+
+
+
+
+
+
+
+
VS
VS
VS
VS
VS
VS
Gemma 3n E4B vs Jamba 1.5 Mini
Comprehensive side-by-side LLM comparison
Gemma 3n E4B leads with 14.6% higher average benchmark score. Gemma 3n E4B supports multimodal inputs. Jamba 1.5 Mini is available on 2 providers. Overall, Gemma 3n E4B is the stronger choice for coding tasks.
+
+
+
+
Gemma 3n E4B is a multimodal language model developed by Google. It achieves strong performance with an average score of 64.6% across 11 benchmarks. It excels particularly in ARC-E (81.6%), BoolQ (81.6%), PIQA (81.0%). 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.
+
+
+
+
AI21 Labs
Jamba 1.5 Mini is a language model developed by AI21 Labs. The model shows competitive results across 8 benchmarks. It excels particularly in ARC-C (85.7%), GSM8k (75.8%), MMLU (69.7%). It supports a 512K token context window for handling large documents. The model is available through 2 API providers. Released in 2024, it represents AI21 Labs's latest advancement in AI technology.
10 months newer
Jamba 1.5 Mini
AI21 Labs
2024-08-22
Gemma 3n E4B
2025-06-26
Performance Metrics
Context window and performance specifications
Average performance across 18 common benchmarks
+
+
+
+
Gemma 3n E4B
Average Score:39.5%(+14.6%)
+
+
+
+
Jamba 1.5 Mini
Average Score:24.9%
+
+
+
+
Knowledge Cutoff
Training data recency comparison
Jamba 1.5 Mini
2024-03-05
Gemma 3n E4B
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
0 providers
+
+
+
+
Jamba 1.5 Mini
2 providers
Bedrock
Throughput: 100 tok/s
+
+
+
+
Gemma 3n E4B
Avg Score:39.5%(+14.6%)
Providers:0
+
+
+
+
Jamba 1.5 Mini
Avg Score:24.9%
Providers:2