DistressBench
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.
Half of the 718 conversations are public and half private. The board uses all of them and lists about 47 models. A long-horizon annex, DistressBench-LH, is reported apart.
- Level
- Expert Specialists with years of training, often over hours of work
- 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.
Muse Spark 1.2 leads with 88.4%
Best score per model from the benchmark's own leaderboard, read on 2 Nov 2026. Where a model ran with several settings or harnesses, we keep its best.
- 88.4
Muse Spark 1.2
- 87.7
Muse Spark Open
- 85.9
Muse Wonder
- 84.9
Muse Spark 1.3
- 79.8
DeepSeek V4.1 Flash
- 78.5
Inkling
- 77.6
Qwen 3.8 Max
- 77.5
Qwen3.8-2.4T-A95B
- 77.0
Mistral Large 4
- 76.4 GPT-5.6 Terra
- 75.6 Claude Opus 5.5
- 74.6 Claude Sonnet 5.5
- 74.3 GPT-6 Astra
- 74.2 GPT-6.1 Sol
- 73.6 GPT-5.6 Sol
- 73.5 Kimi K3
- 72.7 GPT-5.6 Luna
- 72.7 GLM-5.3-Flash
- 72.5 GLM-5.3
- 71.7 Claude Haiku 5.5
- 71.5 Claude Fable 5.1
- 71.4 Claude Opus 4.8
- 71.2 GLM-5
- 70.7
Gemini 3.8 Flash
- 70.2 Claude Opus 5
- 69.4 Claude Fable 5
- 69.0
Gemini 3.7 Flash
- 68.8
Gemini 3.1 Pro
- 68.6
Gemini 4 Argon
- 68.0 Claude Sonnet 5
- 68.0 GPT-6 Sol
- 67.7
MiniMax-M3
- 66.9
Gemini 3.5 Flash
- 66.7 GPT-6 Luna
- 65.9 GPT-6.1 Terra
- 63.7 gpt-oss-120b
- 63.5
Nemotron 3.5 Lightning 30B-A3B
- 62.1
Nemotron 3 Ultra
- 59.1
Mistral Large
- 58.8
Mistral Large 3
- 52.4 Grok 4.7
- 41.3
Llama 4 Maverick
- 1
Muse Spark 1.2 88.4%
- 2
Muse Spark Open 87.7%
- 3
Muse Wonder 85.9%
- 4
Muse Spark 1.3 84.9%
- 5
DeepSeek V4.1 Flash 79.8%
- 6
Inkling 78.5%
- 7
Qwen 3.8 Max 77.6%
- 8
Qwen3.8-2.4T-A95B 77.5%
- 9
Mistral Large 4 77%
- 10 GPT-5.6 Terra 76.4%
- 11 Claude Opus 5.5 75.6%
- 12 Claude Sonnet 5.5 74.6%
- 13 GPT-6 Astra 74.3%
- 14 GPT-6.1 Sol 74.2%
- 15 GPT-5.6 Sol 73.6%
- 16 Kimi K3 73.5%
- 17 GPT-5.6 Luna 72.7%
- 18 GLM-5.3-Flash 72.7%
- 19 GLM-5.3 72.5%
- 20 Claude Haiku 5.5 71.7%
- 21 Claude Fable 5.1 71.5%
- 22 Claude Opus 4.8 71.4%
- 23 GLM-5 71.2%
- 24
Gemini 3.8 Flash 70.7%
- 25 Claude Opus 5 70.2%
- 26 Claude Fable 5 69.4%
- 27
Gemini 3.7 Flash 69%
- 28
Gemini 3.1 Pro 68.8%
- 29
Gemini 4 Argon 68.6%
- 30 Claude Sonnet 5 68%
- 31 GPT-6 Sol 68%
- 32
MiniMax-M3 67.7%
- 33
Gemini 3.5 Flash 66.9%
- 34 GPT-6 Luna 66.7%
- 35 GPT-6.1 Terra 65.9%
- 36 gpt-oss-120b 63.7%
- 37
Nemotron 3.5 Lightning 30B-A3B 63.5%
- 38
Nemotron 3 Ultra 62.1%
- 39
Mistral Large 59.1%
- 40
Mistral Large 3 58.8%
- 41 Grok 4.7 52.4%
- 42
Llama 4 Maverick 41.3%
| # | Model | Score | Setting | Date | Source |
|---|---|---|---|---|---|
| 1 | | 88.4% | Aug 2026 | Official leaderboard | |
| 2 | | 87.7% | Oct 2026 | Official leaderboard | |
| 3 | | 85.9% | Oct 2026 | Official leaderboard | |
