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Command A vs Qwen2.5 VL 32B Instruct (Comparative Analysis)

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Comparative Analysis: Command A vs. Qwen2.5 VL 32B Instruct
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Overview

Command A was released 11 days before Qwen2.5 VL 32B Instruct.
Command ACommand A
Qwen2.5 VL 32B InstructQwen2.5 VL 32B Instruct
Model Provider
The organization behind this AI's development
Cohere logoCohere
Qwen logoQwen
Input Context Window
Maximum input tokens this model can process at once
256K
tokens
16.4K
tokens
Output Token Limit
Maximum output tokens this model can generate at once
8.2K
tokens
16.4K
tokens
Release Date
When this model first became publicly available
March 13th, 2025
March 24th, 2025

Capabilities & Features

Compare supported features, modalities, and advanced capabilities
Command A
Qwen2.5 VL 32B Instruct
Input Types
Supported input formats
📝Text
📝Text🖼️Image
Output Types
Supported output formats
📝Text
📝Text
Tokenizer
Text encoding system
OtherQwen
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

Command A is roughly 50.0x more expensive compared to Qwen2.5 VL 32B Instruct for input tokens and roughly 45.5x more expensive for output tokens.
Command ACommand A
Qwen2.5 VL 32B InstructQwen2.5 VL 32B Instruct
Input Token Cost
Cost per million input tokens
$2.50
per million tokens
$0.05
per million tokens
Output Token Cost
Cost per million outut tokens
$10.00
per million tokens
$0.22
per million tokens

Benchmarks

Compare relevant benchmarks between Command A and Qwen2.5 VL 32B Instruct.
Command ACommand A
Qwen2.5 VL 32B InstructQwen2.5 VL 32B 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 Command A and Qwen2.5 VL 32B Instruct unique.
Cohere logoCommand A by Cohere generates structured data. It can handle standard conversations with its 256K token context window. Reasonably priced at $2.50/M input and $10.00/M output tokens. Includes built-in content moderation for safer outputs. Released March 13th, 2025.
Qwen logoQwen2.5 VL 32B Instruct by Qwen understands both text and images, generates structured data. It can handle standard conversations with its 16.4K token context window. Very affordable at $0.05/M input and $0.22/M output tokens. Released March 24th, 2025.

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