GLM 5.2 vs Llama 3.2 3B Instruct (Comparative Analysis)
Loading comparison form...
Comparative Analysis: GLM 5.2 vs. Llama 3.2 3B Instruct
Want to try out these models side by side?Try Magica for free
Overview
Llama 3.2 3B Instruct was released 1 year before GLM 5.2.
 GLM 5.2 |  Llama 3.2 3B Instruct | |
|---|---|---|
Model Provider The organization behind this AI's development | Z.AI | Meta |
Input Context Window Maximum input tokens this model can process at once | 1M tokens | 131.1K tokens |
Output Token Limit Maximum output tokens this model can generate at once | 131.1K tokens | 131.1K tokens |
Release Date When this model first became publicly available | June 16, 2026 1 month ago June 16th, 2026 | September 25, 2024 1 year ago September 25th, 2024 |
Knowledge Cutoff Latest training-data date reported by the provider | Not reported | December 31, 2023 |
Capabilities & Features
Compare supported features, modalities, and advanced capabilities
GLM 5.2 | Llama 3.2 3B Instruct | |
|---|---|---|
Input Types Supported input formats | 📝Text | 📝Text |
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 | Llama3 |
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 7.6x more expensive compared to Llama 3.2 3B Instruct for input tokens and roughly 3.6x more expensive for output tokens.
| GLM 5.2 | Llama 3.2 3B Instruct | |
|---|---|---|
Input Token Cost Cost per million input tokens | $0.38 per million tokens | $0.05 per million tokens |
Output Token Cost Cost per million output tokens | $1.19 per million tokens | $0.33 per million tokens |
Cache Read Cost Cost to reuse cached input tokens | $0.07 per million tokens | Not specified |
Benchmarks
Compare relevant benchmarks between GLM 5.2 and Llama 3.2 3B Instruct.
| GLM 5.2 | Llama 3.2 3B 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 Llama 3.2 3B 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 $0.38/M input and $1.19/M output tokens. Released June 16th, 2026.Llama 3.2 3B Instruct by Meta generates structured data. It can handle standard conversations with its 131.1K token context window. Very affordable at $0.05/M input and $0.33/M output tokens. Released September 25th, 2024.Explore More Comparisons
Compare your models with top performers across different categories
Compare GLM 5.2 with:
🚀Programming
Best models for coding and development
🎨Creative & Roleplay
Models optimized for creative writing
📢Marketing
Content creation and marketing tasks
💻Technology
Technical analysis and explanations
🔬Science
Scientific research and analysis
🌐Translation
Multilingual translation tasks
Compare Llama 3.2 3B Instruct with:
🚀Programming
Best models for coding and development
🎨Creative & Roleplay
Models optimized for creative writing
📢Marketing
Content creation and marketing tasks
💻Technology
Technical analysis and explanations
🔬Science
Scientific research and analysis
🌐Translation
Multilingual translation tasks
