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Llama 3.1 Nemotron 70B Instruct vs Qwen2.5 VL 72B Instruct (Comparative Analysis)

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Comparative Analysis: Llama 3.1 Nemotron 70B Instruct vs. Qwen2.5 VL 72B Instruct
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Overview

Llama 3.1 Nemotron 70B Instruct was released 3 months before Qwen2.5 VL 72B Instruct.
Llama 3.1 Nemotron 70B InstructLlama 3.1 Nemotron 70B Instruct
Qwen2.5 VL 72B InstructQwen2.5 VL 72B Instruct
Model Provider
The organization behind this AI's development
NVIDIA logoNVIDIA
Qwen logoQwen
Input Context Window
Maximum input tokens this model can process at once
131.1K
tokens
32.8K
tokens
Output Token Limit
Maximum output tokens this model can generate at once
16.4K
tokens
32.8K
tokens
Release Date
When this model first became publicly available
October 15th, 2024
February 1st, 2025

Capabilities & Features

Compare supported features, modalities, and advanced capabilities
Llama 3.1 Nemotron 70B Instruct
Qwen2.5 VL 72B Instruct
Input Types
Supported input formats
📝Text
📝Text🖼️Image
Output Types
Supported output formats
📝Text
📝Text
Tokenizer
Text encoding system
Llama3Qwen
Key Features
Advanced capabilities
Function CallingStructured OutputReasoning ModeContent Moderation
Function CallingStructured OutputReasoning ModeContent Moderation
Open Source
Model availability
Available on HuggingFace →Available on HuggingFace →

Pricing

Llama 3.1 Nemotron 70B Instruct is roughly 7.5x more expensive compared to Qwen2.5 VL 72B Instruct for input tokens and roughly 1.8x more expensive for output tokens.
Llama 3.1 Nemotron 70B InstructLlama 3.1 Nemotron 70B Instruct
Qwen2.5 VL 72B InstructQwen2.5 VL 72B Instruct
Input Token Cost
Cost per million input tokens
$0.60
per million tokens
$0.08
per million tokens
Output Token Cost
Cost per million outut tokens
$0.60
per million tokens
$0.33
per million tokens

Benchmarks

Compare relevant benchmarks between Llama 3.1 Nemotron 70B Instruct and Qwen2.5 VL 72B Instruct.
Llama 3.1 Nemotron 70B InstructLlama 3.1 Nemotron 70B Instruct
Qwen2.5 VL 72B InstructQwen2.5 VL 72B Instruct
MMLU
Measures knowledge across 57 subjects like law, math, history, and science
Benchmark not available.
Benchmark not available.
MMMU
Measures understanding of combined text and images across various domains
Benchmark not available.
Benchmark not available.
HellaSwag
Measures common sense reasoning by having models complete sentences about everyday situations
Benchmark not available.
Benchmark not available.

At a Glance

Quick overview of what makes Llama 3.1 Nemotron 70B Instruct and Qwen2.5 VL 72B Instruct unique.
NVIDIA logoLlama 3.1 Nemotron 70B Instruct by NVIDIA can use external tools and APIs, generates structured data. It can handle standard conversations with its 131.1K token context window. Reasonably priced at $0.60/M input and $0.60/M output tokens. Released October 15th, 2024.
Qwen logoQwen2.5 VL 72B Instruct by Qwen understands both text and images, generates structured data. It can handle standard conversations with its 32.8K token context window. Very affordable at $0.08/M input and $0.33/M output tokens. Released February 1st, 2025.

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