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longcat · Balanced

LongCat 2.5 Preview

Added Sep 27, 2026

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Use in the app

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.

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LongCat 2.5 PreviewlongcatThis modelAmazon Nova Pro 1.0amazonRemove
Providerlongcatamazon
Discovery tierBalancedBalanced
AddedSep 27, 2026Dec 3, 2024
Limits
Context window1MBest300K
Max output131.07KBest32K
Average output—56 tokens
Pricing, USD per 1M tokens
Input$0.75Best$0.80
Output$2.95Best$3.20
Cache read$0.015—
Performance
Request success (24h)99.7%—
Benchmark indexes
Intelligence Index—7.0
Math Index—7.0
Capabilities
ReasoningYesNo
ToolsYesNo
VisionYesNo
Reasoning effort——

Public evaluations

Benchmarks

Independent evaluation results, with how each score ranks among the models in the Noumen catalog.

  • LongCat 2.5 Preview
  • Amazon Nova Pro 1.0

Intelligence Index

  • LongCat 2.5 Preview—
  • Amazon Nova Pro 1.07.0
3.8Catalog models by score55.1

Indexes

  • Math Index

    Composite of the math evaluations

    • LongCat 2.5 Preview: —
    • Amazon Nova Pro 1.0: 7.0

Document reasoning

  • AA-LCRv1.1

    Reasoning across long documents

    • LongCat 2.5 Preview: —
    • Amazon Nova Pro 1.0: 21.0%

Reasoning and knowledge

  • Humanity’s Last Exam

    Expert-level questions across academic fields

    • LongCat 2.5 Preview: —
    • Amazon Nova Pro 1.0: 3.2%

  • GPQA Diamond

    Graduate-level science questions

    • LongCat 2.5 Preview: —
    • Amazon Nova Pro 1.0: 49.9%

  • MMLU-Pro

    Multi-subject knowledge and reasoning

    • LongCat 2.5 Preview: —
    • Amazon Nova Pro 1.0: 69.1%

  • IFBench

    Following precise output instructions

    • LongCat 2.5 Preview: —
    • Amazon Nova Pro 1.0: 38.1%

Coding

  • LiveCodeBench

    Recent competitive programming problems

    • LongCat 2.5 Preview: —
    • Amazon Nova Pro 1.0: 23.3%

Math

  • AIME 2025

    Competition mathematics, 2025 problems

    • LongCat 2.5 Preview: —
    • Amazon Nova Pro 1.0: 7.0%

  • AIME

    Competition mathematics

    • LongCat 2.5 Preview: —
    • Amazon Nova Pro 1.0: 10.7%

  • MATH-500

    Competition math problems

    • LongCat 2.5 Preview: —
    • Amazon Nova Pro 1.0: 78.6%

Legacy evaluations

  • Terminal-Bench Hard

    Earlier terminal task suite

    • LongCat 2.5 Preview: —
    • Amazon Nova Pro 1.0: 6.1%

  • τ²-Bench Telecom

    Tool use in a customer-support simulation

    • LongCat 2.5 Preview: —
    • Amazon Nova Pro 1.0: 14.0%

  • AA-LCR (unversioned)

    Long-context reasoning, earlier grading

    • LongCat 2.5 Preview: —
    • Amazon Nova Pro 1.0: 21.0%

Scores from Artificial Analysis, updated Oct 26, 2026. Artificial Analysis

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
79.8%
About $0.16 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.

Hourly request success · last 72 hoursLowest hour 78.5%
  • 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.

Read the quickstart
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

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