Llama 3.1 Nemotron Ultra 253B v1 vs Qwen-Turbo (Comparative Analysis)

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Comparative Analysis: Llama 3.1 Nemotron Ultra 253B v1 vs. Qwen-Turbo

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Overview

Qwen-Turbo was released 2 months before Llama 3.1 Nemotron Ultra 253B v1.

	Llama 3.1 Nemotron Ultra 253B v1	Qwen-Turbo
Model Provider The organization behind this AI's development	NVIDIA	Qwen
Input Context Window Maximum input tokens this model can process at once	131.1K tokens	1M tokens
Output Token Limit Maximum output tokens this model can generate at once	Not specified tokens	8.2K tokens
Release Date When this model first became publicly available	April 8, 2025 7 months ago April 8th, 2025	February 1, 2025 9 months ago February 1st, 2025

Capabilities & Features

Compare supported features, modalities, and advanced capabilities

	Llama 3.1 Nemotron Ultra 253B v1	Qwen-Turbo
Input Types Supported input formats	📝Text	📝Text
Output Types Supported output formats	📝Text	📝Text
Tokenizer Text encoding system	Llama3	Qwen
Key Features Advanced capabilities	Function Calling✓Structured Output✓Reasoning ModeContent Moderation	✓Function Calling✓Structured OutputReasoning ModeContent Moderation
Open Source Model availability	Available on HuggingFace →	Proprietary

Pricing

Llama 3.1 Nemotron Ultra 253B v1 is roughly 12.0x more expensive compared to Qwen-Turbo for input tokens and roughly 9.0x more expensive for output tokens.

	Llama 3.1 Nemotron Ultra 253B v1	Qwen-Turbo
Input Token Cost Cost per million input tokens	$0.60 per million tokens	$0.05 per million tokens
Output Token Cost Cost per million outut tokens	$1.80 per million tokens	$0.20 per million tokens

Benchmarks

Compare relevant benchmarks between Llama 3.1 Nemotron Ultra 253B v1 and Qwen-Turbo.

	Llama 3.1 Nemotron Ultra 253B v1	Qwen-Turbo
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 Ultra 253B v1 and Qwen-Turbo unique.

Llama 3.1 Nemotron Ultra 253B v1 by NVIDIA offers advanced reasoning, generates structured data. It can handle standard conversations with its 131.1K token context window. Reasonably priced at $0.60/M input and $1.80/M output tokens. Released April 8th, 2025.

Qwen-Turbo by Qwen can use external tools and APIs, generates structured data. It can handle standard conversations with its 1M token context window. Very affordable at $0.05/M input and $0.20/M output tokens. Released February 1st, 2025.