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-Coder 32B Instruct

Alibaba

Qwen2.5-Coder 32B Instruct is a language model developed by Alibaba. It achieves strong performance with an average score of 64.9% across 15 benchmarks. It excels particularly in HumanEval (92.7%), GSM8k (91.1%), MBPP (90.2%). The model shows particular specialization in reasoning tasks with an average performance of 78.1%. It supports a 256K 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-Coder 32B 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-Coder 32B Instruct

Larger context
Max Context:256.0K
Parameters:32.0B

Average performance across 1 common benchmarks

NVIDIA

Llama-3.3 Nemotron Super 49B v1

+1.1%
Average Score:91.3%
Alibaba

Qwen2.5-Coder 32B Instruct

Average Score:90.2%

Performance comparison across key benchmark categories

NVIDIA

Llama-3.3 Nemotron Super 49B v1

math
+22.4%
96.6%
code
+33.1%
91.3%
general
+10.2%
71.8%
Alibaba

Qwen2.5-Coder 32B Instruct

math
74.2%
code
58.2%
general
61.5%
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-Coder 32B Instruct

4 providers

Hyperbolic

Throughput: 100 tok/s
Latency: 0.5ms

DeepInfra

Throughput: 44 tok/s
Latency: 0.5ms

Fireworks

Throughput: 110 tok/s
Latency: 0.26ms

Lambda

Throughput: 42 tok/s
Latency: 0.5ms
NVIDIA

Llama-3.3 Nemotron Super 49B v1

+1.1%
Avg Score:91.3%
Providers:0
Alibaba

Qwen2.5-Coder 32B Instruct

Avg Score:90.2%
Providers:4