LLM Comparison

Gemini 3.1 Pro vs LongCat 2.0: benchmark scores, pricing & comparison.

Side-by-side Gemini 3.1 Pro 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.

Rank #29 vs #32AskClash overall scores 37.5 vs 34.1.
Pricing $2.00/$12.0 vs $0.75/$2.95Input and output token prices per 1M tokens when published.
Proprietary vs Open WeightGoogle vs Meituan.

Gemini 3.1 Pro vs LongCat 2.0 benchmark comparison

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

MetricGemini 3.1 ProLongCat 2.0
Overall Score37.534.1
Leaderboard Rank#29#32
Coding Agent Index32.9
HLE51.4
GPQA94.388.9
IFEval90.0
SWE-bench80.6
SWE-Pro54.259.5
Terminal-Bench68.570.8
DeepSWE11.7
GDPval-AA1317.0
MCP Atlas69.2
Finance Agent43.0
CharXiv80.2
MMMU-Pro83.9
ARC-AGI 277.1
Tau299.388.2
MRCR84.9
Input Price (per 1M tokens)$2.00$0.75
Output Price (per 1M tokens)$12.0$2.95
Context Window1M1M
Benchmarks Published165

Gemini 3.1 Pro vs LongCat 2.0 head-to-head charts

Gemini 3.1 Pro leads 3 and LongCat 2.0 leads 2 of 5 shared benchmarks. LongCat 2.0 is cheaper on a defined 1M-input / 200K-output workload. Charts show only benchmarks both models publish.

Gemini 3.1 ProLongCat 2.0
Overall
37.5Gemini 3.1 Pro
34.1LongCat 2.0
GPQA
94.3Gemini 3.1 Pro
88.9LongCat 2.0
SWE-Pro
54.2Gemini 3.1 Pro
59.5LongCat 2.0
Terminal-Bench
68.5Gemini 3.1 Pro
70.8LongCat 2.0
Tau2
99.3Gemini 3.1 Pro
88.2LongCat 2.0
Gemini 3.1 Pro
Input$2.00
Output$12.0
Workload$4.40
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 Gemini 3.1 Pro and LongCat 2.0 comparisons

Explore how Gemini 3.1 Pro and LongCat 2.0 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.