Model Comparison

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

Google

Gemini 2.5 Flash-Lite

Google

Gemini 2.5 Flash-Lite is a multimodal language model developed by Google. The model shows competitive results across 13 benchmarks. It excels particularly in FACTS Grounding (84.1%), Global-MMLU-Lite (81.1%), MMMU (72.9%). With a 1.1M token context window, it can handle extensive documents and complex multi-turn conversations. The model is available through 1 API provider. 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

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.

Google

Gemma 3n E4B Instructed LiteRT Preview

Google

2025-05-20

Google

Gemini 2.5 Flash-Lite

Google

2025-06-17

28 days newer

Performance Metrics

Context window and performance specifications

Google

Gemini 2.5 Flash-Lite

Larger context
Max Context:1.1M
Google

Gemma 3n E4B Instructed LiteRT Preview

Max Context:-
Parameters:1.9B

Average performance across 4 common benchmarks

Google

Gemini 2.5 Flash-Lite

+29.1%
Average Score:57.3%
Google

Gemma 3n E4B Instructed LiteRT Preview

Average Score:28.2%

Performance comparison across key benchmark categories

Google

Gemini 2.5 Flash-Lite

reasoning
2.5%
general
35.8%
code
+3.6%
42.5%
Google

Gemma 3n E4B Instructed LiteRT Preview

reasoning
+70.9%
73.4%
general
+12.6%
48.4%
code
38.9%
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

Gemini 2.5 Flash-Lite

2025-01-01

More recent knowledge cutoff means awareness of newer technologies and frameworks

Provider Availability & Performance

Available providers and their performance metrics

Google

Gemini 2.5 Flash-Lite

1 providers

Google

Throughput: 5.69 tok/s
Latency: 0.44ms
Google

Gemma 3n E4B Instructed LiteRT Preview

0 providers
Google

Gemini 2.5 Flash-Lite

+29.1%
Avg Score:57.3%
Providers:1
Google

Gemma 3n E4B Instructed LiteRT Preview

Avg Score:28.2%
Providers:0