LLM Comparison

LongCat 2.0 vs SWE-1.7: benchmark scores, pricing & comparison.

Side-by-side LongCat 2.0 vs SWE-1.7 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 #46AskClash overall scores 63.3 vs 26.4.
Pricing $0.75/$2.95 vs $0/$0Input and output token prices per 1M tokens when published.
Open Weight vs ProprietaryMeituan vs Cognition.

LongCat 2.0 vs SWE-1.7 benchmark comparison

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

MetricLongCat 2.0SWE-1.7
Overall Score63.326.4
Leaderboard Rank#16#46
RWT8.5
GPQA88.9
IFEval90.0
SWE-Pro59.5
Terminal-Bench70.881.5
Tau288.2
Input Price (per 1M tokens)$0.75$0
Output Price (per 1M tokens)$2.95$0
Context Window1M256K
Benchmarks Published51

LongCat 2.0 vs SWE-1.7 head-to-head charts

LongCat 2.0 leads 1 and SWE-1.7 leads 1 of 2 shared benchmarks. SWE-1.7 is cheaper on a defined 1M-input / 200K-output workload. Charts show only benchmarks both models publish.

LongCat 2.0SWE-1.7
Overall
63.3LongCat 2.0
26.4SWE-1.7
Terminal-Bench
70.8LongCat 2.0
81.5SWE-1.7
LongCat 2.0
Input$0.75
Output$2.95
Workload$1.34
Context1M
SWE-1.7
Input$0
Output$0
Workload$0.00
Context256K

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

More LongCat 2.0 and SWE-1.7 comparisons

Explore how LongCat 2.0 and SWE-1.7 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.