The AI arena is free today

Open Superagent

GLM-4.5-Air vs Llama 4 Maverick

GLM-4.5-Air leads the LLM Stats Score 24.6 to 14.8.

Zhipu AI · Meta · Updated for 2026

Which is better?

GLM-4.5-Air leads the overall LLM Stats Score 24.6 to 14.8, ranking #153 overall.

In the 3 individual benchmarks reported for both models, GLM-4.5-Air wins 3; this is a narrower head-to-head signal than the composite indexes.

Based on current LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.

Choose GLM-4.5-Air

  • overall performance matters — it scores 24.6 and ranks #153 on LLM Stats
  • your work emphasizes reasoning — it leads those capability indexes
  • you value its reported benchmark strengths — it wins 3 of 3 exact shared results
  • you want the most recent training data — it shipped Jul 2025

Choose Llama 4 Maverick

  • you want predictable pricing at $0.17/M input and $0.60/M output

At a glance

The differences that matter most.

Core performance indexes
24.6
#153
14.8
#221
24.0
#151
14.5
#218
11.6
#148
3.2
#211
Cost, coverage & limits
Benchmark wins
3 of 3
0 of 3
Input price
— / M
$0.17 / M
Output price
— / M
$0.60 / M
Context window
1,000,000

Capability indexes

Additional strengths measured across groups of related public benchmarks

2 shared
Index
GLM-4.5-Air
Llama 4 Maverick
22.7#128
20.6#149
26.7#41
19.1#85
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

14 reported for GLM-4.5-Air · 13 for Llama 4 Maverick

3 shared

GLM-4.5-Air outperforms in 3 benchmarks (GPQA, LiveCodeBench, MMLU-Pro), while Llama 4 Maverick is better at 0 benchmarks.

GLM-4.5-Air significantly outperforms across most benchmarks.

Sun Sep 06 2026 • llm-stats.com

Human preference

Blind head-to-head votes and playground preference scores

Model Size

Parameter count comparison

294.0B diff

Llama 4 Maverick has 294.0B more parameters than GLM-4.5-Air, making it 277.4% larger.

Zhipu AI
GLM-4.5-Air
106.0Bparameters
Meta
Llama 4 Maverick
400.0Bparameters
106.0B
GLM-4.5-Air
400.0B
Llama 4 Maverick

Context Window

Maximum input and output token capacity

Only Llama 4 Maverick specifies input context (1,000,000 tokens). Only Llama 4 Maverick specifies output context (1,000,000 tokens).

Zhipu AI
GLM-4.5-Air
Input- tokens
Output- tokens
Meta
Llama 4 Maverick
Input1,000,000 tokens
Output1,000,000 tokens
Sun Sep 06 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Llama 4 Maverick supports multimodal inputs, whereas GLM-4.5-Air does not.

Llama 4 Maverick can handle both text and other forms of data like images, making it suitable for multimodal applications.

GLM-4.5-Air

Text
Images
Audio
Video

Llama 4 Maverick

Text
Images
Audio
Video

License

Usage and distribution terms

GLM-4.5-Air 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-4.5-Air

MIT

Open weights

Llama 4 Maverick

Llama 4 Community License Agreement

Open weights

Release Timeline

When each model was launched

GLM-4.5-Air was released on 2025-07-28, while Llama 4 Maverick was released on 2025-04-05.

GLM-4.5-Air is 4 months newer than Llama 4 Maverick.

GLM-4.5-Air

Jul 28, 2025

1.1 years ago

3mo newer
Llama 4 Maverick

Apr 5, 2025

1.4 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

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion

Judge for yourself.

Run your own prompts against GLM-4.5-Air and Llama 4 Maverick side-by-side, then vote on the output you prefer.

GLM-4.5-Air
✓ Preferred
Llama 4 Maverick
Open in Playground

FAQ

Common questions about GLM-4.5-Air vs Llama 4 Maverick.

Which is better, GLM-4.5-Air or Llama 4 Maverick?

GLM-4.5-Air leads the LLM Stats Score 24.6 to 14.8. GLM-4.5-Air is made by Zhipu AI and Llama 4 Maverick is made by Meta. The best choice depends on your use case — compare their capability indexes, individual benchmarks, pricing, and limits above.

How does GLM-4.5-Air compare to Llama 4 Maverick in benchmarks?

GLM-4.5-Air scores MATH-500: 98.1%, AIME 2024: 89.4%, MMLU-Pro: 81.4%, TAU-bench Retail: 77.9%, BFCL-v3: 76.4%. Llama 4 Maverick scores DocVQA: 94.4%, MGSM: 92.3%, ChartQA: 90.0%, MMLU: 85.5%, MMLU-Pro: 80.5%.

What are the context window sizes for GLM-4.5-Air and Llama 4 Maverick?

GLM-4.5-Air supports an unknown number of 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-4.5-Air and Llama 4 Maverick?

Key differences include LLM Stats Score (24.6 vs 14.8), 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-4.5-Air and Llama 4 Maverick?

GLM-4.5-Air is developed by Zhipu AI and Llama 4 Maverick is developed by Meta.