LLM Comparison

Grok 4.5 vs LongCat 2.0: benchmark scores, pricing & comparison.

Side-by-side Grok 4.5 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 leaderboardGrok 4.5 model pageLongCat 2.0 model page
Rank #5 vs #16AskClash overall scores 78.7 vs 63.3.
Pricing $2.00/$6.00 vs $0.75/$2.95Input and output token prices per 1M tokens when published.
Proprietary vs Open WeightxAI vs Meituan.

Grok 4.5 vs LongCat 2.0 benchmark comparison

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

MetricGrok 4.5LongCat 2.0
Overall Score78.763.3
Leaderboard Rank#5#16
RWT9.0—
Coding Agent Index76.4—
HLE40.3—
GPQA93.188.9
IFEval—90.0
SWE-Pro64.759.5
SWE-Atlas83.9—
Terminal-Bench83.370.8
MMMU-Pro80.4—
Tau2—88.2
Input Price (per 1M tokens)$2.00$0.75
Output Price (per 1M tokens)$6.00$2.95
Context Window500K1M
Benchmarks Published95

Grok 4.5 vs LongCat 2.0 head-to-head charts

Grok 4.5 leads 4 and LongCat 2.0 leads 0 of 4 shared benchmarks. LongCat 2.0 is cheaper on a defined 1M-input / 200K-output workload. Charts show only benchmarks both models publish.

Grok 4.5LongCat 2.0
Overall
78.7Grok 4.5
63.3LongCat 2.0
GPQA
93.1Grok 4.5
88.9LongCat 2.0
SWE-Pro
64.7Grok 4.5
59.5LongCat 2.0
Terminal-Bench
83.3Grok 4.5
70.8LongCat 2.0
Grok 4.5
Input$2.00
Output$6.00
Workload$3.20
Context500K
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 Grok 4.5 and LongCat 2.0 comparisons

Explore how Grok 4.5 and LongCat 2.0 stack up against other top-ranked LLMs.

Claude Fable 5 vs Grok 4.5Claude Fable 5 vs LongCat 2.0GPT-5.6 Sol vs Grok 4.5GPT-5.6 Sol vs LongCat 2.0Kimi K3 vs Grok 4.5Kimi K3 vs LongCat 2.0Claude Opus 4.8 vs Grok 4.5Claude Opus 4.8 vs LongCat 2.0Grok 4.5 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.