longcat · Balanced
LongCat 2.5 Preview
LongCat 2.5 Preview is Meituan's multimodal model for long-context analysis, coding, and agent workflows. It supports image input, tool calling, optional extended thinking, a 1M-token context window, and up to 128K output tokens.
- Reasoning
- Tools
- Vision
- Input
- Text, Images
- Output
- Text
- Discovery tier
- Balanced
Pricing
USD per 1M tokens- Input
- $0.75
- Output
- $2.95
- Cache read
- $0.015
Reference prices as published by the model provider. API example
Specifications
- Context window
- 1M
- Max output
- 131.1K
Side by side
LongCat 2.5 Preview compared
Specifications, prices, speed and benchmark scores next to each other. Benchmarks below show every compared model too.
| LongCat 2.5 PreviewlongcatThis model | ERNIE 5.1baiduRemove | |
|---|---|---|
| Provider | longcat | baidu |
| Discovery tier | Balanced | Balanced |
| Added | Sep 27, 2026 | May 10, 2026 |
| Limits | ||
| Context window | 1MBest | 119K |
| Max output | 131.07KBest | 64K |
| Average output | — | 1.9K tokens |
| Pricing, USD per 1M tokens | ||
| Input | $0.75 | $0.75 |
| Output | $2.95Best | $3.00 |
| Cache read | $0.015Best | $0.75 |
| Performance | ||
| Request success (24h) | 99.7% | — |
| Capabilities | ||
| Reasoning | Yes | No |
| Tools | Yes | No |
| Vision | Yes | No |
| Reasoning effort | — | — |
Public evaluations
Benchmarks
Independent evaluation results, with how each score ranks among the models in the Noumen catalog.
- LongCat 2.5 Preview
- ERNIE 5.1
| Leaderboard | LongCat 2.5 Preview | ERNIE 5.1 |
|---|---|---|
| Search Overall | Not in top 20 | #9 · 1226.7 |
Ranks among Noumen catalog models on LMArena leaderboards. Only top-20 placements are listed.LMArena
Live routing data
Performance and reliability
Recent averages across requests routed for this model. Your own speed depends on prompt length, reasoning effort and load.
- Prompt cache hits
- 79.0%
- About $0.17 per 1M input tokens with caching
- Request success (24h)
- 99.7%
- Reliable
Cache hits are the share of input tokens recently served from a prompt cache across all requests. They are not a forecast of your own hit rate.
- Healthy (98% or more)
- Degraded (90–98%)
- Down (under 90%)
- No requests
Developers
Use it through the API
Noumen’s API is OpenAI-compatible: any Chat Completions client works with a base URL and a key.
curl https://www.noumen.xyz/api/v1/chat/completions \
-H "Authorization: Bearer $NOUMEN_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"model": "meituan/longcat-2.5-preview",
"messages": [{ "role": "user", "content": "Explain this stack trace." }]
}'import os
from openai import OpenAI
client = OpenAI(base_url="https://www.noumen.xyz/api/v1", api_key=os.environ["NOUMEN_API_KEY"])
reply = client.chat.completions.create(
model="meituan/longcat-2.5-preview",
messages=[{"role": "user", "content": "Explain this stack trace."}],
)
print(reply.choices[0].message.content)longcat
Related models
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