Which is better: GLM-5.3 or Kimi K3?

Verdict: GLM-5.3 ranks higher (#14 vs #15) and wins 6 of 8 shared benchmarks; GLM-5.3 costs less ($1.40/$4.40 vs $3.00/$15.0 per 1M tokens). AskClash compares GLM-5.3 and Kimi K3 side by side across SWE-bench, GPQA, HLE, Terminal-Bench, coding agent scores, token pricing, AskClash ACB, and context window so you can see which model wins on each benchmark.

How do GLM-5.3 and Kimi K3 compare on coding benchmarks?

The comparison table shows SWE-bench, SWE-Pro, SWE-Atlas, Terminal-Bench, DeepSWE, and coding agent index scores for both GLM-5.3 and Kimi K3 when publicly disclosed.

LLM Comparison

GLM-5.3 vs Kimi K3: benchmark scores, pricing & comparison.

Side-by-side GLM-5.3 vs Kimi K3 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.

Verdict: GLM-5.3 ranks higher (#14 vs #15) and wins 6 of 8 shared benchmarks; GLM-5.3 costs less ($1.40/$4.40 vs $3.00/$15.0 per 1M tokens).

Open live leaderboard GLM-5.3 model page Kimi K3 model page

Rank #14 vs #15AskClash overall scores 65.9 vs 65.8.

Pricing $1.40/$4.40 vs $3.00/$15.0Input and output token prices per 1M tokens when published.

Open Weight vs Open WeightZ.AI vs Moonshot AI.

GLM-5.3 vs Kimi K3 benchmark comparison

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

Metric	GLM-5.3	Kimi K3
Overall Score	65.9	65.8
Leaderboard Rank	#14	#15
ACB	62.2	57.7
RWT	8.5	8.0
Coding Agent Index	—	51.9
HLE	62.5	43.5
GPQA	91.7	93.5
SWE-Atlas	—	66.1
Terminal-Bench	88.2	88.3
DeepSWE	69.0	68.5
GDPval-AA	1769.0	1668.0
MCP Atlas	—	84.2
Finance Agent	55.8	54.4
CharXiv	—	84.8
MMMU-Pro	—	81.6
ARC-AGI 2	—	60.4
Input Price (per 1M tokens)	$1.40	$3.00
Output Price (per 1M tokens)	$4.40	$15.0
Context Window	1M	1M
Benchmarks Published	10	16

GLM-5.3 vs Kimi K3 head-to-head charts

GLM-5.3 leads 7 and Kimi K3 leads 2 of 9 shared benchmarks. GLM-5.3 is cheaper on a defined 1M-input / 200K-output workload. Charts show only benchmarks both models publish.

GLM-5.3Kimi K3

Overall

65.9GLM-5.3

65.8Kimi K3

ACB

62.2GLM-5.3

57.7Kimi K3

RWT

8.5GLM-5.3

8.0Kimi K3

HLE

62.5GLM-5.3

43.5Kimi K3

GPQA

91.7GLM-5.3

93.5Kimi K3

Terminal-Bench

88.2GLM-5.3

88.3Kimi K3

DeepSWE

69.0GLM-5.3

68.5Kimi K3

GDPval-AA

1769.0GLM-5.3

1668.0Kimi K3

Finance Agent

55.8GLM-5.3

54.4Kimi K3

GLM-5.3

Input$1.40

Output$4.40

Workload$2.28

Context1M

Kimi K3

Input$3.00

Output$15.0

Workload$6.00

Context1M

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

More GLM-5.3 and Kimi K3 comparisons

Explore how GLM-5.3 and Kimi K3 stack up against other top-ranked LLMs.

Claude Fable 5.1 vs GLM-5.3 Claude Fable 5.1 vs Kimi K3 Claude Opus 5.5 vs GLM-5.3 Claude Opus 5.5 vs Kimi K3 Claude Fable 5 vs GLM-5.3 Claude Fable 5 vs Kimi K3 Claude Opus 5 vs GLM-5.3 Claude Opus 5 vs Kimi K3 GPT-5.6 Sol vs GLM-5.3 GPT-5.6 Sol vs Kimi K3

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.