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Z.ai GLM 5.2 VS MiniMax MiniMax M2.7

GLM 5.2 vs MiniMax M2.7: which wins at real work?

22 task areas · same graded test runs · rank comparison only, so 0–100 and Elo collections never mix raw scores.

GLM 5.2 wins 22 of 22 task areas we tested; MiniMax M2.7 takes 0. MiniMax M2.7 costs 4.2× less per token ($0.9 vs $3.76 per 1M).

22
Task areas won
0
74
Avg percentile
15
0
Top-3 finishes
0
$3.76
Price / 1M tokens
$0.9
Z.ai
Provider
MiniMax

MiniMax M2.7 costs 4.2× less per token ($0.9 vs $3.76 per 1M).

Task by task

Task area GLM 5.2 MiniMax M2.7 Winner
Summarization & Meeting Notes #9 / 110
Excellent
#104 / 110
Strong
GLM 5.2
Customer Support #16 / 113
Strong
#108 / 113
Needs editing
GLM 5.2
RAG, Safety & Grounding #6 / 113
Excellent
#94 / 113
Strong
GLM 5.2
Knowledge & Docs #21 / 110
Strong
#108 / 110
Weak
GLM 5.2
AI Strategy #34 / 126
Strong
#119 / 126
Usable
GLM 5.2
Coding #23 / 115
Strong
#105 / 115
Usable
GLM 5.2
Content & Brand #19 / 124
Strong
#96 / 124
Usable
GLM 5.2
Training & Education #29 / 110
Excellent
#106 / 110
Usable
GLM 5.2
Frontend & Landing Pages #18 / 109
Needs editing
#89 / 109
Weak
GLM 5.2
Sales #39 / 110
Usable
#108 / 110
Weak
GLM 5.2
Chef / Home Cooking #59 / 126
Usable
#124 / 126
Weak
GLM 5.2
Executive Assistant #43 / 112
Strong
#107 / 112
Usable
GLM 5.2
Creative & Comedy #46 / 110 #108 / 110 GLM 5.2
Presentations & Decks #25 / 110
Excellent
#83 / 110
Strong
GLM 5.2
Translation & Localization #28 / 110
Excellent
#82 / 110
Excellent
GLM 5.2
Product & Project Management #11 / 110
Excellent
#64 / 110
Strong
GLM 5.2
Data & Analytics #41 / 110
Excellent
#92 / 110
Excellent
GLM 5.2
Research & Competitive Analysis #50 / 110
Usable
#96 / 110
Needs editing
GLM 5.2
Legal & HR #36 / 110
Excellent
#81 / 110
Strong
GLM 5.2
Investor & Pitch #24 / 66
Strong
#66 / 66
Weak
GLM 5.2
Landing Pages #26 / 72
Strong
#68 / 72
Needs editing
GLM 5.2
Structured Output #25 / 113
Excellent
#33 / 113
Excellent
GLM 5.2

Rank = position among every model config we tested in that task area (lower is better). Sorted by biggest gap first.

Frequently asked

Is GLM 5.2 better than MiniMax M2.7?

Across 22 task areas we benchmarked, GLM 5.2 ranks higher in 22 and MiniMax M2.7 in 0.

Which is cheaper, GLM 5.2 or MiniMax M2.7?

MiniMax M2.7 costs 4.2× less per token ($0.9 vs $3.76 per 1M).

What is GLM 5.2 better at?

GLM 5.2 out-ranks MiniMax M2.7 at Summarization & Meeting Notes, Customer Support, RAG, Safety & Grounding.

Full GLM 5.2 review → Full MiniMax M2.7 review → Full model leaderboard →

More comparisons

This page is Spring Prompt, running in public

We just did this for every model. Do it for your prompt.

The rankings above come from running real tasks through real models and scoring every output. Spring Prompt is that same engine — pointed at your prompt, your test cases, and your definition of good.

  • Generate test cases from your prompt — no eval set required to start.
  • Compare models side by side with quality, cost and latency in one matrix.
  • Optimise the winner until the scores say it's ready to ship.
Experiment · Cold outreach email

Prompt × model results

12 test cases · 3 evals
Claude Opus
GPT-5
Gemini
v1
7.1
6.8
7.4
v2
8.3
7.9
8.0
v3
9.2
8.6
8.4
Best combo: v3 × Claude Opus
9.2 quality · $0.004/run · 1.8s