BullshitBench V2
Models answer 100 nonsense questions across software, finance, legal, medical and physics, built with 13 techniques. A three-judge panel scores clear pushback.
Released 2026-03-01 with a new question set, so scores do not compare with V1. 236 model variants by 2026-10-13.
- 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.
2 models share the top score of 95%
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. Every run is in the next chart. Names in gray aren't in our model list: fine-tunes, agent systems, products and older models. They don't count toward leaders.
- 95.0 Claude Opus 4.8
- 95.0
Qwen 3.8 Max
- 91.0 Claude Sonnet 4.6
- 90.0 Claude Opus 4.5
- 87.0 Claude Opus 4.6
- 86.5 Claude Fable 5.1
- 83.6 Claude Fable 5
- 83.0 Claude Opus 4.7
- 80.8 Claude Sonnet 5
- 80.2 Claude Opus 5
- 80.0
Mistral Large 4
- 79.0 Claude Sonnet 4.5
- 79.0
Qwen 3.8 27B
- 78.0
Qwen3.5 397B-A17B
- 77.0 Claude Haiku 4.5
- 74.0 Kimi K3
- 72.0
Qwen 3.6 Plus
- 72.0
Qwen3.7-Max
- 72.0 GLM-5.3
- 69.2 Claude Opus 5.5
- 69.0 GPT-6 Astra
- 67.0 Grok 4.20 Multi-agent
- 66.0
Gemini 3.5 Flash-Lite
- 66.0 Grok 4.6
- 66.0
Gemini 4 Argon
- 65.0 stealth/ox-alpha
- 65.0 Kimi K2.6
- 65.0 GPT-6.1 Sol
- 64.0
MiniMax-M3
- 63.0
Qwen3-Max
- 62.0 MiMo-V2.5-Pro
- 60.0 Claude Sonnet 5.5
- 59.0 openai/gpt-6-luna-pro
- 59.0 GPT-6 Luna
- 59.0 GPT-6 Sol
- 57.6 Claude Haiku 5.5
- 57.6
Muse Wonder
- 57.0 openai/gpt-6-sol-pro
- 57.0
DeepSeek V4.1 Flash
- 56.0 Grok 4.20
- 55.0 Grok 4.5
- 54.0
Nemotron 3 Super
- 54.0 GPT-5.6 Terra
- 52.0 Kimi K2.5
- 50.0 Claude 3.5 Haiku
- 50.0 Grok 4.3
- 50.0
Muse Spark 1.2
- 49.0 Claude 3.7 Sonnet
- 49.0
Nemotron 3 Ultra
- 48.0
Gemini 3 Pro
- 48.0 GPT-5.4
- 48.0 GPT-5.6 Sol
- 47.0 GPT-5.5
- 46.0 Claude 3.5 Sonnet
- 45.0 GPT-5.1 Instant
- 45.0 GPT-5.2 Codex
- 43.0 openrouter/hunter-alpha
- 43.0 Claude Opus 4.1
- 41.0 GPT-5.6 Luna
- 40.0 GPT-5.3 Instant
- 39.0 GPT-5-Codex
- 39.0
Gemini 3.6 Flash
- 39.0
DeepSeek V4 Flash 0731
- 38.0 GPT-5.2
- 37.0 openrouter/healer-alpha
- 37.0
Gemini 3.1 Pro
- 36.0 GPT-5.5 Pro
- 35.0 MiMo-V2.5
- 35.0
DeepSeek V4 Pro 0813
- 35.0
Gemini 3.7 Flash
- 34.0 openai/gpt-5.5-chat
- 34.0 Claude Opus 4
- 32.0 GPT-5.1-Codex
- 32.0 GPT-5.4 Mini
- 31.0 GLM-5-Turbo
- 31.0 GLM-5.2
- 30.0 Claude Sonnet 4
- 29.0
Llama 4 Maverick
- 28.0
Nemotron 3 Nano 30B-A3B
- 28.0 GLM-5
- 27.0 GPT-5.2 Instant
- 26.0 o3
- 25.0 GPT-5.1
- 25.0
Gemma 4 31B IT
- 24.0 GPT-5.3 Codex
- 22.0
Step 3.5 Flash
- 22.0 GLM-5.1
- 22.0
Laguna S 2.1
