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-Omni-7B
Alibaba
Qwen2.5-Omni-7B is a multimodal language model developed by Alibaba. The model shows competitive results across 45 benchmarks. It excels particularly in DocVQA (95.2%), VocalSound (93.9%), GSM8k (88.7%). The model shows particular specialization in code tasks with an average performance of 76.0%. 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-Omni-7B
Alibaba
2025-03-27
2 months newer
Performance Metrics
Context window and performance specifications

DeepSeek R1 Distill Llama 70B

Qwen2.5-Omni-7B
Average performance across 1 common benchmarks

DeepSeek R1 Distill Llama 70B

Qwen2.5-Omni-7B
Performance comparison across key benchmark categories

DeepSeek R1 Distill Llama 70B

Qwen2.5-Omni-7B
Provider Availability & Performance
Available providers and their performance metrics

DeepSeek R1 Distill Llama 70B
DeepInfra

Qwen2.5-Omni-7B

DeepSeek R1 Distill Llama 70B

Qwen2.5-Omni-7B