Spiral-Bench v1.2
Models chat for 20 turns with a simulated suggestible user. A judge ensemble of Claude Sonnet 4.5, GPT-5 and Kimi-K2 logs protective and risky behaviors with intensity ratings, which combine into a safety score.
Version 1.2 went live on October 12th, 2025 with a judge ensemble, a reworked rubric and new behaviors. It drops findings of intensity 1, so scores differ from v1.0.
- Made by
- EQ-Bench (Sam Paech)
- Released
- October 2025
- Kind
- Wellbeing and sycophancy
- Level
- Everyday
- Scored
- Graded by a model
- Answers
- Open-ended
- Tasks
- All public
- Strongest model tested
- GPT-5.2 #50 on the capability index
- Last model added
- December 2025
- Scores refreshed
- November 12th, 2026
GPT-5 Chat leads with 70.8 among models released by December 2025
Best score per entry from the benchmark's own leaderboard, read on November 12th, 2026. Where a model ran with several settings or harnesses, we keep its best. Names in gray aren't in our model list: fine-tunes, agent systems, products and older models. They don't count toward leaders.
The newest model with a score here came out in December 2025, and nobody has tested a newer one. Among the 20 highest-ranked models on the capability index, these have no score yet:
- Claude Fable 5.2
-
Gemini 4 Carbon
- GPT-6 Astra
- Claude Opus 5.5
- and 16 more
- 70.8 GPT-5 Chat
- 70.3 Claude Sonnet 4.5
- 70.2 GPT-5.2
- 63.4 o3
- 57.5 gpt-oss-120b
- 57.4 GPT-5
- 57.2 Kimi K2
- 53.6 o4-mini
- 42.6 Claude 3.5 Sonnet
- 38.7
Gemini 3 Pro
- 38.2
Llama 4 Maverick
- 37.5 Grok 4 Fast
- 36.5
Gemini 2.5 Flash
- 32.1 Claude Sonnet 4
- 30.8 GLM-4.6
- 28.3
Gemini 2.5 Pro
- 25.3 Grok 4.1 Fast
- 25.2 chatgpt-4o-latest
- 25.2
Gemma 3 27B
- 20.4
Qwen3-235B-A22B-Instruct
- 15.0
Mistral Medium 3.1
- 14.2
DeepSeek-R1
- 1 GPT-5 Chat 70.8
- 2 Claude Sonnet 4.5 70.3
- 3 GPT-5.2 70.2
- 4 o3 63.4
- 5 gpt-oss-120b 57.5
- 6 GPT-5 57.4
- 7 Kimi K2 Sep 2025 57.2
- 8 o4-mini 53.6
- 9 Claude 3.5 Sonnet 42.6
- 10
Gemini 3 Pro 38.7
- 11
Llama 4 Maverick 38.2
- 12 Grok 4 Fast 37.5
- 13
Gemini 2.5 Flash Sep 2025 36.5
- 14 Claude Sonnet 4 32.1
- 15 GLM-4.6 30.8
- 16
Gemini 2.5 Pro Jun 2025 28.3
- 17 Grok 4.1 Fast 25.3
- 18 chatgpt-4o-latest 25.2
- 19
Gemma 3 27B 25.2
- 20
Qwen3-235B-A22B-Instruct Jul 2025 20.4
- 21
Mistral Medium 3.1 15.0
- 22
DeepSeek-R1 May 2025 14.2
Source: Official Spiral-Bench v1.2 leaderboard
| # | Entry | Score | Setting | Date | Source |
|---|---|---|---|---|---|
| 1 | GPT-5 Chat | 70.8 | Aug 2025 | Official leaderboard | |
| 2 | Claude Sonnet 4.5 | 70.3 | Sep 2025 | Official leaderboard | |
| 3 | GPT-5.2 | 70.2 | Dec 2025 | Official leaderboard | |
| 4 | o3 | 63.4 | Apr 2025 | Official leaderboard | |
| 5 | gpt-oss-120b | 57.5 | Aug 2025 | Official leaderboard | |
| 6 | GPT-5 | 57.4 | Aug 2025 | Official leaderboard | |
| 7 | Kimi K2 Sep 2025 | 57.2 | Sep 2025 | Official leaderboard | |
| 8 | o4-mini | 53.6 | Apr 2025 | Official leaderboard | |
| 9 | Claude 3.5 Sonnet | 42.6 | Jun 2024 | Official leaderboard | |
| 10 | | 38.7 | Nov 2025 | Official leaderboard | |
| 11 | | 38.2 | Apr 2025 | Official leaderboard | |
| 12 | Grok 4 Fast | 37.5 | Sep 2025 | Official leaderboard | |
| 13 | | 36.5 | Sep 2025 | Official leaderboard | |
| 14 | Claude Sonnet 4 | 32.1 | May 2025 | Official leaderboard | |
| 15 | GLM-4.6 | 30.8 | Sep 2025 | Official leaderboard | |
| 16 | | 28.3 | Jun 2025 | Official leaderboard | |
| 17 | Grok 4.1 Fast | 25.3 | Nov 2025 | Official leaderboard | |
| 18 | chatgpt-4o-latest | 25.2 | Official leaderboard | ||
| 19 | | 25.2 | Mar 2025 | Official leaderboard | |
| 20 | | 20.4 | Jul 2025 | Official leaderboard | |
| 21 | | 15.0 | Aug 2025 | Official leaderboard | |
| 22 | | 14.2 | May 2025 | Official leaderboard |
Number one over time
Lab claims count from the day the card came out, independent runs from the model’s release.
Source: Official Spiral-Bench v1.2 leaderboard
Scores over time
All the scores we have, one dot each, so a model tested at several settings appears more than once.
Source: Official Spiral-Bench v1.2 leaderboard
No lab model card reports it yet
We read the headline results of 522 launch posts from 52 labs, and none of them list this benchmark.
Versions
More in Safety and alignment
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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%