LLM Comparison

GPT-6.1 Terra vs LongCat 2.0: benchmark scores, pricing & comparison.

Side-by-side GPT-6.1 Terra 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.

Verdict: GPT-6.1 Terra ranks higher (#35 vs #150) and wins 2 of 2 shared benchmarks; LongCat 2.0 costs less ($0.75/$2.95 vs $1.00/$5.00 per 1M tokens).

Rank #35 vs #150AskClash overall scores 61.7 vs 26.0.
Pricing $1.00/$5.00 vs $0.75/$2.95Input and output token prices per 1M tokens when published.
Proprietary vs Open WeightOpenAI vs Meituan.

GPT-6.1 Terra vs LongCat 2.0 benchmark comparison

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

MetricGPT-6.1 TerraLongCat 2.0
Overall Score61.726.0
Leaderboard Rank#35#150
ACB62.1—
HLE46.233.7
GPQA—88.9
IFEval—90.0
SWE-Pro—59.5
Terminal-Bench55.6—
GDPval-AA1467.6869.1
MMMU-Pro84.7—
Tau2—88.2
Input Price (per 1M tokens)$1.00$0.75
Output Price (per 1M tokens)$5.00$2.95
Context Window1.05M1M
Benchmarks Published87

GPT-6.1 Terra vs LongCat 2.0 head-to-head charts

GPT-6.1 Terra leads 3 and LongCat 2.0 leads 0 of 3 shared benchmarks. LongCat 2.0 is cheaper on a defined 1M-input / 200K-output workload. Charts show only benchmarks both models publish.

GPT-6.1 TerraLongCat 2.0
Overall
61.7GPT-6.1 Terra
26.0LongCat 2.0
HLE
46.2GPT-6.1 Terra
33.7LongCat 2.0
GDPval-AA
1467.6GPT-6.1 Terra
869.1LongCat 2.0
GPT-6.1 Terra
Input$1.00
Output$5.00
Workload$2.00
Context1.05M
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 GPT-6.1 Terra and LongCat 2.0 comparisons

Explore how GPT-6.1 Terra and LongCat 2.0 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.