MiniMax M3 vs GLM 5.2
Two fast-iterating challengers, MiniMax's M3 against GLM 5.2.
What the numbers say
- MiniMax M3 is about 1.5x cheaper on output tokens (13.2 vs 19.4 credits per 1M).
- Both take the same 1.0M-token context window.
- MiniMax M3 accepts images; GLM 5.2 is text-only.
- GLM 5.2 is the newer release (June 2026 vs May 2026).
Derived from the live registry Zeplik routes and bills against. Credits: 1 credit = $0.10, raw provider rate with a 1.10x margin.
Side by side
MiniMax M3
MiniMax
MiniMax-M3 is a multimodal foundation model from MiniMax. It supports text, image, and video inputs with text output, a 1M-token context window, and is suited for long-horizon agentic work, coding,...
- Provider
- MiniMax
- Context window
- 1.0M tokens
- Input price
- 3.3 credits / 1M tokens ($0.30 raw)
- Output price
- 13.2 credits / 1M tokens ($1.20 raw)
- Vision (image input)
- Yes
- Tool calling
- Yes
- Extended reasoning
- No
Best for
- High-volume everyday tasks where speed and cost matter: summaries, drafts, quick questions
- Very long documents and codebases: a 1.0M-token window fits entire books or repositories in one conversation
- Working with images: screenshots, charts, photos and scanned documents alongside text
- Tool use and agents: reliably calls functions, so it can search, run skills and drive workflows
GLM 5.2
Z.ai
GLM 5.2 is a large-scale reasoning model from Z.ai. It supports text input and output with a 1M-token context window, and is suited for long-horizon agent workflows, project-level software engineering,...
- Provider
- Z.ai
- Context window
- 1.0M tokens
- Input price
- 5.9 credits / 1M tokens ($0.54 raw)
- Output price
- 19.4 credits / 1M tokens ($1.76 raw)
- Vision (image input)
- No
- Tool calling
- Yes
- Extended reasoning
- No
Best for
- Everyday chat and drafting on an open-weight model with transparent lineage
- Very long documents and codebases: a 1.0M-token window fits entire books or repositories in one conversation
- Tool use and agents: reliably calls functions, so it can search, run skills and drive workflows
Try both on Zeplik
The honest answer to most model debates is to run your own prompt on both. Zeplik puts MiniMax M3 and GLM 5.2 in the same chat, so you can switch mid-conversation and compare answers on the work you actually do.