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.

Moonshot AI

Kimi K2 Instruct

Moonshot AI

Kimi K2 Instruct is a language model developed by Moonshot AI. It achieves strong performance with an average score of 66.7% across 38 benchmarks. It excels particularly in MATH-500 (97.4%), GSM8k (97.3%), CBNSL (95.6%). It supports a 144K token context window for handling large documents. The model is available through 1 API provider. Released in 2025, it represents Moonshot AI's latest advancement in AI technology.

Moonshot AI

Kimi K2 Instruct

Moonshot AI

2025-01-01

Google

Gemma 3n E4B

Google

2025-06-26

5 months newer

Performance Metrics

Context window and performance specifications

Google

Gemma 3n E4B

Max Context:-
Parameters:8.0B
Moonshot AI

Kimi K2 Instruct

Larger context
Max Context:144.0K
Parameters:1.0T

Performance comparison across key benchmark categories

Google

Gemma 3n E4B

reasoning
73.4%
general
59.6%
Moonshot AI

Kimi K2 Instruct

reasoning
+15.6%
89.0%
general
+2.4%
62.0%
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
Moonshot AI

Kimi K2 Instruct

1 providers

Novita

Throughput: 45 tok/s
Latency: 0.95ms
Google

Gemma 3n E4B

Avg Score:0.0%
Providers:0
Moonshot AI

Kimi K2 Instruct

Avg Score:0.0%
Providers:1