Model Comparison

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

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.

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.

Gemini 1.0 Pro

Google

2024-02-15

Gemma 3n E2B Instructed

Google

2025-06-26

1 year newer

Performance Metrics

Context window and performance specifications

Gemini 1.0 Pro

Larger context

Max Context:41.0K

Gemma 3n E2B Instructed

Max Context:-

Parameters:8.0B

Average performance across 2 common benchmarks

Gemini 1.0 Pro

+7.4%

Average Score:49.9%

Gemma 3n E2B Instructed

Average Score:42.4%

Performance comparison across key benchmark categories

Gemini 1.0 Pro

general

+18.7%

51.4%

math

39.6%

Gemma 3n E2B Instructed

general

32.8%

math

+0.8%

40.4%

Benchmark Scores - Detailed View

Side-by-side comparison of all benchmark scores

Knowledge Cutoff

Training data recency comparison

Gemini 1.0 Pro

2024-02-01

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

Gemini 1.0 Pro

1 providers

Google

Throughput: 120 tok/s

Latency: 0.4ms

Gemma 3n E2B Instructed

0 providers

Gemini 1.0 Pro

+7.4%

Avg Score:49.9%

Providers:1

Gemma 3n E2B Instructed

Avg Score:42.4%

Providers:0