Model Comparison

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

Google

Gemma 3n E4B Instructed

Google

Gemma 3n E4B Instructed is a multimodal language model developed by Google. The model shows competitive results across 18 benchmarks. Notable strengths include HumanEval (75.0%), MGSM (67.0%), MMLU (64.9%). The model is available through 1 API provider. As a multimodal model, it can process and understand text, images, and other input formats seamlessly. Released in 2025, it represents Google's latest advancement in AI technology.

IBM

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.

IBM

Granite 3.3 8B Instruct

IBM

2025-04-16

Google

Gemma 3n E4B Instructed

Google

2025-06-26

2 months newer

Performance Metrics

Context window and performance specifications

Google

Gemma 3n E4B Instructed

Larger context
Max Context:64.0K
Parameters:8.0B
IBM

Granite 3.3 8B Instruct

Max Context:-
Parameters:8.0B

Average performance across 2 common benchmarks

Google

Gemma 3n E4B Instructed

Average Score:70.0%
IBM

Granite 3.3 8B Instruct

+7.7%
Average Score:77.6%

Performance comparison across key benchmark categories

Google

Gemma 3n E4B Instructed

code
38.9%
math
52.4%
general
41.6%
IBM

Granite 3.3 8B Instruct

code
+39.5%
78.3%
math
+22.6%
75.0%
general
+22.3%
63.9%
Benchmark Scores - Detailed View
Side-by-side comparison of all benchmark scores
Knowledge Cutoff
Training data recency comparison

Granite 3.3 8B Instruct

2024-04-01

Gemma 3n E4B Instructed

2024-06-01

More recent knowledge cutoff means awareness of newer technologies and frameworks

Provider Availability & Performance

Available providers and their performance metrics

Google

Gemma 3n E4B Instructed

1 providers

Together

Throughput: 42.09 tok/s
Latency: 0.43ms
IBM

Granite 3.3 8B Instruct

0 providers
Google

Gemma 3n E4B Instructed

Avg Score:70.0%
Providers:1
IBM

Granite 3.3 8B Instruct

+7.7%
Avg Score:77.6%
Providers:0