- 21.0 GPT-5
- 21.0
Gemma 4 26B A4B
- 20.0
Llama 4 Scout
- 20.0
Gemini 2.5 Pro
- 20.0
Qwen3-Coder-480B-A35B
- 20.0
Gemini 3.5 Flash
- 19.0
Gemini 2.5 Flash
- 19.0 Grok 4.1 Fast
- 18.0 GPT-5 Chat
- 18.0
DeepSeek-V4-Flash
- 17.0
Trinity Large Thinking
- 16.0 MiMo-V2-Flash
- 16.0
Tencent Hy3 preview
- 15.0
Gemini 2.0 Flash
- 14.0
Llama 3.1-8B
- 14.0 GPT-4.1
- 14.0 GPT-5.4 Nano
- 14.0
DeepSeek-V4-Pro
- 13.0
DeepSeek-V3.2
- 12.0 GPT-4o
- 12.0 gpt-oss-120b
- 11.0 baidu/ernie-4.5-vl-424b-a47b
- 11.0
Doubao-Seed-1.6
- 11.0
Gemini 3.1 Flash-Lite
- 10.0 Claude 3 Haiku
- 10.0 Kimi K2
- 10.0
Gemini 3 Flash
- 9.00
MiniMax-M2.5
- 8.00 o4-mini
- 8.00
DeepSeek-R1
- 8.00 GLM-4.5
- 8.00
MiniMax-M2.7
- 7.00 INTELLECT-3
- 6.00
Qwen3-235B-A22B
- 6.00
Mistral Small 4
- 5.00 Jamba 1.7 Large
- 5.00 nvidia-nemotron-nano-9b-v2
- 4.00 deepseek/deepseek-chat
- 4.00
ERNIE-4.5-300B-A47B
- 3.00
Gemma 3 27B
- 2.00 GPT-4o mini
- 2.00
Mistral Large 3
- 1 Claude Opus 4.8 none 95%
- 2
Qwen 3.8 Max minimal 95%
- 3 Claude Sonnet 4.6 high 91%
- 4 Claude Opus 4.5 high 90%
- 5 Claude Opus 4.6 high 87%
- 6 Claude Fable 5.1 low 86.5%
- 7 Claude Fable 5 xhigh 83.6%
- 8 Claude Opus 4.7 none 83%
- 9 Claude Sonnet 5 low 80.8%
- 10 Claude Opus 5 low 80.2%
- 11
Mistral Large 4 none 80%
- 12 Claude Sonnet 4.5 high 79%
- 13
Qwen 3.8 27B none 79%
- 14
Qwen3.5 397B-A17B high 78%
- 15 Claude Haiku 4.5 high 77%
- 16 Kimi K3 xhigh 74%
- 17
Qwen 3.6 Plus none 72%
- 18
Qwen3.7-Max none 72%
- 19 GLM-5.3 minimal 72%
- 20 Claude Opus 5.5 low 69.2%
- 21 GPT-6 Astra max 69%
- 22 Grok 4.20 Multi-agent low 67%
- 23
Gemini 3.5 Flash-Lite minimal 66%
- 24 Grok 4.6 minimal 66%
- 25
Gemini 4 Argon low 66%
- 26 stealth/ox-alpha low 65%
- 27 Kimi K2.6 none 65%
- 28 GPT-6.1 Sol low 65%
- 29
MiniMax-M3 xhigh 64%
- 30
Qwen3-Max high 63%
- 31 MiMo-V2.5-Pro xhigh 62%
- 32 Claude Sonnet 5.5 low 60%
- 33 openai/gpt-6-luna-pro max 59%
- 34 GPT-6 Luna none 59%
- 35 GPT-6 Sol none 59%
- 36 Claude Haiku 5.5 max 57.6%
- 37
Muse Wonder minimal 57.6%
- 38 openai/gpt-6-sol-pro max 57%
- 39
DeepSeek V4.1 Flash max 57%
- 40 Grok 4.20 low 56%
- 41 Grok 4.5 high 55%
- 42
Nemotron 3 Super xhigh 54%
- 43 GPT-5.6 Terra max 54%
- 44 Kimi K2.5 none 52%
- 45 Claude 3.5 Haiku 50%
- 46 Grok 4.3 minimal 50%
- 47
Muse Spark 1.2 minimal 50%
- 48 Claude 3.7 Sonnet thinking 49%
- 49
Nemotron 3 Ultra none 49%
- 50
Gemini 3 Pro low 48%
- 51 GPT-5.4 none 48%
- 52 GPT-5.6 Sol low 48%
- 53 GPT-5.5 xhigh 47%
- 54 Claude 3.5 Sonnet 46%
