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.

Granite 3.3 8B Instruct
IBM
Granite 3.3 8B Instruct is a multimodal language model developed by IBM. It achieves strong performance with an average score of 69.8% across 14 benchmarks. It excels particularly in HumanEval (89.7%), AttaQ (88.5%), HumanEval+ (86.1%). The model shows particular specialization in code tasks with an average performance of 78.3%. 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 IBM's latest advancement in AI technology.

DeepSeek R1 Distill Qwen 7B
DeepSeek
2025-01-20

Granite 3.3 8B Instruct
IBM
2025-04-16
2 months newer
Average performance across 2 common benchmarks

DeepSeek R1 Distill Qwen 7B

Granite 3.3 8B Instruct
Performance comparison across key benchmark categories

DeepSeek R1 Distill Qwen 7B

Granite 3.3 8B Instruct
Granite 3.3 8B Instruct
2024-04-01
Provider Availability & Performance
Available providers and their performance metrics

DeepSeek R1 Distill Qwen 7B

Granite 3.3 8B Instruct

DeepSeek R1 Distill Qwen 7B

Granite 3.3 8B Instruct