Model Comparison

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

Google

Gemma 3n E4B

Google

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.

Mistral AI

Mistral Small

Mistral AI

Mistral Small is a language model developed by Mistral AI. The model is available through 1 API provider. Released in 2024, it represents Mistral AI's latest advancement in AI technology.

Mistral AI

Mistral Small

Mistral AI

2024-09-17

Google

Gemma 3n E4B

Google

2025-06-26

9 months newer

Performance Metrics

Context window and performance specifications

Google

Gemma 3n E4B

Max Context:-
Parameters:8.0B
Mistral AI

Mistral Small

Larger context
Max Context:65.5K
Parameters:22.0B
Knowledge Cutoff
Training data recency comparison

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

Google

Gemma 3n E4B

0 providers
Mistral AI

Mistral Small

1 providers

Mistral AI

Throughput: 0.1 tok/s
Latency: 0.5ms
Google

Gemma 3n E4B

Avg Score:0.0%
Providers:0
Mistral AI

Mistral Small

Avg Score:0.0%
Providers:1