LLM Comparison

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

Side-by-side LongCat 2.0 vs Gemini 3.1 Pro 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 #16 vs #24AskClash overall scores 63.3 vs 51.9.
Pricing $0.75/$2.95 vs $2.00/$12.0Input and output token prices per 1M tokens when published.
Open Weight vs ProprietaryMeituan vs Google.

LongCat 2.0 vs Gemini 3.1 Pro benchmark comparison

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

MetricLongCat 2.0Gemini 3.1 Pro
Overall Score63.351.9
Leaderboard Rank#16#24
Coding Agent Index42.7
HLE51.4
GPQA88.994.3
IFEval90.0
SWE-bench80.6
SWE-Pro59.554.2
Terminal-Bench70.868.5
DeepSWE11.8
MCP Atlas69.2
Finance Agent43.0
CharXiv80.2
MMMU-Pro83.9
ARC-AGI 277.1
Tau288.299.3
MRCR84.9
Input Price (per 1M tokens)$0.75$2.00
Output Price (per 1M tokens)$2.95$12.0
Context Window1M1M
Benchmarks Published516

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

LongCat 2.0 leads 3 and Gemini 3.1 Pro 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.

LongCat 2.0Gemini 3.1 Pro
Overall
63.3LongCat 2.0
51.9Gemini 3.1 Pro
GPQA
88.9LongCat 2.0
94.3Gemini 3.1 Pro
SWE-Pro
59.5LongCat 2.0
54.2Gemini 3.1 Pro
Terminal-Bench
70.8LongCat 2.0
68.5Gemini 3.1 Pro
Tau2
88.2LongCat 2.0
99.3Gemini 3.1 Pro
LongCat 2.0
Input$0.75
Output$2.95
Workload$1.34
Context1M
Gemini 3.1 Pro
Input$2.00
Output$12.0
Workload$4.40
Context1M

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

More LongCat 2.0 and Gemini 3.1 Pro comparisons

Explore how LongCat 2.0 and Gemini 3.1 Pro 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.