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 3.1 Nemotron Ultra 253B v1

NVIDIA

Llama 3.1 Nemotron Ultra 253B v1 is a language model developed by NVIDIA. It achieves strong performance with an average score of 79.2% across 6 benchmarks. It excels particularly in MATH-500 (97.0%), IFEval (89.5%), GPQA (76.0%). Released in 2025, it represents NVIDIA's latest advancement in AI technology.

Gemini 2.0 Flash Thinking

Google

2025-01-21

Llama 3.1 Nemotron Ultra 253B v1

NVIDIA

2025-04-07

2 months newer

Average performance across 1 common benchmarks

Gemini 2.0 Flash Thinking

Average Score:74.2%

Llama 3.1 Nemotron Ultra 253B v1

+1.8%

Average Score:76.0%

Performance comparison across key benchmark categories

Gemini 2.0 Flash Thinking

general

73.8%

Llama 3.1 Nemotron Ultra 253B v1

general

+0.5%

74.2%

Benchmark Scores - Detailed View

Side-by-side comparison of all benchmark scores

Knowledge Cutoff

Training data recency comparison

Llama 3.1 Nemotron Ultra 253B v1

2023-12-01

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 3.1 Nemotron Ultra 253B v1

0 providers

Gemini 2.0 Flash Thinking

Avg Score:74.2%

Providers:0

Llama 3.1 Nemotron Ultra 253B v1

+1.8%

Avg Score:76.0%

Providers:0