Skip to main content

Laguna M.1 vs LongCat-2.0

Head-to-head comparison across 2benchmark categories. Overall scores shown here use BenchLM's provisional ranking lane.

Laguna M.1

43

VS

LongCat-2.0

80

0 categoriesvs2 categories

Pick LongCat-2.0 if you want the stronger benchmark profile. Laguna M.1 only becomes the better choice if you want the cheaper token bill.

Category Breakdown

Agentic

LongCat-2.0
40.7vs70.8

+30.1 difference

Coding

LongCat-2.0
56.4vs59.5

+3.1 difference

Operational Comparison

Laguna M.1

LongCat-2.0

Price (per 1M tokens)

$0.2 / $0.4

$0.75 / $2.95

Speed

N/A

N/A

Latency (first answer)

N/A

N/A

Context Window

256K

1M

Quick Verdict

Pick LongCat-2.0 if you want the stronger benchmark profile. Laguna M.1 only becomes the better choice if you want the cheaper token bill.

LongCat-2.0 is clearly ahead on the provisional aggregate, 80 to 43. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.

LongCat-2.0's sharpest advantage is in agentic, where it averages 70.8 against 40.7. The single biggest benchmark swing on the page is Terminal-Bench 2.0, 40.7% to 70.8%.

LongCat-2.0 is also the more expensive model on tokens at $0.75 input / $2.95 output per 1M tokens, versus $0.20 input / $0.40 output per 1M tokens for Laguna M.1. That is roughly 7.4x on output cost alone. LongCat-2.0 gives you the larger context window at 1M, compared with 256K for Laguna M.1.

Benchmark Deep Dive

Frequently Asked Questions (3)

Which is better, Laguna M.1 or LongCat-2.0?

LongCat-2.0 is ahead on BenchLM's provisional leaderboard, 80 to 43. The biggest single separator in this matchup is Terminal-Bench 2.0, where the scores are 40.7% and 70.8%.

Which is better for coding, Laguna M.1 or LongCat-2.0?

LongCat-2.0 has the edge for coding in this comparison, averaging 59.5 versus 56.4. Inside this category, Terminal-Bench 2.0 is the benchmark that creates the most daylight between them.

Which is better for agentic tasks, Laguna M.1 or LongCat-2.0?

LongCat-2.0 has the edge for agentic tasks in this comparison, averaging 70.8 versus 40.7. Inside this category, Terminal-Bench 2.0 is the benchmark that creates the most daylight between them.

Related Comparisons

Last updated: June 30, 2026

The AI models change fast. We track them for you.

For engineers, researchers, and the plain curious — a weekly brief on new models, ranking shifts, and pricing changes.

Free. No spam. Unsubscribe anytime.