Model Comparison
GLM-5 vs Llama 4 ScoutWhich is better in 2026?
Comparing GLM-5 and Llama 4 Scout across benchmarks, pricing, and capabilities.
Verdict: GLM-5 vs Llama 4 Scout — which is better?
GLM-5 (by Zhipu AI) and Llama 4 Scout (by Meta) are two of the AI models people compare most. Here is how they stack up on benchmarks, price and capabilities, and which one to pick in 2026.
On price, Llama 4 Scout is roughly 11.5x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
Llama 4 Scout also accepts a larger context window (10,000,000 input tokens), making it the stronger choice for long documents and large codebases.
Choose GLM-5 if…
- you want the most recent training data — it shipped Feb 2026
Choose Llama 4 Scout if…
- cost matters — it's about 11.5x cheaper per token
- you process long inputs — it offers a 10,000,000 token context window
Performance Benchmarks
Comparative analysis across standard metrics
GLM-5 and Llama 4 Scout don't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.
Arena Performance
Human preference votes
Pricing Analysis
Price comparison per million tokens
For input processing, GLM-5 ($1.00/1M tokens) is 12.5x more expensive than Llama 4 Scout ($0.08/1M tokens).
For output processing, GLM-5 ($3.20/1M tokens) is 10.7x more expensive than Llama 4 Scout ($0.30/1M tokens).
In conclusion, GLM-5 is more expensive than Llama 4 Scout.*
* Using a 3:1 ratio of input to output tokens
Model Size
Parameter count comparison
GLM-5 has 635.0B more parameters than Llama 4 Scout, making it 582.6% larger.
Context Window
Maximum input and output token capacity
Llama 4 Scout accepts 10,000,000 input tokens compared to GLM-5's 200,000 tokens. Llama 4 Scout can generate longer responses up to 10,000,000 tokens, while GLM-5 is limited to 128,000 tokens.
Input Capabilities
Supported data types and modalities
Llama 4 Scout supports multimodal inputs, whereas GLM-5 does not.
Llama 4 Scout can handle both text and other forms of data like images, making it suitable for multimodal applications.
GLM-5
Llama 4 Scout
License
Usage and distribution terms
GLM-5 is licensed under MIT, while Llama 4 Scout uses Llama 4 Community License Agreement.
License differences may affect how you can use these models in commercial or open-source projects.
MIT
Open weights
Llama 4 Community License Agreement
Open weights
Release Timeline
When each model was launched
GLM-5 was released on 2026-02-11, while Llama 4 Scout was released on 2025-04-05.
GLM-5 is 10 months newer than Llama 4 Scout.
Feb 11, 2026
3 months ago
10mo newerApr 5, 2025
1.2 years ago
Knowledge Cutoff
When training data ends
Neither model specifies a knowledge cutoff date.
Unable to compare the recency of their training data.
Provider Availability
GLM-5 is available from FriendliAI, ZAI. Llama 4 Scout is available from DeepInfra, Lambda, Novita, Groq, Fireworks, Together.
GLM-5
Llama 4 Scout
Outputs Comparison
Key Takeaways
GLM-5
View detailsZhipu AI
No standout differentiators in the data we have for this pair.
Detailed Comparison
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FAQ
Common questions about GLM-5 vs Llama 4 Scout.