Model Comparison

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

DeepSeek R1 Zero

DeepSeek

DeepSeek R1 Zero is a language model developed by DeepSeek. It achieves strong performance with an average score of 76.5% across 4 benchmarks. It excels particularly in MATH-500 (95.9%), AIME 2024 (86.7%), GPQA (73.3%). 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 Base

IBM

Granite 3.3 8B Base is a multimodal language model developed by IBM. It achieves strong performance with an average score of 64.3% across 20 benchmarks. It excels particularly in HumanEval (89.7%), AttaQ (88.5%), HumanEval+ (86.1%). 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 Zero

DeepSeek

2025-01-20

Granite 3.3 8B Base

IBM

2025-04-16

2 months newer

Average performance across 2 common benchmarks

DeepSeek R1 Zero

+16.2%

Average Score:91.3%

Granite 3.3 8B Base

Average Score:75.1%

Performance comparison across key benchmark categories

DeepSeek R1 Zero

math

+31.9%

95.9%

general

+20.3%

80.0%

code

50.0%

Granite 3.3 8B Base

math

64.0%

general

59.7%

code

+22.5%

72.5%

Benchmark Scores - Detailed View

Side-by-side comparison of all benchmark scores

Knowledge Cutoff

Training data recency comparison

Granite 3.3 8B Base

2024-04-01

More recent knowledge cutoff means awareness of newer technologies and frameworks

Provider Availability & Performance

Available providers and their performance metrics

DeepSeek R1 Zero

0 providers

Granite 3.3 8B Base

0 providers

DeepSeek R1 Zero

+16.2%

Avg Score:91.3%

Providers:0

Granite 3.3 8B Base

Avg Score:75.1%

Providers:0