LLM Comparison

Hy3 vs LongCat 2.0: benchmark scores, pricing & comparison.

Side-by-side Hy3 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 leaderboardHy3 model pageLongCat 2.0 model page
Rank #31 vs #32AskClash overall scores 35.6 vs 34.1.
Pricing $0.12/$0.43 vs $0.75/$2.95Input and output token prices per 1M tokens when published.
Open Weight vs Open WeightTencent vs Meituan.

Hy3 vs LongCat 2.0 benchmark comparison

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

MetricHy3LongCat 2.0
Overall Score35.634.1
Leaderboard Rank#31#32
RWT8.0—
HLE53.2—
GPQA90.488.9
IFEval—90.0
SWE-bench78.0—
SWE-Pro57.959.5
Terminal-Bench71.770.8
MCP Atlas79.1—
Tau292.788.2
MRCR75.1—
Input Price (per 1M tokens)$0.12$0.75
Output Price (per 1M tokens)$0.43$2.95
Context Window256K1M
Benchmarks Published95

Hy3 vs LongCat 2.0 head-to-head charts

Hy3 leads 4 and LongCat 2.0 leads 1 of 5 shared benchmarks. Hy3 is cheaper on a defined 1M-input / 200K-output workload. Charts show only benchmarks both models publish.

Hy3LongCat 2.0
Overall
35.6Hy3
34.1LongCat 2.0
GPQA
90.4Hy3
88.9LongCat 2.0
SWE-Pro
57.9Hy3
59.5LongCat 2.0
Terminal-Bench
71.7Hy3
70.8LongCat 2.0
Tau2
92.7Hy3
88.2LongCat 2.0
Hy3
Input$0.12
Output$0.43
Workload$0.21
Context256K
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 Hy3 and LongCat 2.0 comparisons

Explore how Hy3 and LongCat 2.0 stack up against other top-ranked LLMs.

Claude Opus 5 vs Hy3Claude Opus 5 vs LongCat 2.0Claude Fable 5 vs Hy3Claude Fable 5 vs LongCat 2.0GLM-5.3 vs Hy3GLM-5.3 vs LongCat 2.0Grok 4.6 vs Hy3Grok 4.6 vs LongCat 2.0GPT-5.6 Sol vs Hy3GPT-5.6 Sol vs LongCat 2.0

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.