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Mistral Large 2407 vs Qwen2.5 Coder 32B Instruct (Comparative Analysis)

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Comparative Analysis: Mistral Large 2407 vs. Qwen2.5 Coder 32B Instruct
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Overview

Qwen2.5 Coder 32B Instruct was released 8 days before Mistral Large 2407.
Mistral Large 2407Mistral Large 2407
Qwen2.5 Coder 32B InstructQwen2.5 Coder 32B Instruct
Model Provider
The organization behind this AI's development
Mistral logoMistral
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
Not specified
tokens
32.8K
tokens
Release Date
When this model first became publicly available
November 19th, 2024
November 11th, 2024
Knowledge Cutoff
Latest training-data date reported by the provider
March 31, 2024
June 30, 2024

Capabilities & Features

Compare supported features, modalities, and advanced capabilities
Mistral Large 2407
Qwen2.5 Coder 32B Instruct
Input Types
Supported input formats
📝Text📁File
📝Text
Output Types
Supported output formats
📝Text
📝Text
Tokenizer
Text encoding system
MistralQwen
Key Features
Advanced capabilities
Function CallingStructured OutputReasoning ModeContent Moderation
Function CallingStructured OutputReasoning ModeContent Moderation
Open Source
Model availability
ProprietaryAvailable on HuggingFace →

Pricing

Mistral Large 2407 is roughly 3.0x more expensive compared to Qwen2.5 Coder 32B Instruct for input tokens and roughly 6.0x more expensive for output tokens.
Mistral Large 2407Mistral Large 2407
Qwen2.5 Coder 32B InstructQwen2.5 Coder 32B Instruct
Input Token Cost
Cost per million input tokens
$2.00
per million tokens
$0.66
per million tokens
Output Token Cost
Cost per million output tokens
$6.00
per million tokens
$1.00
per million tokens
Cache Read Cost
Cost to reuse cached input tokens
$0.20
per million tokens
Not specified

At a Glance

Quick overview of what makes Mistral Large 2407 and Qwen2.5 Coder 32B Instruct unique.
Mistral logoMistral Large 2407 by Mistral can use external tools and APIs, generates structured data. It can handle standard conversations with its 131.1K token context window. Reasonably priced at $2.00/M input and $6.00/M output tokens. Released November 19th, 2024.
Qwen logoQwen2.5 Coder 32B Instruct by Qwen is a text-based AI model. It can handle standard conversations with its 32.8K token context window. Reasonably priced at $0.66/M input and $1.00/M output tokens. Released November 11th, 2024.

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