Model Comparison

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

Google

Gemma 3n E2B Instructed

Google

Gemma 3n E2B Instructed is a multimodal language model developed by Google. The model shows competitive results across 18 benchmarks. Notable strengths include HumanEval (66.5%), MMLU (60.1%), Global-MMLU-Lite (59.0%). 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.

Jamba 1.5 Mini

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.

Jamba 1.5 Mini

AI21 Labs

2024-08-22

Google

Gemma 3n E2B Instructed

Google

2025-06-26

10 months newer

Performance Metrics

Context window and performance specifications

Google

Gemma 3n E2B Instructed

Max Context:-
Parameters:8.0B

Jamba 1.5 Mini

Larger context
Max Context:512.3K
Parameters:52.0B

Average performance across 3 common benchmarks

Google

Gemma 3n E2B Instructed

Average Score:41.8%

Jamba 1.5 Mini

+6.4%
Average Score:48.2%

Performance comparison across key benchmark categories

Google

Gemma 3n E2B Instructed

math
40.4%
general
32.8%

Jamba 1.5 Mini

math
+35.4%
75.8%
general
+13.8%
46.6%
Benchmark Scores - Detailed View
Side-by-side comparison of all benchmark scores
Knowledge Cutoff
Training data recency comparison

Jamba 1.5 Mini

2024-03-05

Gemma 3n E2B 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 E2B Instructed

0 providers

Jamba 1.5 Mini

2 providers

Google

Throughput: 100 tok/s
Latency: 0.3ms

Bedrock

Throughput: 100 tok/s
Latency: 0.5ms
Google

Gemma 3n E2B Instructed

Avg Score:41.8%
Providers:0

Jamba 1.5 Mini

+6.4%
Avg Score:48.2%
Providers:2