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

Gemini 2.5 Flash
Gemini 2.5 Flash is a multimodal language model developed by Google. It achieves strong performance with an average score of 62.5% across 14 benchmarks. It excels particularly in Global-MMLU-Lite (88.4%), AIME 2024 (88.0%), FACTS Grounding (85.3%). With a 1.1M token context window, it can handle extensive documents and complex multi-turn conversations. The model is available through 2 API providers. 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.

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.

Llama-3.3 Nemotron Super 49B v1
NVIDIA
2025-03-18

Gemini 2.5 Flash
2025-05-20
2 months newer
Performance Metrics
Context window and performance specifications

Gemini 2.5 Flash

Llama-3.3 Nemotron Super 49B v1
Average performance across 2 common benchmarks

Gemini 2.5 Flash

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

Gemini 2.5 Flash

Llama-3.3 Nemotron Super 49B v1
Llama-3.3 Nemotron Super 49B v1
2023-12-31
Gemini 2.5 Flash
2025-01-31
Provider Availability & Performance
Available providers and their performance metrics

Gemini 2.5 Flash
ZeroEval

Llama-3.3 Nemotron Super 49B v1

Gemini 2.5 Flash

Llama-3.3 Nemotron Super 49B v1