LLM Comparison

Qwen3.8 Max 0902 vs LongCat 2.0: benchmark scores, pricing & comparison.

Side-by-side Qwen3.8 Max 0902 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 leaderboardQwen3.8 Max 0902 model pageLongCat 2.0 model page
Rank #9 vs #40AskClash overall scores 70.0 vs 31.7.
Pricing $2.00/$6.00 vs $0.75/$2.95Input and output token prices per 1M tokens when published.
Proprietary vs Open WeightAlibaba vs Meituan.

Qwen3.8 Max 0902 vs LongCat 2.0 benchmark comparison

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

MetricQwen3.8 Max 0902LongCat 2.0
Overall Score70.031.7
Leaderboard Rank#9#40
ACB59.0—
HLE43.6—
GPQA92.688.9
IFEval82.890.0
SWE-Pro67.759.5
SWE-Atlas66.3—
Terminal-Bench86.670.8
DeepSWE69.3—
OSWorld86.1—
CharXiv88.4—
MMMU-Pro82.7—
Tau2—88.2
MRCR92.9—
Input Price (per 1M tokens)$2.00$0.75
Output Price (per 1M tokens)$6.00$2.95
Context Window1M1M
Benchmarks Published125

Qwen3.8 Max 0902 vs LongCat 2.0 head-to-head charts

Qwen3.8 Max 0902 leads 4 and LongCat 2.0 leads 1 of 5 shared benchmarks. LongCat 2.0 is cheaper on a defined 1M-input / 200K-output workload. Charts show only benchmarks both models publish.

Qwen3.8 Max 0902LongCat 2.0
Overall
70.0Qwen3.8 Max 0902
31.7LongCat 2.0
GPQA
92.6Qwen3.8 Max 0902
88.9LongCat 2.0
IFEval
82.8Qwen3.8 Max 0902
90.0LongCat 2.0
SWE-Pro
67.7Qwen3.8 Max 0902
59.5LongCat 2.0
Terminal-Bench
86.6Qwen3.8 Max 0902
70.8LongCat 2.0
Qwen3.8 Max 0902
Input$2.00
Output$6.00
Workload$3.20
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 Qwen3.8 Max 0902 and LongCat 2.0 comparisons

Explore how Qwen3.8 Max 0902 and LongCat 2.0 stack up against other top-ranked LLMs.

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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.