 2 common benchmarks
DeepSeek R1 Distill Qwen 7B
Llama 4 Maverick
Performance comparison across key benchmark categories
DeepSeek R1 Distill Qwen 7B
Llama 4 Maverick
Provider Availability & Performance
Available providers and their performance metrics
DeepSeek R1 Distill Qwen 7B
Llama 4 Maverick
Sambanova
Together
DeepInfra
Fireworks
Groq
Novita
Lambda
DeepSeek R1 Distill Qwen 7B
Llama 4 Maverick