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

No common benchmarks found

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

Llama 4 Scout costs less

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

Lowest available price from all providers
Sun Jun 07 2026 • llm-stats.com
Zhipu AI
GLM-5
Input tokens$1.00
Output tokens$3.20
Best providerFriendliAI
Meta
Llama 4 Scout
Input tokens$0.08
Output tokens$0.30
Best providerDeepinfra
Notice missing or incorrect data?Start an Issue

Model Size

Parameter count comparison

635.0B diff

GLM-5 has 635.0B more parameters than Llama 4 Scout, making it 582.6% larger.

Zhipu AI
GLM-5
744.0Bparameters
Meta
Llama 4 Scout
109.0Bparameters
744.0B
GLM-5
109.0B
Llama 4 Scout

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.

Zhipu AI
GLM-5
Input200,000 tokens
Output128,000 tokens
Meta
Llama 4 Scout
Input10,000,000 tokens
Output10,000,000 tokens
Sun Jun 07 2026 • llm-stats.com

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

Text
Images
Audio
Video

Llama 4 Scout

Text
Images
Audio
Video

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.

GLM-5

MIT

Open weights

Llama 4 Scout

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.

GLM-5

Feb 11, 2026

3 months ago

10mo newer
Llama 4 Scout

Apr 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.

No cutoff dates available

Provider Availability

GLM-5 is available from FriendliAI, ZAI. Llama 4 Scout is available from DeepInfra, Lambda, Novita, Groq, Fireworks, Together.

GLM-5

friendli logo
FriendliAI
Input Price:Input: $1.00/1MOutput Price:Output: $3.20/1M
z logo
Unknown Organization
Input Price:Input: $1.00/1MOutput Price:Output: $3.20/1M

Llama 4 Scout

deepinfra logo
Deepinfra
Input Price:Input: $0.08/1MOutput Price:Output: $0.30/1M
lambda logo
Lambda
Input Price:Input: $0.08/1MOutput Price:Output: $0.30/1M
novita logo
Novita
Input Price:Input: $0.10/1MOutput Price:Output: $0.50/1M
groq logo
Groq
Input Price:Input: $0.11/1MOutput Price:Output: $0.34/1M
fireworks logo
Fireworks
Input Price:Input: $0.15/1MOutput Price:Output: $0.60/1M
together logo
Together
Input Price:Input: $0.18/1MOutput Price:Output: $0.59/1M
* Prices shown are per million tokens

Outputs Comparison

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Key Takeaways

No standout differentiators in the data we have for this pair.

Larger context window (10,000,000 tokens)
Supports multimodal inputs
Less expensive input tokens
Less expensive output tokens

Detailed Comparison

AI Model Comparison Table
Feature
Zhipu AI
GLM-5
Meta
Llama 4 Scout

FAQ

Common questions about GLM-5 vs Llama 4 Scout.

Which is better, GLM-5 or Llama 4 Scout?

GLM-5 (Zhipu AI) and Llama 4 Scout (Meta) each have strengths in different areas. Compare their benchmark scores, pricing, context windows, and capabilities above to determine which fits your needs.

How does GLM-5 compare to Llama 4 Scout in benchmarks?

GLM-5 scores t2-bench: 89.7%, SWE-Bench Verified: 77.8%, BrowseComp: 75.9%, MCP Atlas: 67.8%, Terminal-Bench 2.0: 56.2%. Llama 4 Scout scores DocVQA: 94.4%, MGSM: 90.6%, ChartQA: 88.8%, MMLU: 79.6%, MMLU-Pro: 74.3%.

Is GLM-5 cheaper than Llama 4 Scout?

Llama 4 Scout is 12.5x cheaper for input tokens. GLM-5 costs $1.00/M input and $3.20/M output via friendli. Llama 4 Scout costs $0.08/M input and $0.30/M output via deepinfra.

What are the context window sizes for GLM-5 and Llama 4 Scout?

GLM-5 supports 200K tokens and Llama 4 Scout supports 10.0M tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between GLM-5 and Llama 4 Scout?

Key differences include context window (200K vs 10.0M), input pricing ($1.00 vs $0.08/M), multimodal support (no vs yes), licensing (MIT vs Llama 4 Community License Agreement). See the full comparison above for benchmark-by-benchmark results.

Who makes GLM-5 and Llama 4 Scout?

GLM-5 is developed by Zhipu AI and Llama 4 Scout is developed by Meta.