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GLM 4.6 (exacto) vs Mixtral 8x22B Instruct (Comparative Analysis)

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Comparative Analysis: GLM 4.6 (exacto) vs. Mixtral 8x22B Instruct
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Overview

Mixtral 8x22B Instruct was released 1 year before GLM 4.6 (exacto).
GLM 4.6 (exacto)GLM 4.6 (exacto)
Mixtral 8x22B InstructMixtral 8x22B Instruct
Model Provider
The organization behind this AI's development
Z.AI logoZ.AI
Mistral logoMistral
Input Context Window
Maximum input tokens this model can process at once
204.8K
tokens
65.5K
tokens
Output Token Limit
Maximum output tokens this model can generate at once
131.1K
tokens
Not specified
tokens
Release Date
When this model first became publicly available
September 30th, 2025
April 17th, 2024

Capabilities & Features

Compare supported features, modalities, and advanced capabilities
GLM 4.6 (exacto)
Mixtral 8x22B Instruct
Input Types
Supported input formats
📝Text
📝Text
Output Types
Supported output formats
📝Text
📝Text
Tokenizer
Text encoding system
OtherMistral
Key Features
Advanced capabilities
✓Function Calling✓Structured Output✓Reasoning ModeContent Moderation
✓Function Calling✓Structured OutputReasoning ModeContent Moderation
Open Source
Model availability
ProprietaryAvailable on HuggingFace →

Pricing

GLM 4.6 (exacto) is roughly 0.3x less expensive compared to Mixtral 8x22B Instruct for input tokens and roughly 0.4x less expensive for output tokens.
GLM 4.6 (exacto)GLM 4.6 (exacto)
Mixtral 8x22B InstructMixtral 8x22B Instruct
Input Token Cost
Cost per million input tokens
$0.60
per million tokens
$2.00
per million tokens
Output Token Cost
Cost per million outut tokens
$2.20
per million tokens
$6.00
per million tokens

Benchmarks

Compare relevant benchmarks between GLM 4.6 (exacto) and Mixtral 8x22B Instruct.
GLM 4.6 (exacto)GLM 4.6 (exacto)
Mixtral 8x22B InstructMixtral 8x22B 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 GLM 4.6 (exacto) and Mixtral 8x22B Instruct unique.
Z.AI logoGLM 4.6 (exacto) by Z.AI can use external tools and APIs, offers advanced reasoning, generates structured data. It can handle standard conversations with its 204.8K token context window. Reasonably priced at $0.60/M input and $2.20/M output tokens. Released September 30th, 2025.
Mistral logoMixtral 8x22B Instruct by Mistral can use external tools and APIs, generates structured data. It can handle standard conversations with its 65.5K token context window. Reasonably priced at $2.00/M input and $6.00/M output tokens. Released April 17th, 2024.