LLM Comparison

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

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

Rank #6 vs #7AskClash overall scores 75.3 vs 71.8.
Pricing $3.00/$15.0 vs $0.15/$0.50Input and output token prices per 1M tokens when published.
Open Weight vs Open WeightMoonshot AI vs Z.AI.

Kimi K3 vs GLM-5.3-Flash benchmark comparison

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

MetricKimi K3GLM-5.3-Flash
Overall Score75.371.8
Leaderboard Rank#6#7
ACB57.761.2
RWT8.08.5
HLE43.555.3
GPQA93.591.2
Terminal-Bench88.384.3
DeepSWE68.563.4
GDPval-AA1668.01773.0
MCP Atlas84.2
Finance Agent54.4
CharXiv84.889.4
MMMU-Pro81.6
Input Price (per 1M tokens)$3.00$0.15
Output Price (per 1M tokens)$15.0$0.50
Context Window1M1M
Benchmarks Published118

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

Kimi K3 leads 4 and GLM-5.3-Flash leads 5 of 9 shared benchmarks. GLM-5.3-Flash is cheaper on a defined 1M-input / 200K-output workload. Charts show only benchmarks both models publish.

Kimi K3GLM-5.3-Flash
Overall
75.3Kimi K3
71.8GLM-5.3-Flash
ACB
57.7Kimi K3
61.2GLM-5.3-Flash
RWT
8.0Kimi K3
8.5GLM-5.3-Flash
HLE
43.5Kimi K3
55.3GLM-5.3-Flash
GPQA
93.5Kimi K3
91.2GLM-5.3-Flash
Terminal-Bench
88.3Kimi K3
84.3GLM-5.3-Flash
DeepSWE
68.5Kimi K3
63.4GLM-5.3-Flash
GDPval-AA
1668.0Kimi K3
1773.0GLM-5.3-Flash
CharXiv
84.8Kimi K3
89.4GLM-5.3-Flash
Kimi K3
Input$3.00
Output$15.0
Workload$6.00
Context1M
GLM-5.3-Flash
Input$0.15
Output$0.50
Workload$0.25
Context1M

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

More Kimi K3 and GLM-5.3-Flash comparisons

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

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.