LLM Comparison

LongCat 2.0 vs Gemini 3.6 Flash: benchmark scores, pricing & comparison.

Side-by-side LongCat 2.0 vs Gemini 3.6 Flash 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 #17AskClash overall scores 63.4 vs 62.9.
Pricing $0.75/$2.95 vs $1.50/$7.50Input and output token prices per 1M tokens when published.
Open Weight vs ProprietaryMeituan vs Google.

LongCat 2.0 vs Gemini 3.6 Flash benchmark comparison

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

MetricLongCat 2.0Gemini 3.6 Flash
Overall Score63.462.9
Leaderboard Rank#16#17
HLE38.0
GPQA88.992.8
IFEval90.0
SWE-Pro59.558.7
Terminal-Bench70.878.0
DeepSWE49.0
OSWorld83.0
CharXiv85.2
MMMU-Pro83.2
Tau288.2
MRCR91.8
Input Price (per 1M tokens)$0.75$1.50
Output Price (per 1M tokens)$2.95$7.50
Context Window1M1M
Benchmarks Published511

LongCat 2.0 vs Gemini 3.6 Flash head-to-head charts

LongCat 2.0 leads 2 and Gemini 3.6 Flash leads 2 of 4 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 3.6 Flash
Overall
63.4LongCat 2.0
62.9Gemini 3.6 Flash
GPQA
88.9LongCat 2.0
92.8Gemini 3.6 Flash
SWE-Pro
59.5LongCat 2.0
58.7Gemini 3.6 Flash
Terminal-Bench
70.8LongCat 2.0
78.0Gemini 3.6 Flash
LongCat 2.0
Input$0.75
Output$2.95
Workload$1.34
Context1M
Gemini 3.6 Flash
Input$1.50
Output$7.50
Workload$3.00
Context1M

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

More LongCat 2.0 and Gemini 3.6 Flash comparisons

Explore how LongCat 2.0 and Gemini 3.6 Flash 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.