LLM Comparison

Kimi K3 vs GLM 5.1 Thinking: benchmark scores, pricing & comparison.

Side-by-side Kimi K3 vs GLM 5.1 Thinking 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 #5 vs #25AskClash overall scores 76.4 vs 50.5.
Pricing $3.00/$15.0 vs $0/$0Input and output token prices per 1M tokens when published.
Open Weight vs ProprietaryMoonshot AI vs Zhipu AI.

Kimi K3 vs GLM 5.1 Thinking benchmark comparison

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

MetricKimi K3GLM 5.1 Thinking
Overall Score76.450.5
Leaderboard Rank#5#25
RWT8.0
Coding Agent Index36.1
HLE43.552.3
GPQA93.586.2
SWE-Pro58.4
Terminal-Bench88.363.5
DeepSWE68.5
MCP Atlas84.271.8
Finance Agent54.444.8
CharXiv84.8
MMMU-Pro81.6
Tau297.7
Input Price (per 1M tokens)$3.00$0
Output Price (per 1M tokens)$15.0$0
Context Window1M203K
Benchmarks Published119

Kimi K3 vs GLM 5.1 Thinking head-to-head charts

Kimi K3 leads 5 and GLM 5.1 Thinking leads 1 of 6 shared benchmarks. GLM 5.1 Thinking is cheaper on a defined 1M-input / 200K-output workload. Charts show only benchmarks both models publish.

Kimi K3GLM 5.1 Thinking
Overall
76.4Kimi K3
50.5GLM 5.1 Thinking
HLE
43.5Kimi K3
52.3GLM 5.1 Thinking
GPQA
93.5Kimi K3
86.2GLM 5.1 Thinking
Terminal-Bench
88.3Kimi K3
63.5GLM 5.1 Thinking
MCP Atlas
84.2Kimi K3
71.8GLM 5.1 Thinking
Finance Agent
54.4Kimi K3
44.8GLM 5.1 Thinking
Kimi K3
Input$3.00
Output$15.0
Workload$6.00
Context1M
GLM 5.1 Thinking
Input$0
Output$0
Workload$0.00
Context203K

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

More Kimi K3 and GLM 5.1 Thinking comparisons

Explore how Kimi K3 and GLM 5.1 Thinking 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.