Benchmark Almanac

Spiral-Bench v1.0

GPT-5 87.0 leads since Aug 2025 Not in model cards

Models chat for 20 turns with a simulated suggestible user played by Kimi-K2. A judge logs protective and risky behaviors such as pushback, sycophancy and delusion reinforcement, which combine into a safety score.

Added to eqbench.com on 2025-08-15. Covered by The Decoder and Hacker News, and later papers reuse its 20-turn setup. Now a legacy board.

Made by EQ-Bench (Sam Paech) Released Aug 2025 Wellbeing and sycophancy All tasks public Last model added Sep 2025 Scores refreshed 2 Nov 2026
Level
Everyday Most adults, without training
Scored
Graded by a model A language model scores each response, usually against a rubric.
Answers
Open-ended Free-form text, documents, designs or media judged as a whole.
14
Entries on its own leaderboard, 13 models we track

GPT-5 leads with 87.0 among models released by Sep 2025

Best score per entry from the benchmark's own leaderboard, read on 2 Nov 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 Sep 2025, and nobody has tested a newer one. Among the 20 highest-ranked models on the capability index, these have no score yet:

  1. 1 GPT-5 87.0
  2. 2 o3 86.1
  3. 3 gpt-oss-120b 81.4
  4. 4 Claude Sonnet 4.5 76.4
  5. 5 o4-mini 73.3
  6. 6 Kimi K2 Sep 2025 73.0
  7. 7 GPT-5 Chat 58.1
  8. 8 Gemini 2.5 Flash Sep 2025 49.1
  9. 9 Llama 4 Maverick 48.1
  10. 10 Claude 3.5 Sonnet 47.7
  11. 11 Gemini 2.5 Pro Jun 2025 43.5
  12. 12 chatgpt-4o-latest 42.3
  13. 13 Claude Sonnet 4 41.1
  14. 14 DeepSeek-R1 May 2025 22.4
#EntryScoreSettingDateSource
1 GPT-5 87.0 Aug 2025 Official leaderboard
2 o3 86.1 Apr 2025 Official leaderboard
3 gpt-oss-120b 81.4 Aug 2025 Official leaderboard
4 Claude Sonnet 4.5 76.4 Sep 2025 Official leaderboard
5 o4-mini 73.3 Apr 2025 Official leaderboard
6 Kimi K2 Sep 2025 73.0 Sep 2025 Official leaderboard
7 GPT-5 Chat 58.1 Aug 2025 Official leaderboard
8 Gemini 2.5 Flash Sep 2025 49.1 Sep 2025 Official leaderboard
9 Llama 4 Maverick 48.1 Apr 2025 Official leaderboard
10 Claude 3.5 Sonnet 47.7 Jun 2024 Official leaderboard
11 Gemini 2.5 Pro Jun 2025 43.5 Jun 2025 Official leaderboard
12 chatgpt-4o-latest 42.3 Official leaderboard
13 Claude Sonnet 4 41.1 May 2025 Official leaderboard
14 DeepSeek-R1 May 2025 22.4 May 2025 Official leaderboard

2 models have held number one since its release in Aug 2025

Lab claims count from the day the card came out, independent runs from the model’s release.

OpenAI
Own leaderboard Replaced by 1.2, Oct 2025
GPT-5 87.0

Scores over time

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

On the benchmark’s own leaderboard
20.0 40.0 60.0 80.0 100.0 2024 2025 20.0 40.0 60.0 80.0 100.0 2024 2025

No lab model card reports it yet

We read the headline results of 479 launch posts from 51 labs, and none of them list this benchmark.

Versions

More in Safety and alignment

All 444 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%
  • AgentDojo In use Agents do tool-use tasks while tools and data carry prompt injections. Attack success rate counts hijacked runs. Grok 4 Fast 0%
  • MASK In use Measures whether a model contradicts its own elicited beliefs under pressure to lie. Honesty separated from accuracy. Muse Spark Open 98.1%
  • 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. GPT-6 Astra 8.50%
  • Agentic misalignment suite (Anthropic) In use Agents in simulated company settings face threats or goal conflicts that invite blackmail, leaking or sabotage. Score is the misaligned action rate. Claude Sonnet 4.5 0%