LLM Comparison

Kimi K3 vs LongCat 2.0: benchmark scores, pricing & comparison.

Side-by-side Kimi K3 vs LongCat 2.0 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.

Open live leaderboardKimi K3 model pageLongCat 2.0 model page
Rank #3 vs #16AskClash overall scores 82.3 vs 63.0.
Pricing $3.00/$15.0 vs $0.75/$2.95Input and output token prices per 1M tokens when published.
Open Weight vs Open WeightMoonshot AI vs Meituan.

Kimi K3 vs LongCat 2.0 benchmark comparison

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

MetricKimi K3LongCat 2.0
Overall Score82.363.0
Leaderboard Rank#3#16
HLE43.5—
GPQA93.588.9
IFEval—90.0
SWE-Pro—59.5
Terminal-Bench88.370.8
DeepSWE67.5—
MCP Atlas84.2—
CharXiv84.8—
MMMU-Pro81.6—
Tau2—88.2
Input Price (per 1M tokens)$3.00$0.75
Output Price (per 1M tokens)$15.0$2.95
Context Window1M1M
Benchmarks Published95

Kimi K3 vs LongCat 2.0 head-to-head charts

Kimi K3 leads 3 and LongCat 2.0 leads 0 of 3 shared benchmarks. LongCat 2.0 is cheaper on a defined 1M-input / 200K-output workload. Charts show only benchmarks both models publish.

Kimi K3LongCat 2.0
Overall
82.3Kimi K3
63.0LongCat 2.0
GPQA
93.5Kimi K3
88.9LongCat 2.0
Terminal-Bench
88.3Kimi K3
70.8LongCat 2.0
Kimi K3
Input$3.00
Output$15.0
Workload$6.00
Context1M
LongCat 2.0
Input$0.75
Output$2.95
Workload$1.34
Context1M

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

More Kimi K3 and LongCat 2.0 comparisons

Explore how Kimi K3 and LongCat 2.0 stack up against other top-ranked LLMs.

Claude Fable 5 vs Kimi K3Claude Fable 5 vs LongCat 2.0GPT-5.6 Sol vs Kimi K3GPT-5.6 Sol vs LongCat 2.0Kimi K3 vs Claude Opus 4.8Claude Opus 4.8 vs LongCat 2.0Kimi K3 vs Grok 4.5Grok 4.5 vs LongCat 2.0Kimi K3 vs Muse Spark 1.1Muse Spark 1.1 vs LongCat 2.0

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.