LongCat 2.0 is a sparse mixture-of-experts language model from Meituan, with 48B active parameters out of 1.6T total. It is suited for coding, repository-level changes, long-horizon problem solving, and agentic...
Model details →Meituan: LongCat 2.0 vs OpenAI: GPT-5.6 Luna
OpenAI: GPT-5.6 Luna wins on 4 of 6 axes — pricing and capability skew in its favour for most workloads.
GPT-5.6 Luna is a fast, cost-efficient model in OpenAI's GPT-5.6 series. It is suited for high-volume, latency-sensitive tasks such as chat, classification, and lightweight agentic workflows, providing capable reasoning for...
Model details →Side-by-side comparison
| Capability | Meituan: LongCat 2.0 | OpenAI: GPT-5.6 Luna | Winner |
|---|---|---|---|
| Context window Maximum number of input tokens the model can attend to in a single request. | 1.0M | 1.1M | 🏆 OpenAI: GPT-5.6 Luna |
| Input price (per 1M) Cost per million input tokens billed by the provider. | $0.30 | $0.10 | 🏆 OpenAI: GPT-5.6 Luna |
| Output price (per 1M) Cost per million output tokens billed by the provider. | $1.20 | $0.60 | 🏆 OpenAI: GPT-5.6 Luna |
| Tool / function calling First-class support for emitting structured tool calls. | Yes | Yes | Tie |
| Vision input Accepts image inputs alongside text. | — | Yes | 🏆 OpenAI: GPT-5.6 Luna |
| Reasoning mode Internal chain-of-thought / extended-thinking support. | Yes | Yes | Tie |
Frequently asked questions
Is Meituan: LongCat 2.0 better than OpenAI: GPT-5.6 Luna?
OpenAI: GPT-5.6 Luna wins on 4 of 6 axes — pricing and capability skew in its favour for most workloads.
What's the price difference between Meituan: LongCat 2.0 and OpenAI: GPT-5.6 Luna?
Input: $0.30 vs $0.10 per 1M tokens. Output: $1.20 vs $0.60 per 1M tokens.
What context windows do Meituan: LongCat 2.0 and OpenAI: GPT-5.6 Luna support?
Meituan: LongCat 2.0 supports up to 1.0M tokens. OpenAI: GPT-5.6 Luna supports up to 1.1M tokens.
Do both Meituan: LongCat 2.0 and OpenAI: GPT-5.6 Luna support tool calling?
Meituan: LongCat 2.0: yes. OpenAI: GPT-5.6 Luna: yes.
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