Model Comparison

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

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.

Qwen3-235B-A22B-Instruct-2507

Alibaba

Qwen3-235B-A22B-Instruct-2507 is a language model developed by Alibaba. It achieves strong performance with an average score of 72.1% across 25 benchmarks. It excels particularly in ZebraLogic (95.0%), MMLU-Redux (93.1%), IFEval (88.7%). It's licensed for commercial use, making it suitable for enterprise applications. Released in 2025, it represents Alibaba's latest advancement in AI technology.

Llama 3.1 Nemotron Ultra 253B v1

NVIDIA

2025-04-07

Qwen3-235B-A22B-Instruct-2507

Alibaba

2025-07-22

3 months newer

Average performance across 2 common benchmarks

Llama 3.1 Nemotron Ultra 253B v1

Average Score:82.7%

Qwen3-235B-A22B-Instruct-2507

+0.4%

Average Score:83.1%

Performance comparison across key benchmark categories

Llama 3.1 Nemotron Ultra 253B v1

math

+46.8%

97.0%

code

+7.6%

77.9%

general

+0.5%

74.2%

Qwen3-235B-A22B-Instruct-2507

math

50.2%

code

70.3%

general

73.7%

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

Llama 3.1 Nemotron Ultra 253B v1

0 providers

Qwen3-235B-A22B-Instruct-2507

0 providers

Llama 3.1 Nemotron Ultra 253B v1

Avg Score:82.7%

Providers:0

Qwen3-235B-A22B-Instruct-2507

+0.4%

Avg Score:83.1%

Providers:0