LLM Comparison

GPT-5.5 vs Kimi K3: benchmark scores, pricing & comparison.

Side-by-side GPT-5.5 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.

Rank #11 vs #15AskClash overall scores 64.9 vs 64.0.
Pricing $5.00/$30.0 vs $3.00/$15.0Input and output token prices per 1M tokens when published.
Proprietary vs Open WeightOpenAI vs Moonshot AI.

GPT-5.5 vs Kimi K3 benchmark comparison

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

MetricGPT-5.5Kimi K3
Overall Score64.964.0
Leaderboard Rank#11#15
ACB62.057.7
RWT8.08.0
Coding Agent Index51.9
HLE52.243.5
GPQA93.693.5
IFEval75.9
SWE-Pro58.6
SWE-Atlas66.1
Terminal-Bench82.788.3
DeepSWE67.068.5
GDPval-AA1395.81668.0
OSWorld78.7
MCP Atlas75.384.2
Finance Agent51.854.4
CharXiv84.8
MMMU-Pro81.281.6
ARC-AGI 285.0
Tau298.0
Input Price (per 1M tokens)$5.00$3.00
Output Price (per 1M tokens)$30.0$15.0
Context Window1M1M
Benchmarks Published1513

GPT-5.5 vs Kimi K3 head-to-head charts

GPT-5.5 leads 4 and Kimi K3 leads 6 of 11 shared benchmarks. Kimi K3 is cheaper on a defined 1M-input / 200K-output workload. Charts show only benchmarks both models publish.

GPT-5.5Kimi K3
Overall
64.9GPT-5.5
64.0Kimi K3
ACB
62.0GPT-5.5
57.7Kimi K3
RWT
8.0GPT-5.5
8.0Kimi K3
HLE
52.2GPT-5.5
43.5Kimi K3
GPQA
93.6GPT-5.5
93.5Kimi K3
Terminal-Bench
82.7GPT-5.5
88.3Kimi K3
DeepSWE
67.0GPT-5.5
68.5Kimi K3
GDPval-AA
1395.8GPT-5.5
1668.0Kimi K3
MCP Atlas
75.3GPT-5.5
84.2Kimi K3
Finance Agent
51.8GPT-5.5
54.4Kimi K3
MMMU-Pro
81.2GPT-5.5
81.6Kimi K3
GPT-5.5
Input$5.00
Output$30.0
Workload$11
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 GPT-5.5 and Kimi K3 comparisons

Explore how GPT-5.5 and Kimi K3 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.