Model Comparison

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

Llama 3.1 Nemotron Nano 8B V1

NVIDIA

Llama 3.1 Nemotron Nano 8B V1 is a language model developed by NVIDIA. It achieves strong performance with an average score of 72.2% across 7 benchmarks. It excels particularly in MATH-500 (95.4%), MBPP (84.6%), MT-Bench (81.0%). 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 Nano 8B V1

NVIDIA

2025-03-18

Qwen3-235B-A22B-Instruct-2507

Alibaba

2025-07-22

4 months newer

Average performance across 2 common benchmarks

Llama 3.1 Nemotron Nano 8B V1

Average Score:66.7%

Qwen3-235B-A22B-Instruct-2507

+16.4%

Average Score:83.1%

Performance comparison across key benchmark categories

Llama 3.1 Nemotron Nano 8B V1

math

+45.2%

95.4%

code

+11.7%

82.0%

roleplay

+5.6%

81.0%

general

54.9%

Qwen3-235B-A22B-Instruct-2507

math

50.2%

code

70.3%

roleplay

75.4%

general

+18.8%

73.7%

Benchmark Scores - Detailed View

Side-by-side comparison of all benchmark scores

Knowledge Cutoff

Training data recency comparison

Llama 3.1 Nemotron Nano 8B V1

2023-12-31

More recent knowledge cutoff means awareness of newer technologies and frameworks

Provider Availability & Performance

Available providers and their performance metrics

Llama 3.1 Nemotron Nano 8B V1

0 providers

Qwen3-235B-A22B-Instruct-2507

0 providers

Llama 3.1 Nemotron Nano 8B V1

Avg Score:66.7%

Providers:0

Qwen3-235B-A22B-Instruct-2507

+16.4%

Avg Score:83.1%

Providers:0