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MiniMax M3 vs GLM-5.2

Detailed comparison of API pricing, technical specifications, and benchmark scores. Updated 2026-06-29.

Cost at a Glance

GLM-5.2 is 4.1× more expensive than MiniMax M3 — switching could save 75.3% on your monthly API bill.

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

MiniMax M3$3.90/movsGLM-5.2$15.80/mo

Choosing MiniMax M3 could save you $11.90/mo

Price Comparison (per 1M tokens)

Input (per 1M tokens)
$0.30vs$1.40
Output (per 1M tokens)
$1.20vs$4.40
Cache Write (per 1M tokens)
vs
Cache Read (per 1M tokens)
vs$0.26
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
64Kvs128K
Knowledge Cutoff
2026-04vs2026-06
Modalities
TextvsText
Prompt Caching
NovsYes
Batch API
NovsNo
Thinking / Reasoning
NovsYes

Benchmark Scores

SWE-bench Verified
80.5vs62.1
MMLU-Pro
82.5vs86.0
HumanEval
92.0vs97.0

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

Use Cases

MiniMax M3

codingcheapopen-weight

GLM-5.2

codingreasoningopen-weightvalue

About the Providers

MiniMax M3 is developed by MiniMax. GLM-5.2 is developed by Zhipu AI. This is a cross-provider comparison between MiniMax and Zhipu AI models. For the most up-to-date pricing, always check the official API documentation from each provider.

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