GLM 5.2 vs Mixtral 8x22B Instruct (Comparative Analysis)
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Comparative Analysis: GLM 5.2 vs. Mixtral 8x22B Instruct
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Overview
Mixtral 8x22B Instruct was released 2 years before GLM 5.2.
 GLM 5.2 |  Mixtral 8x22B Instruct | |
|---|---|---|
Model Provider The organization behind this AI's development | Z.AI | Mistral |
Input Context Window Maximum input tokens this model can process at once | 1M tokens | 65.5K tokens |
Output Token Limit Maximum output tokens this model can generate at once | 128K tokens | Not specified tokens |
Release Date When this model first became publicly available | June 16, 2026 1 month ago June 16th, 2026 | April 17, 2024 2 years ago April 17th, 2024 |
Knowledge Cutoff Latest training-data date reported by the provider | Not reported | January 31, 2024 |
Capabilities & Features
Compare supported features, modalities, and advanced capabilities
GLM 5.2 | Mixtral 8x22B Instruct | |
|---|---|---|
Input Types Supported input formats | 📝Text | 📝Text📁File |
Reasoning Controls Defaults and configurable reasoning effort | Enabled by defaultEffort: Extra High, HighDefault: High | Not reported |
Output Types Supported output formats | 📝Text | 📝Text |
Tokenizer Text encoding system | Other | Mistral |
Key Features Advanced capabilities | ✓Function Calling✓Structured Output✓Reasoning ModeContent Moderation | ✓Function Calling✓Structured OutputReasoning ModeContent Moderation |
Open Source Model availability | Available on HuggingFace → | Available on HuggingFace → |
Pricing
GLM 5.2 is roughly 0.2x less expensive compared to Mixtral 8x22B Instruct for input tokens and roughly 0.2x less expensive for output tokens.
| GLM 5.2 | Mixtral 8x22B Instruct | |
|---|---|---|
Input Token Cost Cost per million input tokens | $0.40 per million tokens | $2.00 per million tokens |
Output Token Cost Cost per million output tokens | $1.27 per million tokens | $6.00 per million tokens |
Cache Read Cost Cost to reuse cached input tokens | $0.08 per million tokens | $0.20 per million tokens |
Benchmarks
Compare relevant benchmarks between GLM 5.2 and Mixtral 8x22B Instruct.
| GLM 5.2 | Mixtral 8x22B Instruct | |
|---|---|---|
Intelligence Index Overall model quality across independent evaluations | 52.6 (Artificial Analysis index; higher is better) | Benchmark not available. |
Coding Index Programming performance across independent evaluations | 68.8 (Artificial Analysis index; higher is better) | Benchmark not available. |
Agentic Index Ability to complete multi-step agentic tasks | 45.7 (Artificial Analysis index; higher is better) | Benchmark not available. |
Best Design Arena Score Highest human-preference Elo score across design arenas | 1,362 Elo (#4 in 3D (59.7% win rate)) | Benchmark not available. |
At a Glance
Quick overview of what makes GLM 5.2 and Mixtral 8x22B Instruct unique.
GLM 5.2 by Z.AI can use external tools and APIs, offers advanced reasoning, generates structured data. It can handle standard conversations with its 1M token context window. Very affordable at $0.40/M input and $1.27/M output tokens. Released June 16th, 2026.Mixtral 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.Explore More Comparisons
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Compare Mixtral 8x22B Instruct with:
🚀Programming
Best models for coding and development
🎨Creative & Roleplay
Models optimized for creative writing
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Content creation and marketing tasks
💻Technology
Technical analysis and explanations
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