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GLM-5.2 vs Llama 4 Maverick

Detailed comparison of API pricing, technical specifications, and benchmark scores. Updated 2026-07-14.

Cost at a Glance

GLM-5.2 is 2× more expensive than Llama 4 Maverick — switching could save 49.4% on your monthly API bill.

At 5M input + 2M output tokens per month:

GLM-5.2$15.80/movsLlama 4 Maverick$8.00/mo

Choosing Llama 4 Maverick could save you $7.80/mo

Price Comparison (per 1M tokens)

Input (per 1M tokens)
$1.40vs$0.80
Output (per 1M tokens)
$4.40vs$2.00
Cache Write (per 1M tokens)
vs
Cache Read (per 1M tokens)
$0.26vs
Batch Input (per 1M tokens)
vs
Batch Output (per 1M tokens)
vs

Prices are per 1 million tokens. Actual costs depend on your monthly token volume. Use the calculator →

Specifications

Context Window
1Mvs1M
Max Output Tokens
128Kvs64K
Knowledge Cutoff
2026-06vs2026-03
Modalities
TextvsText, Image
Prompt Caching
YesvsNo
Batch API
NovsNo
Thinking / Reasoning
YesvsNo

Benchmark Scores

SWE-bench Verified
62.1vs72.0
MMLU-Pro
86.0vs81.0
HumanEval
97.0vs89.0

Benchmark scores from official provider reports. Higher is better. Missing scores indicate the provider has not published that benchmark yet.

Use Cases

GLM-5.2

codingreasoningopen-weightvalue

Llama 4 Maverick

generalopen-weightmultimodal

About the Providers

GLM-5.2 is developed by Zhipu AI. Llama 4 Maverick is developed by Meta. This is a cross-provider comparison between Zhipu AI and Meta models. For the most up-to-date pricing, always check the official API documentation from each provider.

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