LLM Comparison

Kimi K3.1 Pro vs Grok 4.5: benchmark scores, pricing & comparison.

Side-by-side Kimi K3.1 Pro vs Grok 4.5 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: Kimi K3.1 Pro ranks higher (#4 vs #88) and wins 6 of 6 shared benchmarks; Grok 4.5 costs less ($2.00/$6.00 vs $2.00/$10.0 per 1M tokens).

Rank #4 vs #88AskClash overall scores 75.5 vs 52.2.
Pricing $2.00/$10.0 vs $2.00/$6.00Input and output token prices per 1M tokens when published.
Open Weight vs ProprietaryMoonshot AI vs xAI.

Kimi K3.1 Pro vs Grok 4.5 benchmark comparison

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

MetricKimi K3.1 ProGrok 4.5
Overall Score75.552.2
Leaderboard Rank#4#88
ACB—57.6
RWT—9.0
Coding Agent Index—76.4
HLE70.040.3
GPQA94.293.1
SWE-Pro—64.7
SWE-Atlas—83.9
Terminal-Bench65.710.6
DeepSWE75.5—
GDPval-AA1846.01542.8
Finance Agent58.648.3
CharXiv89.0—
MMMU-Pro84.180.4
Input Price (per 1M tokens)$2.00$2.00
Output Price (per 1M tokens)$10.0$6.00
Context Window1M500K
Benchmarks Published913

Kimi K3.1 Pro vs Grok 4.5 head-to-head charts

Kimi K3.1 Pro leads 7 and Grok 4.5 leads 0 of 7 shared benchmarks. Grok 4.5 is cheaper on a defined 1M-input / 200K-output workload. Charts show only benchmarks both models publish.

Kimi K3.1 ProGrok 4.5
Overall
75.5Kimi K3.1 Pro
52.2Grok 4.5
HLE
70.0Kimi K3.1 Pro
40.3Grok 4.5
GPQA
94.2Kimi K3.1 Pro
93.1Grok 4.5
Terminal-Bench
65.7Kimi K3.1 Pro
10.6Grok 4.5
GDPval-AA
1846.0Kimi K3.1 Pro
1542.8Grok 4.5
Finance Agent
58.6Kimi K3.1 Pro
48.3Grok 4.5
MMMU-Pro
84.1Kimi K3.1 Pro
80.4Grok 4.5
Kimi K3.1 Pro
Input$2.00
Output$10.0
Workload$4.00
Context1M
Grok 4.5
Input$2.00
Output$6.00
Workload$3.20
Context500K

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

More Kimi K3.1 Pro and Grok 4.5 comparisons

Explore how Kimi K3.1 Pro and Grok 4.5 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.