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

Gemini 1.5 Flash 8B
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.

Gemma 3 12B
Gemma 3 12B is a multimodal language model developed by Google. It achieves strong performance with an average score of 63.8% across 26 benchmarks. It excels particularly in GSM8k (94.4%), IFEval (88.9%), DocVQA (87.1%). It supports a 262K token context window for handling large documents. The model is available through 1 API provider. 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.

Gemini 1.5 Flash 8B
2024-03-15

Gemma 3 12B
2025-03-12
12 months newer
Pricing Comparison
Cost per million tokens (USD)

Gemini 1.5 Flash 8B

Gemma 3 12B
Performance Metrics
Context window and performance specifications

Gemini 1.5 Flash 8B

Gemma 3 12B
Average performance across 5 common benchmarks

Gemini 1.5 Flash 8B

Gemma 3 12B
Performance comparison across key benchmark categories

Gemini 1.5 Flash 8B

Gemma 3 12B
Gemini 1.5 Flash 8B
2024-10-01
Provider Availability & Performance
Available providers and their performance metrics

Gemini 1.5 Flash 8B

Gemma 3 12B
DeepInfra

Gemini 1.5 Flash 8B

Gemma 3 12B