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%). The model shows particular specialization in math tasks with an average performance of 84.7%. Released in 2025, it represents NVIDIA's latest advancement in AI technology.
Qwen3-235B-A22B-Thinking-2507
Alibaba Cloud / Qwen Team
Qwen3-235B-A22B-Thinking-2507 is a language model developed by Alibaba Cloud / Qwen Team. It achieves strong performance with an average score of 69.2% across 25 benchmarks. It excels particularly in MMLU-Redux (93.8%), AIME25 (92.3%), WritingBench (88.3%). It supports a 387K token context window for handling large documents. The model is available through 1 API provider. It's licensed for commercial use, making it suitable for enterprise applications. Released in 2025, it represents Alibaba Cloud / Qwen Team's latest advancement in AI technology.
Llama 3.1 Nemotron Ultra 253B v1
NVIDIA
2025-04-07
Qwen3-235B-A22B-Thinking-2507
Alibaba Cloud / Qwen Team
2025-07-25
3 months newer
Performance Metrics
Context window and performance specifications
Llama 3.1 Nemotron Ultra 253B v1
Qwen3-235B-A22B-Thinking-2507
Average performance across 2 common benchmarks
Llama 3.1 Nemotron Ultra 253B v1
Qwen3-235B-A22B-Thinking-2507
Performance comparison across key benchmark categories
Llama 3.1 Nemotron Ultra 253B v1
Qwen3-235B-A22B-Thinking-2507
Llama 3.1 Nemotron Ultra 253B v1
2023-12-01
Provider Availability & Performance
Available providers and their performance metrics
Llama 3.1 Nemotron Ultra 253B v1
Qwen3-235B-A22B-Thinking-2507
Novita
Llama 3.1 Nemotron Ultra 253B v1
Qwen3-235B-A22B-Thinking-2507