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GLM-5.2 vs MiniMax M3: Complete Comparison

GLM-5.2 and MiniMax M3 are open-weight Chinese frontier candidates with one-million-token context windows.

Featured · Updated today · Last verified: July 2026 · Score 5

Choose GLM-5.2 when

Open-weight reasoning, coding, and agent workloads.

Choose MiniMax M3 when

Multimodal agents, computer use, and coding workflows.

Overview

GLM-5.2 and MiniMax M3 are open-weight Chinese frontier candidates with one-million-token context windows. Choose GLM-5.2 for its MIT license, text reasoning, coding, and MoE deployment path; choose MiniMax M3 when native image and video understanding or computer-use workflows are central. Both require serious serving and long-context evaluation.

Recommendation

GLM-5.2 and MiniMax M3 are open-weight Chinese frontier candidates with one-million-token context windows.

Limitations and trade-offs

A large context window is not evidence of uniform recall. Self-hosting cost and risk depend heavily on the serving stack.

This page is based on publicly available documentation, benchmarks, and real-world usage patterns. Last reviewed for accuracy recently.