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

Gemini 1.5 Flash
Gemini 1.5 Flash is a multimodal language model developed by Google. It achieves strong performance with an average score of 66.8% across 22 benchmarks. It excels particularly in XSTest (97.0%), HellaSwag (86.5%), GSM8k (86.2%). 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.

Llama-3.3 Nemotron Super 49B v1
NVIDIA
Llama-3.3 Nemotron Super 49B v1 is a language model developed by NVIDIA. This model demonstrates exceptional performance with an average score of 81.0% across 7 benchmarks. It excels particularly in MATH-500 (96.6%), MT-Bench (91.7%), MBPP (91.3%). Released in 2025, it represents NVIDIA's latest advancement in AI technology.

Gemini 1.5 Flash
2024-05-01

Llama-3.3 Nemotron Super 49B v1
NVIDIA
2025-03-18
10 months newer
Performance Metrics
Context window and performance specifications

Gemini 1.5 Flash

Llama-3.3 Nemotron Super 49B v1
Average performance across 1 common benchmarks

Gemini 1.5 Flash

Llama-3.3 Nemotron Super 49B v1
Performance comparison across key benchmark categories

Gemini 1.5 Flash

Llama-3.3 Nemotron Super 49B v1
Gemini 1.5 Flash
2023-11-01
Llama-3.3 Nemotron Super 49B v1
2023-12-31
Provider Availability & Performance
Available providers and their performance metrics

Gemini 1.5 Flash

Llama-3.3 Nemotron Super 49B v1

Gemini 1.5 Flash

Llama-3.3 Nemotron Super 49B v1