LLM Comparison

LongCat 2.0 vs Qwen3.7 Plus: benchmark scores, pricing & comparison.

Side-by-side LongCat 2.0 vs Qwen3.7 Plus 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 #21AskClash overall scores 63.3 vs 55.7.
Pricing $0.75/$2.95 vs $0.40/$1.60Input and output token prices per 1M tokens when published.
Open Weight vs ProprietaryMeituan vs Alibaba.

LongCat 2.0 vs Qwen3.7 Plus benchmark comparison

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

MetricLongCat 2.0Qwen3.7 Plus
Overall Score63.355.7
Leaderboard Rank#16#21
RWT7.5
HLE34.7
GPQA88.990.3
IFEval90.094.6
SWE-bench77.7
SWE-Pro59.557.6
Terminal-Bench70.870.3
OSWorld73.3
MCP Atlas73.2
Finance Agent38.2
CharXiv85.9
MMMU-Pro79.0
Tau288.293.0
MRCR91.7
Input Price (per 1M tokens)$0.75$0.40
Output Price (per 1M tokens)$2.95$1.60
Context Window1M1M
Benchmarks Published515

LongCat 2.0 vs Qwen3.7 Plus head-to-head charts

LongCat 2.0 leads 3 and Qwen3.7 Plus leads 3 of 6 shared benchmarks. Qwen3.7 Plus is cheaper on a defined 1M-input / 200K-output workload. Charts show only benchmarks both models publish.

LongCat 2.0Qwen3.7 Plus
Overall
63.3LongCat 2.0
55.7Qwen3.7 Plus
GPQA
88.9LongCat 2.0
90.3Qwen3.7 Plus
IFEval
90.0LongCat 2.0
94.6Qwen3.7 Plus
SWE-Pro
59.5LongCat 2.0
57.6Qwen3.7 Plus
Terminal-Bench
70.8LongCat 2.0
70.3Qwen3.7 Plus
Tau2
88.2LongCat 2.0
93.0Qwen3.7 Plus
LongCat 2.0
Input$0.75
Output$2.95
Workload$1.34
Context1M
Qwen3.7 Plus
Input$0.40
Output$1.60
Workload$0.72
Context1M

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

More LongCat 2.0 and Qwen3.7 Plus comparisons

Explore how LongCat 2.0 and Qwen3.7 Plus 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.