LLM Comparison

GLM-5.3-Flash vs Kimi K2.7: benchmark scores, pricing & comparison.

Side-by-side GLM-5.3-Flash vs Kimi K2.7 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 leaderboardGLM-5.3-Flash model pageKimi K2.7 model page
Rank #7 vs #27AskClash overall scores 71.8 vs 44.4.
Pricing $0.15/$0.50 vs $0.95/$4.00Input and output token prices per 1M tokens when published.
Open Weight vs Open WeightZ.AI vs Moonshot AI.

GLM-5.3-Flash vs Kimi K2.7 benchmark comparison

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

MetricGLM-5.3-FlashKimi K2.7
Overall Score71.844.4
Leaderboard Rank#7#27
ACB61.243.0
RWT8.57.5
HLE55.354.0
GPQA91.290.5
SWE-bench—80.2
SWE-Pro—58.6
Terminal-Bench84.366.7
DeepSWE63.430.5
GDPval-AA1773.0—
OSWorld—73.1
MCP Atlas—76.0
Finance Agent—44.9
CharXiv89.480.4
MMMU-Pro—79.4
Tau2—90.1
Input Price (per 1M tokens)$0.15$0.95
Output Price (per 1M tokens)$0.50$4.00
Context Window1M256K
Benchmarks Published814

GLM-5.3-Flash vs Kimi K2.7 head-to-head charts

GLM-5.3-Flash leads 8 and Kimi K2.7 leads 0 of 8 shared benchmarks. GLM-5.3-Flash is cheaper on a defined 1M-input / 200K-output workload. Charts show only benchmarks both models publish.

GLM-5.3-FlashKimi K2.7
Overall
71.8GLM-5.3-Flash
44.4Kimi K2.7
ACB
61.2GLM-5.3-Flash
43.0Kimi K2.7
RWT
8.5GLM-5.3-Flash
7.5Kimi K2.7
HLE
55.3GLM-5.3-Flash
54.0Kimi K2.7
GPQA
91.2GLM-5.3-Flash
90.5Kimi K2.7
Terminal-Bench
84.3GLM-5.3-Flash
66.7Kimi K2.7
DeepSWE
63.4GLM-5.3-Flash
30.5Kimi K2.7
CharXiv
89.4GLM-5.3-Flash
80.4Kimi K2.7
GLM-5.3-Flash
Input$0.15
Output$0.50
Workload$0.25
Context1M
Kimi K2.7
Input$0.95
Output$4.00
Workload$1.75
Context256K

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

More GLM-5.3-Flash and Kimi K2.7 comparisons

Explore how GLM-5.3-Flash and Kimi K2.7 stack up against other top-ranked LLMs.

Claude Opus 5 vs GLM-5.3-FlashClaude Opus 5 vs Kimi K2.7Claude Fable 5 vs GLM-5.3-FlashClaude Fable 5 vs Kimi K2.7GLM-5.3 vs GLM-5.3-FlashGLM-5.3 vs Kimi K2.7Grok 4.6 vs GLM-5.3-FlashGrok 4.6 vs Kimi K2.7GPT-5.6 Sol vs GLM-5.3-FlashGPT-5.6 Sol vs Kimi K2.7

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.