+
+
+
+
+
+
+
+
VS
VS
VS
VS
VS
VS
Gemma 3n E4B Instructed vs IBM Granite 4.0 Tiny Preview
Comprehensive side-by-side LLM comparison
Gemma 3n E4B Instructed leads with 2.5% higher average benchmark score. Gemma 3n E4B Instructed supports multimodal inputs. Both models have their strengths depending on your specific coding needs.
+
+
+
+
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
IBM Granite 4.0 Tiny Preview is a language model developed by IBM. The model shows competitive results across 12 benchmarks. It excels particularly in AttaQ (86.1%), HumanEval (82.4%), HumanEval+ (78.3%). It's licensed for commercial use, making it suitable for enterprise applications. Released in 2025, it represents IBM's latest advancement in AI technology.
1 month newer
IBM Granite 4.0 Tiny Preview
IBM
2025-05-02
Gemma 3n E4B Instructed
2025-06-26
Performance Metrics
Context window and performance specifications
Average performance across 28 common benchmarks
+
+
+
+
Gemma 3n E4B Instructed
Average Score:27.0%(+2.5%)
+
+
+
+
IBM Granite 4.0 Tiny Preview
Average Score:24.5%
+
+
+
+
Knowledge Cutoff
Training data recency comparison
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
+
+
+
+
Gemma 3n E4B Instructed
1 providers
Together
Throughput: 42.09 tok/s
Latency: 0.43ms
+
+
+
+
IBM Granite 4.0 Tiny Preview
+
+
+
+
Gemma 3n E4B Instructed
Avg Score:27.0%(+2.5%)
Providers:1
+
+
+
+
IBM Granite 4.0 Tiny Preview
Avg Score:24.5%
Providers:0