+
+
+
+
+
+
+
+
VS
VS
VS
VS
VS
VS
Gemma 3 4B vs IBM Granite 4.0 Tiny Preview
Comprehensive side-by-side LLM comparison
Gemma 3 4B leads with 20.4% higher average benchmark score. Gemma 3 4B supports multimodal inputs. Overall, Gemma 3 4B is the stronger choice for coding tasks.
+
+
+
+
Gemma 3 4B is a multimodal language model developed by Google. The model shows competitive results across 26 benchmarks. It excels particularly in IFEval (90.2%), GSM8k (89.2%), DocVQA (75.8%). It supports a 262K token context window for handling large documents. The model is available through 1 API provider. 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 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
Gemma 3 4B
2025-03-12
IBM Granite 4.0 Tiny Preview
IBM
2025-05-02
Performance Metrics
Context window and performance specifications
Average performance across 34 common benchmarks
+
+
+
+
Gemma 3 4B
Average Score:40.5%(+20.4%)
+
+
+
+
IBM Granite 4.0 Tiny Preview
Average Score:20.1%
+
+
+
+
Knowledge Cutoff
Training data recency comparison
Gemma 3 4B
2024-08-01
More recent knowledge cutoff means awareness of newer technologies and frameworks
Provider Availability & Performance
Available providers and their performance metrics
+
+
+
+
Gemma 3 4B
1 providers
DeepInfra
Throughput: 33 tok/s
Latency: 0.2ms
+
+
+
+
IBM Granite 4.0 Tiny Preview
+
+
+
+
Gemma 3 4B
Avg Score:40.5%(+20.4%)
Providers:1
+
+
+
+
IBM Granite 4.0 Tiny Preview
Avg Score:20.1%
Providers:0