Model Comparison

GLM-5 vs Llama 4 Maverick

Comparing GLM-5 and Llama 4 Maverick across benchmarks, pricing, and capabilities.

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Performance Benchmarks

Comparative analysis across standard metrics

No common benchmarks found

GLM-5 and Llama 4 Maverick 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 Maverick costs less

For input processing, GLM-5 ($1.00/1M tokens) is 5.9x more expensive than Llama 4 Maverick ($0.17/1M tokens).

For output processing, GLM-5 ($3.20/1M tokens) is 5.3x more expensive than Llama 4 Maverick ($0.60/1M tokens).

In conclusion, GLM-5 is more expensive than Llama 4 Maverick.*

* Using a 3:1 ratio of input to output tokens

Lowest available price from all providers
Mon Jun 01 2026 • llm-stats.com
Zhipu AI
GLM-5
Input tokens$1.00
Output tokens$3.20
Best providerFriendliAI
Meta
Llama 4 Maverick
Input tokens$0.17
Output tokens$0.60
Best providerDeepinfra
Notice missing or incorrect data?Start an Issue→

Model Size

Parameter count comparison

344.0B diff

GLM-5 has 344.0B more parameters than Llama 4 Maverick, making it 86.0% larger.

Zhipu AI
GLM-5
744.0Bparameters
Meta
Llama 4 Maverick
400.0Bparameters
744.0B
GLM-5
400.0B
Llama 4 Maverick

Context Window

Maximum input and output token capacity

Llama 4 Maverick accepts 1,000,000 input tokens compared to GLM-5's 200,000 tokens. Llama 4 Maverick can generate longer responses up to 1,000,000 tokens, while GLM-5 is limited to 128,000 tokens.

Zhipu AI
GLM-5
Input200,000 tokens
Output128,000 tokens
Meta
Llama 4 Maverick
Input1,000,000 tokens
Output1,000,000 tokens
Mon Jun 01 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Llama 4 Maverick supports multimodal inputs, whereas GLM-5 does not.

Llama 4 Maverick 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 Maverick

Text
Images
Audio
Video

License

Usage and distribution terms

GLM-5 is licensed under MIT, while Llama 4 Maverick 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 Maverick

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 Maverick was released on 2025-04-05.

GLM-5 is 10 months newer than Llama 4 Maverick.

GLM-5

Feb 11, 2026

3 months ago

10mo newer
Llama 4 Maverick

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 Maverick is available from DeepInfra, Novita, Lambda, Groq, Fireworks, Together, Sambanova.

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 Maverick

deepinfra logo
Deepinfra
Input Price:Input: $0.17/1MOutput Price:Output: $0.60/1M
novita logo
Novita
Input Price:Input: $0.17/1MOutput Price:Output: $0.85/1M
lambda logo
Lambda
Input Price:Input: $0.18/1MOutput Price:Output: $0.60/1M
groq logo
Groq
Input Price:Input: $0.20/1MOutput Price:Output: $0.60/1M
fireworks logo
Fireworks
Input Price:Input: $0.22/1MOutput Price:Output: $0.88/1M
together logo
Together
Input Price:Input: $0.27/1MOutput Price:Output: $0.85/1M
sambanova logo
Sambanova
Input Price:Input: $0.63/1MOutput Price:Output: $1.79/1M
* Prices shown are per million tokens

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Key Takeaways

Zhipu AI

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

Meta
Larger context window (1,000,000 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 Maverick

FAQ

Common questions about GLM-5 vs Llama 4 Maverick.

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

GLM-5 (Zhipu AI) and Llama 4 Maverick (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 Maverick 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 Maverick scores DocVQA: 94.4%, MGSM: 92.3%, ChartQA: 90.0%, MMLU: 85.5%, MMLU-Pro: 80.5%.

Is GLM-5 cheaper than Llama 4 Maverick?

Llama 4 Maverick is 5.9x cheaper for input tokens. GLM-5 costs $1.00/M input and $3.20/M output via friendli. Llama 4 Maverick costs $0.17/M input and $0.60/M output via deepinfra.

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

GLM-5 supports 200K tokens and Llama 4 Maverick supports 1.0M 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 Maverick?

Key differences include context window (200K vs 1.0M), input pricing ($1.00 vs $0.17/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 Maverick?

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