Model Comparison

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

GPT-3.5 Turbo

OpenAI

GPT-3.5 Turbo is a language model developed by OpenAI. The model shows competitive results across 8 benchmarks. Notable strengths include DROP (70.2%), MMLU (69.8%), HumanEval (68.0%). The model is available through 2 API providers.

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.

GPT-3.5 Turbo

OpenAI

2023-03-21

Llama 3.1 Nemotron Nano 8B V1

NVIDIA

2025-03-18

1 year newer

Performance Metrics

Context window and performance specifications

GPT-3.5 Turbo

Larger context

Max Context:20.5K

Llama 3.1 Nemotron Nano 8B V1

Max Context:-

Parameters:8.0B

Average performance across 1 common benchmarks

GPT-3.5 Turbo

Average Score:30.8%

Llama 3.1 Nemotron Nano 8B V1

+23.3%

Average Score:54.1%

Performance comparison across key benchmark categories

GPT-3.5 Turbo

math

33.1%

code

68.0%

general

+2.0%

56.9%

Llama 3.1 Nemotron Nano 8B V1

math

+62.3%

95.4%

code

+14.0%

82.0%

general

54.9%

Benchmark Scores - Detailed View

Side-by-side comparison of all benchmark scores

Knowledge Cutoff

Training data recency comparison

GPT-3.5 Turbo

2021-09-30

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

GPT-3.5 Turbo

2 providers

Azure

Throughput: 90 tok/s

Latency: 0.8ms

OpenAI

Throughput: 100 tok/s

Latency: 0.5ms

Llama 3.1 Nemotron Nano 8B V1

0 providers

GPT-3.5 Turbo

Avg Score:30.8%

Providers:2

Llama 3.1 Nemotron Nano 8B V1

+23.3%

Avg Score:54.1%

Providers:0