Model Comparison

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

Google

Gemini 1.0 Pro

Google

Gemini 1.0 Pro is a language model developed by Google. The model shows competitive results across 9 benchmarks. Notable strengths include BIG-Bench (75.0%), MMLU (71.8%), WMT23 (71.7%). The model is available through 1 API provider. Released in 2024, it represents Google's latest advancement in AI technology.

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.

Google

Gemini 1.0 Pro

Google

2024-02-15

Google

Gemma 3n E4B

Google

2025-06-26

1 year newer

Performance Metrics

Context window and performance specifications

Google

Gemini 1.0 Pro

Larger context
Max Context:41.0K
Google

Gemma 3n E4B

Max Context:-
Parameters:8.0B

Performance comparison across key benchmark categories

Google

Gemini 1.0 Pro

general
51.4%
Google

Gemma 3n E4B

general
+8.2%
59.6%
Knowledge Cutoff
Training data recency comparison

Gemini 1.0 Pro

2024-02-01

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

Gemini 1.0 Pro

1 providers

Google

Throughput: 120 tok/s
Latency: 0.4ms
Google

Gemma 3n E4B

0 providers
Google

Gemini 1.0 Pro

Avg Score:0.0%
Providers:1
Google

Gemma 3n E4B

Avg Score:0.0%
Providers:0