LLM Comparison

Kimi K2.7 vs GLM-5.2: benchmark scores, pricing & comparison.

Side-by-side Kimi K2.7 vs GLM-5.2 comparison across SWE-bench, GPQA, HLE, Terminal-Bench, coding agent scores, token pricing, context window, and AskClash RWT. Green marks the winner on each benchmark.

Open live leaderboardKimi K2.7 model pageGLM-5.2 model page
Rank #30 vs #31AskClash overall scores 35.0 vs 33.1.
Pricing $0.95/$4.00 vs $1.40/$4.40Input and output token prices per 1M tokens when published.
Open Weight vs Open WeightMoonshot AI vs Z.AI.

Kimi K2.7 vs GLM-5.2 benchmark comparison

Green cells highlight the winning model for each metric. Scores are cached from the AskClash LLM leaderboard snapshot.

MetricKimi K2.7GLM-5.2
Overall Score35.033.1
Leaderboard Rank#30#31
ACB43.0—
RWT7.58.5
Coding Agent Index—74.4
HLE—54.7
GPQA—91.2
IFEval—73.3
SWE-Pro—62.1
SWE-Atlas—74.4
Terminal-Bench—82.7
DeepSWE30.543.8
MCP Atlas76.076.8
Finance Agent—49.7
Tau290.199.1
Input Price (per 1M tokens)$0.95$1.40
Output Price (per 1M tokens)$4.00$4.40
Context Window256K1M
Benchmarks Published512

Kimi K2.7 vs GLM-5.2 head-to-head charts

Kimi K2.7 leads 1 and GLM-5.2 leads 4 of 5 shared benchmarks. Kimi K2.7 is cheaper on a defined 1M-input / 200K-output workload. Charts show only benchmarks both models publish.

Kimi K2.7GLM-5.2
Overall
35.0Kimi K2.7
33.1GLM-5.2
RWT
7.5Kimi K2.7
8.5GLM-5.2
DeepSWE
30.5Kimi K2.7
43.8GLM-5.2
MCP Atlas
76.0Kimi K2.7
76.8GLM-5.2
Tau2
90.1Kimi K2.7
99.1GLM-5.2
Kimi K2.7
Input$0.95
Output$4.00
Workload$1.75
Context256K
GLM-5.2
Input$1.40
Output$4.40
Workload$2.28
Context1M

Workload = published cost of 1M input + 200K output tokens. Open the live leaderboard for interactive compare charts.

More Kimi K2.7 and GLM-5.2 comparisons

Explore how Kimi K2.7 and GLM-5.2 stack up against other top-ranked LLMs.

Claude Fable 5.1 vs Kimi K2.7Claude Fable 5.1 vs GLM-5.2Claude Fable 5 vs Kimi K2.7Claude Fable 5 vs GLM-5.2GPT-5.6 Sol vs Kimi K2.7GPT-5.6 Sol vs GLM-5.2Claude Opus 5 vs Kimi K2.7Claude Opus 5 vs GLM-5.2Grok 4.6 vs Kimi K2.7Grok 4.6 vs GLM-5.2

How to read this comparison

Benchmark scores

Higher is better for all benchmark scores (SWE-bench, GPQA, HLE, Terminal-Bench, etc.). Green marks the model with the higher score.

Token pricing

Lower is better for input and output prices. Green marks the cheaper model per 1M tokens.

Coverage matters

Models with fewer disclosed benchmark cells may have inflated percentile scores. Check the benchmark cell count for context.

This comparison page is generated from the AskClash LLM leaderboard cache. Open the live leaderboard for real-time scores and interactive filtering.