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

Gemini 1.5 Pro
Gemini 1.5 Pro is a multimodal language model developed by Google. It achieves strong performance with an average score of 72.6% across 23 benchmarks. It excels particularly in XSTest (98.8%), HellaSwag (93.3%), GSM8k (90.8%). With a 2.1M 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.

Gemma 3n E4B Instructed
Gemma 3n E4B Instructed is a multimodal language model developed by Google. The model shows competitive results across 18 benchmarks. Notable strengths include HumanEval (75.0%), MGSM (67.0%), MMLU (64.9%). 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.

Gemini 1.5 Pro
2024-05-01

Gemma 3n E4B Instructed
2025-06-26
1 year newer
Pricing Comparison
Cost per million tokens (USD)

Gemini 1.5 Pro

Gemma 3n E4B Instructed
Performance Metrics
Context window and performance specifications

Gemini 1.5 Pro

Gemma 3n E4B Instructed
Average performance across 6 common benchmarks

Gemini 1.5 Pro

Gemma 3n E4B Instructed
Performance comparison across key benchmark categories

Gemini 1.5 Pro

Gemma 3n E4B Instructed
Gemini 1.5 Pro
2023-11-01
Gemma 3n E4B Instructed
2024-06-01
Provider Availability & Performance
Available providers and their performance metrics

Gemini 1.5 Pro

Gemma 3n E4B Instructed
Together

Gemini 1.5 Pro

Gemma 3n E4B Instructed