Model Comparison

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

Gemini 2.0 Flash Thinking

Google

Gemini 2.0 Flash Thinking is a multimodal language model developed by Google. It achieves strong performance with an average score of 74.3% across 3 benchmarks. Notable strengths include MMMU (75.4%), GPQA (74.2%), AIME 2024 (73.3%). 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.

Gemini 2.0 Flash Thinking

Google

2025-01-21

Llama-3.3 Nemotron Super 49B v1

NVIDIA

2025-03-18

1 month newer

Average performance across 1 common benchmarks

Gemini 2.0 Flash Thinking

+7.5%

Average Score:74.2%

Llama-3.3 Nemotron Super 49B v1

Average Score:66.7%

Performance comparison across key benchmark categories

Gemini 2.0 Flash Thinking

general

+2.0%

73.8%

Llama-3.3 Nemotron Super 49B v1

general

71.8%

Benchmark Scores - Detailed View

Side-by-side comparison of all benchmark scores

Knowledge Cutoff

Training data recency comparison

Llama-3.3 Nemotron Super 49B v1

2023-12-31

Gemini 2.0 Flash Thinking

2024-08-01

More recent knowledge cutoff means awareness of newer technologies and frameworks

Provider Availability & Performance

Available providers and their performance metrics

Gemini 2.0 Flash Thinking

0 providers

Llama-3.3 Nemotron Super 49B v1

0 providers

Gemini 2.0 Flash Thinking

+7.5%

Avg Score:74.2%

Providers:0

Llama-3.3 Nemotron Super 49B v1

Avg Score:66.7%

Providers:0