LongCat 2.0
Meituan released 2026-07-20
$0.525 per million tokens, balanced
DeepSeek V4 Flash 0731 is both better and cheaper.
It scores +17.8 higher and costs 80% less ($0.105/M against $0.525/M) on this workload — and it does everything this model does.
GPT-5.6 Luna is cheaper still (14% less) but drops 262K → 128K max output.
Every price dimension
| Input | $0.300/M |
|---|---|
| Output | $1.20/M |
| Cached input | $0.0060/M |
Independent scores
| Intelligence | 34 |
|---|---|
| Coding | 45.3 |
| Agentic | 22 |
Sources are listed separately rather than averaged. Across the 62 models both have scored they correlate at r = 0.806 — close agreement overall, but four models rank very differently between them, and a blended score would hide exactly those.
Capability
| Context window | 1.0M |
|---|---|
| Max output | 262K |
| Input modes | text |
| Tool use | yes |
| Reasoning | optional |
Provenance
| Price source | openrouter.ai |
|---|---|
| Fetched | 2026-08-24 |
| Quality data | verified |
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...