| 4 | | 84.9% | Sep 2026 | Official leaderboard | |
| 5 | | 79.8% | Sep 2026 | Official leaderboard | |
| 6 | | 78.5% | Jul 2026 | Official leaderboard | |
| 7 | | 77.6% | Aug 2026 | Official leaderboard | |
| 8 | | 77.5% | Aug 2026 | Official leaderboard | |
| 9 | | 77% | Oct 2026 | Official leaderboard | |
| 10 | GPT-5.6 Terra | 76.4% | Jul 2026 | Official leaderboard | |
| 11 | Claude Opus 5.5 | 75.6% | Sep 2026 | Official leaderboard | |
| 12 | Claude Sonnet 5.5 | 74.6% | Sep 2026 | Official leaderboard | |
| 13 | GPT-6 Astra | 74.3% | Sep 2026 | Official leaderboard | |
| 14 | GPT-6.1 Sol | 74.2% | Sep 2026 | Official leaderboard | |
| 15 | GPT-5.6 Sol | 73.6% | Jul 2026 | Official leaderboard | |
| 16 | Kimi K3 | 73.5% | Jul 2026 | Official leaderboard | |
| 17 | GPT-5.6 Luna | 72.7% | Jul 2026 | Official leaderboard | |
| 18 | GLM-5.3-Flash | 72.7% | Aug 2026 | Official leaderboard | |
| 19 | GLM-5.3 | 72.5% | Aug 2026 | Official leaderboard | |
| 20 | Claude Haiku 5.5 | 71.7% | Oct 2026 | Official leaderboard | |
| 21 | Claude Fable 5.1 | 71.5% | Sep 2026 | Official leaderboard | |
| 22 | Claude Opus 4.8 | 71.4% | May 2026 | Official leaderboard | |
| 23 | GLM-5 | 71.2% | Feb 2026 | Official leaderboard | |
| 24 | | 70.7% | Sep 2026 | Official leaderboard | |
| 25 | Claude Opus 5 | 70.2% | Jul 2026 | Official leaderboard | |
| 26 | Claude Fable 5 | 69.4% | Jun 2026 | Official leaderboard | |
| 27 | | 69% | Aug 2026 | Official leaderboard | |
| 28 | | 68.8% | Feb 2026 | Official leaderboard | |
| 29 | | 68.6% | Sep 2026 | Official leaderboard | |
| 30 | Claude Sonnet 5 | 68% | Jun 2026 | Official leaderboard | |
| 31 | GPT-6 Sol | 68% | Sep 2026 | Official leaderboard | |
| 32 | | 67.7% | Jun 2026 | Official leaderboard | |
| 33 | | 66.9% | May 2026 | Official leaderboard | |
| 34 | GPT-6 Luna | 66.7% | Sep 2026 | Official leaderboard | |
| 35 | GPT-6.1 Terra | 65.9% | Oct 2026 | Official leaderboard | |
| 36 | gpt-oss-120b | 63.7% | Aug 2025 | Official leaderboard | |
| 37 | | 63.5% | Aug 2026 | Official leaderboard | |
| 38 | | 62.1% | Jun 2026 | Official leaderboard | |
| 39 | | 59.1% | Feb 2024 | Official leaderboard | |
| 40 | | 58.8% | Dec 2025 | Official leaderboard | |
| 41 | Grok 4.7 | 52.4% | Sep 2026 | Official leaderboard | |
| 42 | | 41.3% | Apr 2025 | Official leaderboard |
Number one over time
Lab claims count from the day the card came out, independent runs from the model’s release.
The best score passed 85% in Aug 2026
All the scores we have, one dot each, so a model tested at several settings appears more than once.
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.
More in Safety and alignment
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- 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%