Model Comparison

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

NVIDIA

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.

Alibaba

Qwen2.5 72B Instruct

Alibaba

Qwen2.5 72B Instruct is a language model developed by Alibaba. It achieves strong performance with an average score of 77.4% across 14 benchmarks. It excels particularly in GSM8k (95.8%), MT-Bench (93.5%), MBPP (88.2%). The model shows particular specialization in math tasks with an average performance of 89.5%. It supports a 139K token context window for handling large documents. The model is available through 4 API providers. It's licensed for commercial use, making it suitable for enterprise applications. Released in 2024, it represents Alibaba's latest advancement in AI technology.

Alibaba

Qwen2.5 72B Instruct

Alibaba

2024-09-19

NVIDIA

Llama 3.1 Nemotron Nano 8B V1

NVIDIA

2025-03-18

6 months newer

Performance Metrics

Context window and performance specifications

NVIDIA

Llama 3.1 Nemotron Nano 8B V1

Max Context:-
Parameters:8.0B
Alibaba

Qwen2.5 72B Instruct

Larger context
Max Context:139.3K
Parameters:72.7B

Average performance across 4 common benchmarks

NVIDIA

Llama 3.1 Nemotron Nano 8B V1

Average Score:74.8%
Alibaba

Qwen2.5 72B Instruct

+4.0%
Average Score:78.7%

Performance comparison across key benchmark categories

NVIDIA

Llama 3.1 Nemotron Nano 8B V1

math
+5.9%
95.4%
code
+3.3%
82.0%
roleplay
+8.1%
81.0%
general
54.9%
Alibaba

Qwen2.5 72B Instruct

math
89.5%
code
78.6%
roleplay
72.9%
general
+19.2%
74.1%
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

NVIDIA

Llama 3.1 Nemotron Nano 8B V1

0 providers
Alibaba

Qwen2.5 72B Instruct

4 providers

Together

Throughput: 47 tok/s
Latency: 0.5ms

Hyperbolic

Throughput: 100 tok/s
Latency: 0.5ms

DeepInfra

Throughput: 10 tok/s
Latency: 0.5ms

Fireworks

Throughput: 59 tok/s
Latency: 0.37ms
NVIDIA

Llama 3.1 Nemotron Nano 8B V1

Avg Score:74.8%
Providers:0
Alibaba

Qwen2.5 72B Instruct

+4.0%
Avg Score:78.7%
Providers:4