Model Comparison

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

Google

Gemma 3n E4B Instructed LiteRT Preview

Google

Gemma 3n E4B Instructed LiteRT Preview is a multimodal language model developed by Google. The model shows competitive results across 28 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. It's licensed for commercial use, making it suitable for enterprise applications. Released in 2025, it represents Google's latest advancement in AI technology.

Mistral AI

Mistral NeMo Instruct

Mistral AI

Mistral NeMo Instruct is a language model developed by Mistral AI. It achieves strong performance with an average score of 64.3% across 8 benchmarks. It excels particularly in HellaSwag (83.5%), Winogrande (76.8%), TriviaQA (73.8%). The model shows particular specialization in reasoning tasks with an average performance of 80.2%. It supports a 256K token context window for handling large documents. The model is available through 2 API providers. It's licensed for commercial use, making it suitable for enterprise applications. Released in 2024, it represents Mistral AI's latest advancement in AI technology.

Mistral AI

Mistral NeMo Instruct

Mistral AI

2024-07-18

Google

Gemma 3n E4B Instructed LiteRT Preview

Google

2025-05-20

10 months newer

Performance Metrics

Context window and performance specifications

Google

Gemma 3n E4B Instructed LiteRT Preview

Max Context:-
Parameters:1.9B
Mistral AI

Mistral NeMo Instruct

Larger context
Max Context:256.0K
Parameters:12.0B

Average performance across 5 common benchmarks

Google

Gemma 3n E4B Instructed LiteRT Preview

Average Score:61.3%
Mistral AI

Mistral NeMo Instruct

+5.4%
Average Score:66.7%

Performance comparison across key benchmark categories

Google

Gemma 3n E4B Instructed LiteRT Preview

reasoning
73.4%
general
48.4%
Mistral AI

Mistral NeMo Instruct

reasoning
+6.8%
80.2%
general
+12.4%
60.8%
Benchmark Scores - Detailed View
Side-by-side comparison of all benchmark scores
Knowledge Cutoff
Training data recency comparison

Gemma 3n E4B Instructed LiteRT Preview

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 LiteRT Preview

0 providers
Mistral AI

Mistral NeMo Instruct

2 providers

Google

Throughput: 42 tok/s
Latency: 0.4ms

Mistral AI

Throughput: 0.1 tok/s
Latency: 0.5ms
Google

Gemma 3n E4B Instructed LiteRT Preview

Avg Score:61.3%
Providers:0
Mistral AI

Mistral NeMo Instruct

+5.4%
Avg Score:66.7%
Providers:2