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longcat · Open weights

LongCat 2.0

Added Jun 30, 2026Open weights

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Use in the app

Meituan's LongCat 2.0 is an open-weight agentic model for coding, tool use, and long-context workflow automation, with reasoning disabled for faster direct answers.

  • Tools
Input
Text
Output
Text
Discovery tier
Open weights

Pricing

USD per 1M tokens
Input
$0.75
Output
$3.00
Cache read
$0.015

Reference prices as published by the model provider. API example

Specifications

Context window
1M
Max output
131.1K
Average output (7 days)
368 tokens
Longer than 38% of 468 models

Side by side

LongCat 2.0 compared

Specifications, prices, speed and benchmark scores next to each other. Benchmarks below show every compared model too.

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LongCat 2.0longcatThis modelDeepSeek V4 Flash 0423DeepSeekRemove
ProviderlongcatDeepSeek
Discovery tierOpen weightsOpen weights
AddedJun 30, 2026Oct 7, 2026
Limits
Context window1M1.05MBest
Max output131.07K—
Average output368 tokens245 tokens
Pricing, USD per 1M tokens
Input$0.75$0.14Best
Output$3.00$0.28Best
Cache read$0.015Best$0.028
Performance
Throughput—92.6 tok/s
Time to first token—2.5 s
Request success (24h)100.0%Best98.5%
Benchmark indexes
Intelligence Index19.1Best18.9
Coding Index45.3—
Capabilities
ReasoningNoYes
ToolsYesYes
Structured outputNoYes
Reasoning effort—none, low, high, max

Public evaluations

Benchmarks

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

  • LongCat 2.0
  • DeepSeek V4 Flash 0423

Intelligence Index

  • LongCat 2.019.1
  • DeepSeek V4 Flash 042318.9

LongCat 2.0: Better than 48% of 326 scored models

3.8Catalog models by score55.1

Indexes

  • Coding Index

    Composite of the coding evaluations

    • LongCat 2.0: 45.3
    • DeepSeek V4 Flash 0423: —

Agentic work

  • AutomationBench-AA

    Workflow automation, penalized for guardrail violations

    • LongCat 2.0: 4.5%
    • DeepSeek V4 Flash 0423: —

  • AutomationBench-AA tasks completed

    Workflows finished end to end without a guardrail violation

    • LongCat 2.0: 0.5%
    • DeepSeek V4 Flash 0423: —

  • AA-Briefcasev1.1

    Agentic knowledge work, rated head to head

    • LongCat 2.0: 739 Elo
    • DeepSeek V4 Flash 0423: —

  • GDPval-AAv2.1

    Economically valuable occupational tasks, rated head to head

    • LongCat 2.0: 869 Elo
    • DeepSeek V4 Flash 0423: —

Document reasoning

  • GDP.pdf

    Professional reasoning over PDF documents, all-pass rate

    • LongCat 2.0: 6.4%
    • DeepSeek V4 Flash 0423: —

  • AA-LCRv1.1

    Reasoning across long documents

    • LongCat 2.0: 65.0%Top
    • DeepSeek V4 Flash 0423: 41.7%

Reasoning and knowledge

  • Humanity’s Last Exam

    Expert-level questions across academic fields

    • LongCat 2.0: 33.7%Top
    • DeepSeek V4 Flash 0423: 7.8%

  • GPQA Diamond

    Graduate-level science questions

    • LongCat 2.0: 78.0%Top
    • DeepSeek V4 Flash 0423: 71.6%

  • IFBench

    Following precise output instructions

    • LongCat 2.0: —
    • DeepSeek V4 Flash 0423: 47.2%

Coding

  • Terminal-Benchv4.0

    Practical software engineering in a terminal

    • LongCat 2.0: 0.0%
    • DeepSeek V4 Flash 0423: —

  • SciCode

    Scientific computing in Python

    • LongCat 2.0: 36.3%
    • DeepSeek V4 Flash 0423: —

Legacy evaluations

  • Terminal-Bench Hard

    Earlier terminal task suite

    • LongCat 2.0: —
    • DeepSeek V4 Flash 0423: 34.1%

  • τ²-Bench Telecom

    Tool use in a customer-support simulation

    • LongCat 2.0: —
    • DeepSeek V4 Flash 0423: 94.4%

  • AA-LCR (unversioned)

    Long-context reasoning, earlier grading

    • LongCat 2.0: 65.0%Top
    • DeepSeek V4 Flash 0423: 41.7%

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.

Request success (24h)
100.0%
Reliable
Hourly request success · last 72 hoursLowest hour 97.6%
  • 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": "longcat-2.0",
    "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="longcat-2.0",
    messages=[{"role": "user", "content": "Explain this stack trace."}],
)
print(reply.choices[0].message.content)

longcat

Other longcat models, starting with the same family.