Model Comparison

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

NVIDIA

Llama-3.3 Nemotron Super 49B v1

NVIDIA

Llama-3.3 Nemotron Super 49B v1 is a language model developed by NVIDIA. This model demonstrates exceptional performance with an average score of 81.0% across 7 benchmarks. It excels particularly in MATH-500 (96.6%), MT-Bench (91.7%), MBPP (91.3%). 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-3.3 Nemotron Super 49B v1

NVIDIA

2025-03-18

6 months newer

Performance Metrics

Context window and performance specifications

NVIDIA

Llama-3.3 Nemotron Super 49B v1

Max Context:-
Parameters:49.9B
Alibaba

Qwen2.5 72B Instruct

Larger context
Max Context:139.3K
Parameters:72.7B

Average performance across 4 common benchmarks

NVIDIA

Llama-3.3 Nemotron Super 49B v1

+6.5%
Average Score:84.5%
Alibaba

Qwen2.5 72B Instruct

Average Score:78.0%

Performance comparison across key benchmark categories

NVIDIA

Llama-3.3 Nemotron Super 49B v1

math
+7.1%
96.6%
roleplay
+18.8%
91.7%
code
+12.7%
91.3%
general
71.8%
Alibaba

Qwen2.5 72B Instruct

math
89.5%
roleplay
72.9%
code
78.6%
general
+2.4%
74.1%
Benchmark Scores - Detailed View
Side-by-side comparison of all benchmark scores
Knowledge Cutoff
Training data recency comparison

Llama-3.3 Nemotron Super 49B 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-3.3 Nemotron Super 49B 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-3.3 Nemotron Super 49B v1

+6.5%
Avg Score:84.5%
Providers:0
Alibaba

Qwen2.5 72B Instruct

Avg Score:78.0%
Providers:4