- 55 GPT-5.1 Instant 45%
- 56 GPT-5.2 Codex low 45%
- 57 openrouter/hunter-alpha none 43%
- 58 Claude Opus 4.1 none 43%
- 59 GPT-5.6 Luna max 41%
- 60 GPT-5.3 Instant 40%
- 61 GPT-5-Codex 39%
- 62
Gemini 3.6 Flash minimal 39%
- 63
DeepSeek V4 Flash 0731 xhigh 39%
- 64 GPT-5.2 none 38%
- 65 openrouter/healer-alpha none 37%
- 66
Gemini 3.1 Pro low 37%
- 67 GPT-5.5 Pro xhigh 36%
- 68 MiMo-V2.5 xhigh 35%
- 69
DeepSeek V4 Pro 0813 max 35%
- 70
Gemini 3.7 Flash minimal 35%
- 71 openai/gpt-5.5-chat 34%
- 72 Claude Opus 4 34%
- 73 GPT-5.1-Codex 32%
- 74 GPT-5.4 Mini high 32%
- 75 GLM-5-Turbo high 31%
- 76 GLM-5.2 xhigh 31%
- 77 Claude Sonnet 4 high 30%
- 78
Llama 4 Maverick 29%
- 79
Nemotron 3 Nano 30B-A3B none 28%
- 80 GLM-5 high 28%
- 81 GPT-5.2 Instant 27%
- 82 o3 26%
- 83 GPT-5.1 25%
- 84
Gemma 4 31B IT high 25%
- 85 GPT-5.3 Codex low 24%
- 86
Step 3.5 Flash xhigh 22%
- 87 GLM-5.1 xhigh 22%
- 88
Laguna S 2.1 none 22%
- 89 GPT-5 21%
- 90
Gemma 4 26B A4B xhigh 21%
- 91
Llama 4 Scout 20%
- 92
Gemini 2.5 Pro Jun 2025 20%
- 93
Qwen3-Coder-480B-A35B 20%
- 94
Gemini 3.5 Flash xhigh 20%
- 95
Gemini 2.5 Flash Sep 2025 19%
- 96 Grok 4.1 Fast high 19%
- 97 GPT-5 Chat 18%
- 98
DeepSeek-V4-Flash none 18%
- 99
Trinity Large Thinking minimal 17%
- 100 MiMo-V2-Flash none 16%
- 101
Tencent Hy3 preview none 16%
- 102
Gemini 2.0 Flash Feb 2025 15%
- 103
Llama 3.1-8B 14%
- 104 GPT-4.1 14%
- 105 GPT-5.4 Nano high 14%
- 106
DeepSeek-V4-Pro xhigh 14%
- 107
DeepSeek-V3.2 high 13%
- 108 GPT-4o Aug 2024 12%
- 109 gpt-oss-120b low 12%
- 110 baidu/ernie-4.5-vl-424b-a47b xhigh 11%
- 111
Doubao-Seed-1.6 none 11%
- 112
Gemini 3.1 Flash-Lite 11%
- 113 Claude 3 Haiku 10%
- 114 Kimi K2 Sep 2025 10%
- 115
Gemini 3 Flash high 10%
- 116
MiniMax-M2.5 low 9.00%
- 117 o4-mini low 8.00%
- 118
DeepSeek-R1 May 2025, xhigh 8.00%
- 119 GLM-4.5 xhigh 8.00%
- 120
MiniMax-M2.7 high 8.00%
- 121 INTELLECT-3 low 7.00%
- 122
Qwen3-235B-A22B none 6.00%
- 123
Mistral Small 4 high 6.00%
- 124 Jamba 1.7 Large 5.00%
- 125 nvidia-nemotron-nano-9b-v2 none 5.00%
- 126 deepseek/deepseek-chat 4.00%
- 127
ERNIE-4.5-300B-A47B 4.00%
- 128
Gemma 3 27B 3.00%
- 129 GPT-4o mini 2.00%
- 130
Mistral Large 3 2.00%
| # | Entry | Score | Setting | Date | Source |
|---|---|---|---|---|---|
| 1 | Claude Opus 4.8 | 95% | none | May 2026 | Official leaderboard |
| 2 | | 95% | minimal | Aug 2026 | Official leaderboard |
| 3 | Claude Sonnet 4.6 | 91% | high | Feb 2026 | Official leaderboard |
| 4 | Claude Opus 4.5 | 90% | high | Nov 2025 | Official leaderboard |
