Benchmark scores
Higher is better for all benchmark scores (SWE-bench, GPQA, HLE, Terminal-Bench, etc.). Green marks the model with the higher score.
LLM Comparison
MiniMax-M3 vs LongCat 2.0: benchmark scores, pricing & comparison.
Side-by-side MiniMax-M3 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.
Rank #19 vs #21AskClash overall scores 53.1 vs 49.8.
Pricing $0.30/$1.20 vs $0.75/$2.95Input and output token prices per 1M tokens when published.
Open Weight vs Open WeightMiniMax vs Meituan.
MiniMax-M3 vs LongCat 2.0 benchmark comparison
Green cells highlight the winning model for each metric. Scores are cached from the AskClash LLM leaderboard snapshot.
| Metric | MiniMax-M3 | LongCat 2.0 |
|---|---|---|
| Overall Score | 53.1 | 49.8 |
| Leaderboard Rank | #19 | #21 |
| RWT | 8.5 | — |
| HLE | 37.1 | — |
| GPQA | 92.9 | 88.9 |
| IFEval | 82.9 | 90.0 |
| SWE-bench | 80.5 | — |
| SWE-Pro | 59.0 | 59.5 |
| Terminal-Bench | 66.0 | 70.8 |
| OSWorld | 70.1 | — |
| MCP Atlas | 74.2 | — |
| Finance Agent | 48.3 | — |
| MMMU-Pro | 78.1 | — |
| Tau2 | 88.9 | 88.2 |
| Input Price (per 1M tokens) | $0.30 | $0.75 |
| Output Price (per 1M tokens) | $1.20 | $2.95 |
| Context Window | 1M | 1M |
| Benchmarks Published | 14 | 5 |
MiniMax-M3 vs LongCat 2.0 head-to-head charts
MiniMax-M3 leads 3 and LongCat 2.0 leads 3 of 6 shared benchmarks. MiniMax-M3 is cheaper on a defined 1M-input / 200K-output workload. Charts show only benchmarks both models publish.
MiniMax-M3LongCat 2.0
Overall
GPQA
IFEval
SWE-Pro
Terminal-Bench
Tau2
MiniMax-M3
Input$0.30
Output$1.20
Workload$0.54
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 MiniMax-M3 and LongCat 2.0 comparisons
Explore how MiniMax-M3 and LongCat 2.0 stack up against other top-ranked LLMs.
How to read this comparison
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.