LongCat 2.0
by Meituan · meituan/longcat-2.0 · #129 cheapest of 325 paid models
Prices updated Jul 22, 2026, 1:40 AM UTC · refreshed hourly
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...
Compare vs:Claude Sonnet 5Claude Opus 4.6Claude Haiku 4.5GPT-5.6 Sol
Pricing
Input
$0.30
per 1M tokens
Output
$1.20
per 1M tokens
Blended (3:1)
$0.525
3 input : 1 output
Cache read
$0.0060
per 1M cached tokens
Cache write
—
per 1M tokens
Cache & batch economics
Effective prices for LongCat 2.0 with prompt caching.
| Cache hit rate | Effective blended $/1M | Example request* | vs no cache |
|---|---|---|---|
| 0% | $0.525 | $0.0318 | — |
| 50% | $0.415 | $0.0171 | −46% |
| 90% | $0.327 | $0.00534 | −83% |
*Example: 100K sticky context + 2K new input + 1K output. Batch discount is an approximate 50% off list rates (available for OpenAI / Anthropic / Google — not flagged for this creator). Confirm on the vendor’s pricing page.
What a request costs
| Workload | Input tokens | Output tokens | Cost / request | Cost / 1K requests |
|---|---|---|---|---|
| Short chat message | 500 | 300 | $0.00051 | $0.51 |
| Document summary | 8,000 | 1,000 | $0.0036 | $3.60 |
| Codebase question (RAG) | 30,000 | 2,000 | $0.0114 | $11.40 |
| Long-context analysis | 150,000 | 5,000 | $0.051 | $51.00 |
Specs
Context window
1.05M
tokens
Max output
262K
tokens
Input modalities
text
Tokenizer
Other