LongCat-2.0 vs Qwen3.6 Plus
Both target 1M-context agent workloads — Qwen3.6 Plus emphasizes terminal efficiency and value; LongCat-2.0 pushes trillion-scale MoE for deep agentic coding.
Side-by-Side
| Dimension | LongCat-2.0 | Qwen3.6 Plus |
|---|---|---|
| Parameters | 1.6T / 33–56B active | Undisclosed |
| Context | 1M | 1M |
| Positioning | Trillion-scale agentic coding MoE | Terminal tasks + cost efficiency |
| SWE-bench Pro | 59.5 | — |
| SWE-Bench Verified | — | 78.8% |
| Terminal-Bench 2.0 | — | 61.6% (beats Claude Opus 4.6 at 59.3%) |
| Terminal-Bench 2.1 (LongCat official) | 70.8 | — |
| Training narrative | Full domestic chip pipeline | Alibaba Qwen ecosystem |
Terminal-Bench 2.0 and 2.1 may differ in task sets — compare version numbers when evaluating.
Terminal vs Deep SWE: Two Different Wins
Qwen3.6 Plus leads on Terminal-Bench 2.0 (61.6%), beating Claude Opus 4.6 (59.3%) on that harness. LongCat reports Terminal-Bench 2.1 at 70.8 — different suite versions; not a direct A/B.
Qwen's SWE-Bench Verified (78.8%) and LongCat's SWE-bench Pro (59.5) measure different task mixes. Match the suite to your production patch shape.
Cost & Ecosystem
Qwen3.6 Plus targets value and terminal efficiency in the Alibaba Qwen stack. LongCat offers trillion-scale open weights and promo API pricing ($0.30/$1.20 per M). See pricing table.
When to Choose LongCat-2.0
- Deep multi-file software engineering (SWE-bench Pro leadership)
- Maximum active compute per token for complex agent reasoning
- Open trillion-parameter weights with documented domestic training stack
- Aggressive API promo pricing for high-volume agent loops
When to Choose Qwen3.6 Plus
- Terminal-first workflows where Qwen's Terminal-Bench 2.0 score is the reference
- Teams already embedded in the Qwen / Alibaba Cloud ecosystem
- Cost-efficiency positioning for standardized terminal automation tasks
- Strong SWE-Bench Verified (78.8%) when that suite matches your eval harness