LongCat 2.0 with Jev
LongCat 2.0 is a model from Meituan, released 2026-07-20. It costs $0.300 per million input tokens and $1.20 per million output tokens, reads up to 1.05M tokens of context, and writes up to 262,144 tokens in one reply. Through llm11, set model to meituan/longcat-2.0.
- Input price
- $0.300 / 1M
- Output price
- $1.20 / 1M
- Context window
- 1.05M tokens
- Max output
- 262K tokens
- Cached input
- $0.006 / 1M
- Released
- 2026-07-20
- Accepts
- text
- Intelligence index
- 19.1
Read from the provider's prompt cache
Artificial Analysis, via the catalogue
Read from the live catalogue and refreshed daily. At blended list price, 58% of the 332 priced models we can call cost more.
Using LongCat 2.0 with Jev
Jev is TypeSafe AI's System One model. It reads each request first and decides which model in your pool answers, with a calibrated confidence on that call. LongCat 2.0 does the answering when Jev sends it work, or when you name it yourself. At list price LongCat 2.0 falls in the llm11-balanced band, but no pack routes to it because it does not advertise structured output, which the verification checks rely on. You can still pin it: pass meituan/longcat-2.0 as model and routing steps aside while verification still runs.
Jev is new, so we have not published results for LongCat 2.0 with and without it, and this page does not invent any. Every response comes with a receipt that names the model that answered and what it cost against your most expensive model, so you can measure the pairing on your own traffic.
What a request costs
List price arithmetic, the same sum a receipt does. llm11 adds nothing per request; the only fee is on buying credits.
| Request | Tokens in / out | One | A thousand |
|---|---|---|---|
| Short chat turn | 500 / 200 | $0.00039 | $0.390 |
| Question over retrieved documents | 4,000 / 500 | $0.00180 | $1.80 |
| Long document summary | 30,000 / 1,000 | $0.010 | $10.20 |
Cheaper models to try
Nearest in price and below LongCat 2.0, each within a few points of it on the intelligence index.
| Model | Input / 1M | Output / 1M | Context | Index | Released |
|---|---|---|---|---|---|
| DeepSeek DeepSeek V3.1 Terminus | $0.300 | $1.00 | 164K | 14.8 | |
| OpenAI GPT-5.4 Nano | $0.200 | $1.25 | 400K | 20.7 | |
| OpenAI GPT-5.6 Luna | $0.200 | $1.20 | 1.05M | 37.3 | |
| Qwen Qwen3.6 35B A3B | $0.150 | $1.00 | 262K | 18.2 |
Call it
Same OpenAI request shape. Naming the model pins it, so nothing is routed, and the answer is still checked.
python
from openai import OpenAI
client = OpenAI(base_url="https://www.llm11.com/v1", api_key="llm11_live_...")
res = client.chat.completions.create(
model="meituan/longcat-2.0",
messages=[{"role": "user", "content": "Hello"}],
)Questions
- What is LongCat 2.0 with Jev?
- Jev is TypeSafe AI's System One model. It reads each request first and decides which model in your pool answers, with a calibrated confidence on that call. LongCat 2.0 does the answering when Jev sends it work, or when you name it yourself. At list price LongCat 2.0 falls in the llm11-balanced band, but no pack routes to it because it does not advertise structured output, which the verification checks rely on. You can still pin it: pass meituan/longcat-2.0 as model and routing steps aside while verification still runs. Routing decisions are made by Jev, TypeSafe AI's System One model.
- Is LongCat 2.0 a System One model?
- No. LongCat 2.0 answers requests. The System One model is Jev, which decides which model answers each one, so the two do different jobs and llm11 uses both.
- How much does LongCat 2.0 cost?
- $0.300 per million input tokens and $1.20 per million output tokens. A 4,000 token prompt with a 500 token answer costs about $0.00180, so a thousand of them is about $1.80. llm11 passes provider list price through and charges 5% when you buy credits.
- What is the LongCat 2.0 context window?
- 1,048,756 tokens, with up to 262,144 tokens in a single reply.
- Does LongCat 2.0 support tool calling and structured output?
- The catalogue lists tool calling and reasoning controls, but it does not list structured output.
- Can I use LongCat 2.0 through llm11?
- Yes. Set model to meituan/longcat-2.0 on the OpenAI-compatible endpoint and the request goes to it directly, with verification still running.
- Does Jev route to LongCat 2.0?
- Routing decisions are made by Jev, TypeSafe AI's System One model. At list price LongCat 2.0 falls in the llm11-balanced band, but no pack routes to it because it does not advertise structured output, which the verification checks rely on. You can still pin it: pass meituan/longcat-2.0 as model and routing steps aside while verification still runs.
- What is a cheaper alternative to LongCat 2.0?
- Nearest in price and below it: DeepSeek DeepSeek V3.1 Terminus at $0.300 in and $1.00 out, OpenAI GPT-5.4 Nano at $0.200 in and $1.25 out and OpenAI GPT-5.6 Luna at $0.200 in and $1.20 out. Nearest in price and below LongCat 2.0, each within a few points of it on the intelligence index.