Model Comparison

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

Claude Opus 4.1

Anthropic

Claude Opus 4.1 is a multimodal language model developed by Anthropic. The model shows competitive results across 8 benchmarks. It excels particularly in MMMLU (98.4%), AIME 2025 (80.2%), MMMU (validation) (64.8%). As a multimodal model, it can process and understand text, images, and other input formats seamlessly. Released in 2025, it represents Anthropic'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.

Llama 3.1 Nemotron Ultra 253B v1

NVIDIA

2025-04-07

Claude Opus 4.1

Anthropic

2025-08-05

4 months newer

Average performance across 2 common benchmarks

Claude Opus 4.1

Average Score:42.8%

Llama 3.1 Nemotron Ultra 253B v1

+31.5%

Average Score:74.3%

Performance comparison across key benchmark categories

Claude Opus 4.1

general

44.6%

Llama 3.1 Nemotron Ultra 253B v1

general

+29.6%

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

More recent knowledge cutoff means awareness of newer technologies and frameworks

Provider Availability & Performance

Available providers and their performance metrics

Claude Opus 4.1

0 providers

Llama 3.1 Nemotron Ultra 253B v1

0 providers

Claude Opus 4.1

Avg Score:42.8%

Providers:0

Llama 3.1 Nemotron Ultra 253B v1

+31.5%

Avg Score:74.3%

Providers:0