GLM / Z.ai (Zhipu AI)
Our pickMiniMax M2.7
Tier-list head-to-head. MiniMax M2.7 takes the A-tier slot — here's the breakdown.
Spec sheet
| GLM / Z.ai (Zhipu AI) | MiniMax M2.7 | |
|---|---|---|
| Tier | A-tier | A-tierwin |
| Overall score | 8.0 / 10 | 8.4 / 10win |
| Free tier | Yes | Yes |
| Starting price | $0 | $0 |
| Best for | Teams that need genuine MIT-licensed frontier open weights with no commercial strings. | Agentic coding and tool-use workflows on a budget. |
| Last reviewed | 2026-04-17 | 2026-04-27 |
Head-to-head
Rated 1-10 on the same rubric across all 130 tools we cover.
Vibe check
How each tool actually sounds when you talk to it.
“The Z.ai research model”
“The Chinese multimodal generalist”
What you'll pay
Look past the headline number -- entry-tier limits drive most cost surprises.
Free tier available
Free tier available
GLM-5.1 (744B MoE / 40B active) vs MiniMax-M2.7 (229B total, ~10B active MoE) -- self-evolving agent positioning per vendor
| Benchmark | GLM / Z.ai (Zhipu AI) | MiniMax M2.7 |
|---|---|---|
| SWE-Bench Pro | 58.4% | 56.22% |
The decision
Use-case anchors and category strengths, side by side.
Teams that need genuine MIT-licensed frontier open weights with no commercial strings. Especially strong for agentic workflows and vision (GLM-4.6V).
Visit GLM / Z.ai (Zhipu AI)Agentic coding and tool-use workflows on a budget. Best price-to-SWE-Bench ratio of any open-weights model in 2026.
Visit MiniMax M2.7Bottom line
MiniMax M2.7 edges out GLM / Z.ai (Zhipu AI) by 0.4 points (8.4 vs 8.0) -- a A-tier vs A-tier split that's narrow but real. Not a blowout; both belong on a shortlist. The score gap shows up most clearly in the categories that matter for MiniMax M2.7's strengths, so if those categories are your priority, the lead translates.
Pricing-wise, both tools have a free tier (GLM / Z.ai (Zhipu AI) starts $0, MiniMax M2.7 starts $0), so you can test either without committing. Compare what each free tier actually unlocks -- usage caps, model access, and feature gates differ a lot more than the headline price suggests, especially as both vendors have tightened limits in 2026.
By use case: pick GLM / Z.ai (Zhipu AI) when teams that need genuine mit-licensed frontier open weights with no commercial strings. Pick MiniMax M2.7 when agentic coding and tool-use workflows on a budget. The two tools aren't fighting for the same person -- they're aiming at adjacent jobs that occasionally overlap. If you're squarely in MiniMax M2.7's lane, the tier-list ranking and the use-case fit point the same direction; if you're in GLM / Z.ai (Zhipu AI)'s lane, the score gap matters less than the fit.
Bottom line: MiniMax M2.7 is the safer default for most readers, but GLM / Z.ai (Zhipu AI) is competitive enough that the tie-breaker is your specific workload, not the spec sheet.
Keep digging
Full GLM / Z.ai (Zhipu AI) review
Tier A · 8.0/10
Full MiniMax M2.7 review
Tier A · 8.4/10
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MiniMax M2.7 alternatives
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Built from our daily AI-tool sweep, last touched April 27, 2026. Honest tier-list reviews — no affiliate-link pieces disguised as advice. See the rubric or how we review.