GLM 4.5 vs Llama 4 Scout (Comparative Analysis)
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Comparative Analysis: GLM 4.5 vs. Llama 4 Scout
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Overview
Llama 4 Scout was released 3 months before GLM 4.5.
 GLM 4.5 |  Llama 4 Scout | |
|---|---|---|
Model Provider The organization behind this AI's development | Z.AI | Meta |
Input Context Window Maximum input tokens this model can process at once | 131.1K tokens | 10M tokens |
Output Token Limit Maximum output tokens this model can generate at once | 98.3K tokens | 16.4K tokens |
Release Date When this model first became publicly available | July 25, 2025 12 months ago July 25th, 2025 | April 5, 2025 1 year ago April 5th, 2025 |
Knowledge Cutoff Latest training-data date reported by the provider | December 31, 2024 | August 31, 2024 |
Capabilities & Features
Compare supported features, modalities, and advanced capabilities
GLM 4.5 | Llama 4 Scout | |
|---|---|---|
Input Types Supported input formats | 📝Text | 📝Text🖼️Image |
Reasoning Controls Defaults and configurable reasoning effort | Optional | Not reported |
Output Types Supported output formats | 📝Text | 📝Text |
Tokenizer Text encoding system | Other | Llama4 |
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 4.5 is roughly 6.0x more expensive compared to Llama 4 Scout for input tokens and roughly 7.3x more expensive for output tokens.
| GLM 4.5 | Llama 4 Scout | |
|---|---|---|
Input Token Cost Cost per million input tokens | $0.60 per million tokens | $0.10 per million tokens |
Output Token Cost Cost per million output tokens | $2.20 per million tokens | $0.30 per million tokens |
Cache Read Cost Cost to reuse cached input tokens | $0.11 per million tokens | Not specified |
Benchmarks
Compare relevant benchmarks between GLM 4.5 and Llama 4 Scout.
| GLM 4.5 | Llama 4 Scout | |
|---|---|---|
Intelligence Index Overall model quality across independent evaluations | Benchmark not available. | 10 (Artificial Analysis index; higher is better) |
Coding Index Programming performance across independent evaluations | Benchmark not available. | 8.2 (Artificial Analysis index; higher is better) |
Agentic Index Ability to complete multi-step agentic tasks | Benchmark not available. | 1.1 (Artificial Analysis index; higher is better) |
Best Design Arena Score Highest human-preference Elo score across design arenas | 1,237 Elo (#36 in 3D (59.7% win rate)) | 932 Elo (#103 in Data Viz (39.3% win rate)) |
At a Glance
Quick overview of what makes GLM 4.5 and Llama 4 Scout unique.
GLM 4.5 by Z.AI can use external tools and APIs, offers advanced reasoning, generates structured data. It can handle standard conversations with its 131.1K token context window. Reasonably priced at $0.60/M input and $2.20/M output tokens. Released July 25th, 2025.Llama 4 Scout by Meta understands both text and images, can use external tools and APIs, generates structured data. It can handle standard conversations with its 10M token context window. Very affordable at $0.10/M input and $0.30/M output tokens. Released April 5th, 2025.Explore More Comparisons
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Compare Llama 4 Scout with:
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Best models for coding and development
🎨Creative & Roleplay
Models optimized for creative writing
📢Marketing
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💻Technology
Technical analysis and explanations
🔬Science
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