Model Comparison

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

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.

Qwen2 7B Instruct

Alibaba

Qwen2 7B Instruct is a language model developed by Alibaba. The model shows competitive results across 14 benchmarks. It excels particularly in MT-Bench (84.1%), GSM8k (82.3%), HumanEval (79.9%). It's licensed for commercial use, making it suitable for enterprise applications. Released in 2024, it represents Alibaba's latest advancement in AI technology.

Qwen2 7B Instruct

Alibaba

2024-07-23

Granite 3.3 8B Base

IBM

2025-04-16

8 months newer

Average performance across 3 common benchmarks

Granite 3.3 8B Base

Average Score:70.9%

Qwen2 7B Instruct

+6.7%

Average Score:77.6%

Performance comparison across key benchmark categories

Granite 3.3 8B Base

code

+8.3%

72.5%

math

64.0%

general

+10.3%

59.7%

Qwen2 7B Instruct

code

64.2%

math

+1.9%

66.0%

general

49.4%

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

Granite 3.3 8B Base

0 providers

Qwen2 7B Instruct

0 providers

Granite 3.3 8B Base

Avg Score:70.9%

Providers:0

Qwen2 7B Instruct

+6.7%

Avg Score:77.6%

Providers:0