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

DeepSeek R1 Distill Llama 70B
DeepSeek
DeepSeek R1 Distill Llama 70B is a language model developed by DeepSeek. It achieves strong performance with an average score of 76.0% across 4 benchmarks. It excels particularly in MATH-500 (94.5%), AIME 2024 (86.7%), GPQA (65.2%). 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.

Qwen2.5 VL 7B Instruct
Alibaba
Qwen2.5 VL 7B Instruct is a multimodal language model developed by Alibaba. It achieves strong performance with an average score of 64.5% across 32 benchmarks. It excels particularly in DocVQA (95.7%), Android Control Low_EM (91.4%), MobileMiniWob++_SR (91.4%). As a multimodal model, it can process and understand text, images, and other input formats seamlessly. It's licensed for commercial use, making it suitable for enterprise applications. Released in 2025, it represents Alibaba's latest advancement in AI technology.

DeepSeek R1 Distill Llama 70B
DeepSeek
2025-01-20

Qwen2.5 VL 7B Instruct
Alibaba
2025-01-26
6 days newer
Performance Metrics
Context window and performance specifications

DeepSeek R1 Distill Llama 70B

Qwen2.5 VL 7B Instruct
Performance comparison across key benchmark categories

DeepSeek R1 Distill Llama 70B

Qwen2.5 VL 7B Instruct
Provider Availability & Performance
Available providers and their performance metrics

DeepSeek R1 Distill Llama 70B
DeepInfra

Qwen2.5 VL 7B Instruct

DeepSeek R1 Distill Llama 70B

Qwen2.5 VL 7B Instruct