Benchmark Almanac

LongCat safety evaluation (Meituan)

Models answer private test queries in four risk categories: harmful content, criminal activity, misinformation and privacy. The score is the share of safe responses in each category.

In-house test built on the framework of Mu et al. 2024 and Meituan content guidelines. Queries were reviewed by hand.

Released
September 2025
Kind
Refusing harmful requests
Level
Everyday
Scored
Graded by a model
Answers
Open-ended
Tasks
Kept private
Last in a launch post
September 2025, dropped after it saturated
Last model added
September 2025
2
Models scored in lab cards
2
Launch posts list it, from 1 lab
2
System cards report it, from 1 lab

LongCat-Flash-Thinking leads with 95.7%

Best score per model as labs report them in their own cards. Labs pick their own settings, so these compare less cleanly than independent runs.

  1. 1 LongCat-Flash-Thinking 95.7%
  2. 2 LongCat-Flash-Chat 87.7%

Source: Labs’ model cards

#ModelScoreSettingDateSource
1 LongCat-Flash-Thinking 95.7% Sep 2025 Lab model card
2 LongCat-Flash-Chat 87.7% Aug 2025 Lab model card

Meituan’s own number for LongCat-Flash-Chat passed 85% in August 2025

All the scores we have, one dot each, so a model tested at several settings appears more than once.

Reported by the lab in its model card Best so far
0% 20% 40% 60% 80% 100% Near the ceiling (85%) LongCat-Flash-Thinking LongCat-Flash-Chat 0% 20% 40% 60% 80% 100% Near the ceiling (85%) LongCat-Flash-Thinking LongCat-Flash-Chat

Source: Labs’ model cards

Labs dropped it from launch posts once the best score passed 85%

Launch posts from every lab that has listed it, one tick per post. Tall colored ticks include it, and short gray ones leave it out.

Meituan
DateLaunch postScoreAs the post writes it
Sep 21, 2025 LongCat-Flash-Thinking 95.7 Mean of Safety Harmful 93.7 / Criminal 97.1 / Misinformation 93.0 / Privacy 98.8
Aug 29, 2025 LongCat-Flash-Chat 87.7 Mean of Safety Harmful 83.98 / Criminal 91.24 / Misinformation 81.72 / Privacy 93.98

2 system cards report it, from 1 lab

Besides launch posts, we read the system cards, model cards and technical reports labs publish with a release. They report far more, including safety and frontier-risk tests.

DateDocumentScoreAs the document writes itSection
Sep 23, 2025 LongCat-Flash-Thinking technical report Safety accuracy Harmful 93.7, Criminal 97.1, Misinformation 93.0, Privacy 98.8, no overall score (Table 2) Safety
Sep 1, 2025 LongCat-Flash-Chat technical report Safety Harmful 83.98, Criminal 91.24, Misinformation 81.72, Privacy 93.98, no overall score (Table 3) Safety

More in Safety and alignment

All 465 in Safety and alignment
  • FORTRESS In use Paired adversarial and benign national-security misuse prompts. Rubric-graded risk score on adversarial and over-refusal score on benign prompts. Claude Opus 5.5 5.78%
  • StrongREJECT In use Forbidden-prompt jailbreak benchmark with a rubric grader that scores how useful a non-refusal actually is. Inkling 98.6%
  • Gray Swan IPI Arena benchmark In use Indirect prompt-injection attacks from public red-teaming competitions replayed on tool, coding and browser agents. Attack success rate at k attempts. Gemini 4 Carbon 0%
  • DistressBench In use Models reply as a chatbot to 718 simulated users in psychological crisis, in single-turn and multi-turn chats. Three judge models score replies against clinician-written rubrics. Muse Spark 1.2 88.4%
  • Lakera B3 (Backbone Breaker Benchmark) In use Crowdsourced prompt-injection attacks hit backbone LLMs inside agent threat snapshots at three defense levels. The score is attack resistance, 100 minus the board's vulnerability percentage. Claude Opus 4.5 89%
  • IHEval In use Models face conflicts between system, user and tool instructions. Reports a composite score for following the higher-priority instruction. GPT-4o 70%