How do LongCat 2.0 and DeepSeek V4 Pro (Max) compare on coding benchmarks?

The comparison table shows SWE-bench, SWE-Pro, SWE-Atlas, Terminal-Bench, DeepSWE, and coding agent index scores for both LongCat 2.0 and DeepSeek V4 Pro (Max) when publicly disclosed.

LLM Comparison

LongCat 2.0 vs DeepSeek V4 Pro (Max): benchmark scores, pricing & comparison.

Q: Which is better: LongCat 2.0 or DeepSeek V4 Pro (Max)?

AskClash compares LongCat 2.0 and DeepSeek V4 Pro (Max) side by side across SWE-bench, GPQA, HLE, Terminal-Bench, coding agent scores, token pricing, and context window so you can see which model wins on each benchmark.

Side-by-side LongCat 2.0 vs DeepSeek V4 Pro (Max) 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 leaderboard LongCat 2.0 model page DeepSeek V4 Pro (Max) model page

Rank #15 vs #27AskClash overall scores 63.3 vs 48.7.

Pricing $0.75/$2.95 vs $0.43/$0.87Input and output token prices per 1M tokens when published.

Open Weight vs Open WeightMeituan vs DeepSeek.

LongCat 2.0 vs DeepSeek V4 Pro (Max) benchmark comparison

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

Metric	LongCat 2.0	DeepSeek V4 Pro (Max)
Overall Score	63.3	48.7
Leaderboard Rank	#15	#27
RWT	—	7.0
HLE	—	37.7
GPQA	88.9	90.1
MATH-500	—	64.5
IFEval	90.0	—
SWE-bench	—	80.6
SWE-Pro	59.5	55.4
Terminal-Bench	70.8	67.9
MCP Atlas	—	73.6
Tau2	88.2	96.2
MRCR	—	83.5
Input Price (per 1M tokens)	$0.75	$0.43
Output Price (per 1M tokens)	$2.95	$0.87
Context Window	1M	1M
Benchmarks Published	5	9

LongCat 2.0 vs DeepSeek V4 Pro (Max) head-to-head charts

LongCat 2.0 leads 3 and DeepSeek V4 Pro (Max) leads 2 of 5 shared benchmarks. DeepSeek V4 Pro (Max) is cheaper on a defined 1M-input / 200K-output workload. Charts show only benchmarks both models publish.

LongCat 2.0DeepSeek V4 Pro (Max)

Overall

63.3LongCat 2.0

48.7DeepSeek V4 Pro (Max)

GPQA

88.9LongCat 2.0

90.1DeepSeek V4 Pro (Max)

SWE-Pro

59.5LongCat 2.0

55.4DeepSeek V4 Pro (Max)

Terminal-Bench

70.8LongCat 2.0

67.9DeepSeek V4 Pro (Max)

Tau2

88.2LongCat 2.0

96.2DeepSeek V4 Pro (Max)

LongCat 2.0

Input$0.75

Output$2.95

Workload$1.34

Context1M

DeepSeek V4 Pro (Max)

Input$0.43

Output$0.87

Workload$0.61

Context1M

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

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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.