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Llama 3.3 Nemotron Super 49B V1.5 vs MiniMax-01 (Comparative Analysis)

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Comparative Analysis: Llama 3.3 Nemotron Super 49B V1.5 vs. MiniMax-01
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Overview

MiniMax-01 was released 8 months before Llama 3.3 Nemotron Super 49B V1.5.
Llama 3.3 Nemotron Super 49B V1.5Llama 3.3 Nemotron Super 49B V1.5
MiniMax-01MiniMax-01
Model Provider
The organization behind this AI's development
NVIDIA logoNVIDIA
MiniMax logoMiniMax
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
16.4K
tokens
1M
tokens
Release Date
When this model first became publicly available
October 10th, 2025
January 15th, 2025

Capabilities & Features

Compare supported features, modalities, and advanced capabilities
Llama 3.3 Nemotron Super 49B V1.5
MiniMax-01
Input Types
Supported input formats
📝Text
📝Text🖼️Image
Output Types
Supported output formats
📝Text
📝Text
Tokenizer
Text encoding system
Llama3Other
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 3.3 Nemotron Super 49B V1.5 is roughly 0.5x less expensive compared to MiniMax-01 for input tokens and roughly 0.4x less expensive for output tokens.
Llama 3.3 Nemotron Super 49B V1.5Llama 3.3 Nemotron Super 49B V1.5
MiniMax-01MiniMax-01
Input Token Cost
Cost per million input tokens
$0.10
per million tokens
$0.20
per million tokens
Output Token Cost
Cost per million outut tokens
$0.40
per million tokens
$1.10
per million tokens

Benchmarks

Compare relevant benchmarks between Llama 3.3 Nemotron Super 49B V1.5 and MiniMax-01.
Llama 3.3 Nemotron Super 49B V1.5Llama 3.3 Nemotron Super 49B V1.5
MiniMax-01MiniMax-01
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 3.3 Nemotron Super 49B V1.5 and MiniMax-01 unique.
NVIDIA logoLlama 3.3 Nemotron Super 49B V1.5 by NVIDIA can use external tools and APIs, offers advanced reasoning, generates structured data. It can handle standard conversations with its 131.1K token context window. Very affordable at $0.10/M input and $0.40/M output tokens. Released October 10th, 2025.
MiniMax logoMiniMax-01 by MiniMax understands both text and images. It can handle standard conversations with its 1M token context window. Very affordable at $0.20/M input and $1.10/M output tokens. Released January 15th, 2025.

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