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Z.ai GLM 5.2 VS MoonshotAI Kimi K2.7 Code

GLM 5.2 vs Kimi K2.7 Code: 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.

Kimi K2.7 Code wins 12 of 22 task areas we tested; GLM 5.2 takes 10. GLM 5.2 costs 1.1× less per token ($3.76 vs $4.24 per 1M).

10
Task areas won
12
74
Avg percentile
73
0
Top-3 finishes
0
$3.76
Price / 1M tokens
$4.24
Z.ai
Provider
MoonshotAI

GLM 5.2 costs 1.1× less per token ($3.76 vs $4.24 per 1M).

Task by task

Task area GLM 5.2 Kimi K2.7 Code Winner
Summarization & Meeting Notes #9 / 110
Excellent
#47 / 110
Excellent
GLM 5.2
Executive Assistant #43 / 112
Strong
#6 / 112
Strong
Kimi K2.7 Code
Frontend & Landing Pages #18 / 109
Needs editing
#54 / 109
Needs editing
GLM 5.2
Research & Competitive Analysis #50 / 110
Usable
#20 / 110
Excellent
Kimi K2.7 Code
Content & Brand #19 / 124
Strong
#48 / 124
Strong
GLM 5.2
Legal & HR #36 / 110
Excellent
#14 / 110
Excellent
Kimi K2.7 Code
Structured Output #25 / 113
Excellent
#46 / 113
Excellent
GLM 5.2
Presentations & Decks #25 / 110
Excellent
#5 / 110
Excellent
Kimi K2.7 Code
Translation & Localization #28 / 110
Excellent
#48 / 110
Excellent
GLM 5.2
Coding #23 / 115
Strong
#41 / 115
Strong
GLM 5.2
RAG, Safety & Grounding #6 / 113
Excellent
#21 / 113
Excellent
GLM 5.2
AI Strategy #34 / 126
Strong
#44 / 126
Strong
GLM 5.2
Data & Analytics #41 / 110
Excellent
#31 / 110
Excellent
Kimi K2.7 Code
Training & Education #29 / 110
Excellent
#39 / 110
Excellent
GLM 5.2
Investor & Pitch #24 / 66
Strong
#15 / 66
Strong
Kimi K2.7 Code
Landing Pages #26 / 72
Strong
#17 / 72
Strong
Kimi K2.7 Code
Sales #39 / 110
Usable
#48 / 110
Usable
GLM 5.2
Customer Support #16 / 113
Strong
#10 / 113
Strong
Kimi K2.7 Code
Knowledge & Docs #21 / 110
Strong
#16 / 110
Excellent
Kimi K2.7 Code
Creative & Comedy #46 / 110 #44 / 110 Kimi K2.7 Code
Chef / Home Cooking #59 / 126
Usable
#58 / 126
Usable
Kimi K2.7 Code
Product & Project Management #11 / 110
Excellent
#10 / 110
Excellent
Kimi K2.7 Code

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 Kimi K2.7 Code?

Across 22 task areas we benchmarked, Kimi K2.7 Code ranks higher in 12 and GLM 5.2 in 10.

Which is cheaper, GLM 5.2 or Kimi K2.7 Code?

GLM 5.2 costs 1.1× less per token ($3.76 vs $4.24 per 1M).

What is GLM 5.2 better at?

GLM 5.2 out-ranks Kimi K2.7 Code at Summarization & Meeting Notes, Frontend & Landing Pages, Content & Brand.

What is Kimi K2.7 Code better at?

Kimi K2.7 Code out-ranks GLM 5.2 at Executive Assistant, Research & Competitive Analysis, Legal & HR.

Full GLM 5.2 review → Full Kimi K2.7 Code 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.
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  • 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