$ diff glm-5-2 minimax-m3
GLM-5.2 vs MiniMax M3
Z.ai and MiniMax, side by side. Every value below is the one recorded on the model’s own wiki page, with its citation — nothing is estimated.
What actually differs
- Context window
- Identical — both accept 1M tokens, so context length is not a reason to pick either.
- Weights
- Both publish weights — GLM-5.2 under MIT (unrestricted, "no regional limits"), MiniMax M3 under Open-weight (HuggingFace). Check the licences rather than assuming they permit the same commercial use.
- Recency
- GLM-5.2 shipped 12 days after MiniMax M3 (2026-06-13 vs 2026-06-01).
Full spec
| Attribute | GLM-5.2 | MiniMax M3 |
|---|---|---|
| Developer | Z.ai | MiniMax |
| Released | 2026-06-13 | 2026-06-01 |
| Context window | 1,000,000 tokens | 1,000,000 tokens (1M); min. 512K guaranteed |
| Pricing | not publicly listed as of 2026-07-13 (~1/6th GPT-5.5 API cost per VentureBeat) | Available via API; pricing on OpenRouter |
| License | MIT (unrestricted, "no regional limits") | Open-weight (HuggingFace) |
| Availability | GLM Coding Plan (highest subscription tier), standalone API, open weights, NVIDIA NIM hosted | API (global, including English) + open-weight on HuggingFace |
Values come from GLM-5.2 and MiniMax M3, where each is cited to its source. This page states no benchmark result and ranks neither model — it puts two published specifications next to each other. Where a lab has not published a figure, the row says so rather than guessing. How these pages are produced.