Meituan: LongCat 2.0 review: specs, pricing, and where it fits
Meituan: LongCat 2.0 ranks #6 on the AI Hippo board with a 1.0M context window and $0.30 input / $1.20 output per 1M tokens. Specs, cost math, and how it compares.
The quick read
Meituan: LongCat 2.0 from meituan is a balanced pick (#6): a 1.0M window at $0.30 input / $1.20 output per 1M tokens. It aims for capability headroom without top-tier prices—useful when neither raw cost nor absolute frontier quality is the only constraint.
Spec sheet at a glance
By the numbers: 1.0M context window; text-in / text-out; 15 exposed API parameters, including tool calling with reasoning support. Use these to judge fit for agentic, long-context, or structured-output workloads.
Pricing & how it compares
Pricing: $0.30 input / $1.20 output per 1M tokens. Its blended $0.75 is above the top-20 median ($0.66). On AI Hippo the composite board rewards cheap long-context models such as Meta: Llama 4 Scout, so a lower rank here means weaker value-per-token, not weaker capability.
Head-to-head
Its closest board neighbor is Google: Lyria 3 Pro Preview (1.0M ctx, free tier). Side by side, Meituan: LongCat 2.0 offers 1.0M ctx at $0.75/1M blended: context is longer and, on blended token price, it is pricier. Pick between them on whichever axis your workload is bound by.
Where it fits
Best-fit workloads: whole-repo & long-document work, tool-calling agents, multi-step reasoning, high-volume, cost-sensitive batch.
Cost in practice & verdict
A representative 100K-input + 20K-output task costs about $0.05 on Meituan: LongCat 2.0. Verdict: strong price-performance for a default, high-volume workhorse where every token counts.
Sources
Evidence and actions
- Time window: catalog snapshot
- Observation count: 20
- Source type: catalog_and_pricing
- See its board position on /en/rankings/
- Verify multi-source pricing on /en/token/
- Compare side by side on /en/compare/?m=Meituan%3A%20LongCat%202.0