Model Comparison

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

Google

Gemini 1.5 Flash 8B

Google

Gemini 1.5 Flash 8B is a multimodal language model developed by Google. It achieves strong performance with an average score of 60.5% across 13 benchmarks. It excels particularly in XSTest (92.6%), FLEURS (86.4%), Natural2Code (75.5%). 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 2024, it represents Google's latest advancement in AI technology.

Google

Gemma 3n E2B Instructed LiteRT (Preview)

Google

Gemma 3n E2B Instructed LiteRT (Preview) is a multimodal language model developed by Google. The model shows competitive results across 28 benchmarks. Notable strengths include PIQA (78.9%), BoolQ (76.4%), ARC-E (75.8%). 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

Gemini 1.5 Flash 8B

Google

2024-03-15

Google

Gemma 3n E2B Instructed LiteRT (Preview)

Google

2025-05-20

1 year newer

Performance Metrics

Context window and performance specifications

Google

Gemini 1.5 Flash 8B

Larger context
Max Context:1.1M
Parameters:8.0B
Google

Gemma 3n E2B Instructed LiteRT (Preview)

Max Context:-
Parameters:1.9B

Average performance across 3 common benchmarks

Google

Gemini 1.5 Flash 8B

+12.3%
Average Score:43.3%
Google

Gemma 3n E2B Instructed LiteRT (Preview)

Average Score:31.0%

Performance comparison across key benchmark categories

Google

Gemini 1.5 Flash 8B

general
+25.1%
67.2%
code
+25.0%
58.2%
math
+8.3%
48.7%
Google

Gemma 3n E2B Instructed LiteRT (Preview)

general
42.2%
code
33.2%
math
40.4%
Benchmark Scores - Detailed View
Side-by-side comparison of all benchmark scores
Knowledge Cutoff
Training data recency comparison

Gemma 3n E2B Instructed LiteRT (Preview)

2024-06-01

Gemini 1.5 Flash 8B

2024-10-01

More recent knowledge cutoff means awareness of newer technologies and frameworks

Provider Availability & Performance

Available providers and their performance metrics

Google

Gemini 1.5 Flash 8B

1 providers

Google

Throughput: 150 tok/s
Latency: 0.3ms
Google

Gemma 3n E2B Instructed LiteRT (Preview)

0 providers
Google

Gemini 1.5 Flash 8B

+12.3%
Avg Score:43.3%
Providers:1
Google

Gemma 3n E2B Instructed LiteRT (Preview)

Avg Score:31.0%
Providers:0