| 5 | Claude Opus 4.6 | 87% | high | Feb 2026 | Official leaderboard |
| 6 | Claude Fable 5.1 | 86.5% | low | Sep 2026 | Official leaderboard |
| 7 | Claude Fable 5 | 83.6% | xhigh | Jun 2026 | Official leaderboard |
| 8 | Claude Opus 4.7 | 83% | none | Apr 2026 | Official leaderboard |
| 9 | Claude Sonnet 5 | 80.8% | low | Jun 2026 | Official leaderboard |
| 10 | Claude Opus 5 | 80.2% | low | Jul 2026 | Official leaderboard |
| 11 | | 80% | none | Oct 2026 | Official leaderboard |
| 12 | Claude Sonnet 4.5 | 79% | high | Sep 2025 | Official leaderboard |
| 13 | | 79% | none | Aug 2026 | Official leaderboard |
| 14 | | 78% | high | Feb 2026 | Official leaderboard |
| 15 | Claude Haiku 4.5 | 77% | high | Oct 2025 | Official leaderboard |
| 16 | Kimi K3 | 74% | xhigh | Jul 2026 | Official leaderboard |
| 17 | | 72% | none | Mar 2026 | Official leaderboard |
| 18 | | 72% | none | May 2026 | Official leaderboard |
| 19 | GLM-5.3 | 72% | minimal | Aug 2026 | Official leaderboard |
| 20 | Claude Opus 5.5 | 69.2% | low | Sep 2026 | Official leaderboard |
| 21 | GPT-6 Astra | 69% | max | Sep 2026 | Official leaderboard |
| 22 | Grok 4.20 Multi-agent | 67% | low | Mar 2026 | Official leaderboard |
| 23 | | 66% | minimal | Jul 2026 | Official leaderboard |
| 24 | Grok 4.6 | 66% | minimal | Aug 2026 | Official leaderboard |
| 25 | | 66% | low | Sep 2026 | Official leaderboard |
| 26 | stealth/ox-alpha | 65% | low | Official leaderboard | |
| 27 | Kimi K2.6 | 65% | none | Apr 2026 | Official leaderboard |
| 28 | GPT-6.1 Sol | 65% | low | Sep 2026 | Official leaderboard |
| 29 | | 64% | xhigh | Jun 2026 | Official leaderboard |
| 30 | | 63% | high | Sep 2025 | Official leaderboard |
| 31 | MiMo-V2.5-Pro | 62% | xhigh | Apr 2026 | Official leaderboard |
| 32 | Claude Sonnet 5.5 | 60% | low | Sep 2026 | Official leaderboard |
| 33 | openai/gpt-6-luna-pro | 59% | max | Official leaderboard | |
| 34 | GPT-6 Luna | 59% | none | Sep 2026 | Official leaderboard |
| 35 | GPT-6 Sol | 59% | none | Sep 2026 | Official leaderboard |
| 36 | Claude Haiku 5.5 | 57.6% | max | Oct 2026 | Official leaderboard |
| 37 | | 57.6% | minimal | Oct 2026 | Official leaderboard |
| 38 | openai/gpt-6-sol-pro | 57% | max | Official leaderboard | |
| 39 | | 57% | max | Sep 2026 | Official leaderboard |
| 40 | Grok 4.20 | 56% | low | Feb 2026 | Official leaderboard |
| 41 | Grok 4.5 | 55% | high | Jul 2026 | Official leaderboard |
| 42 | | 54% | xhigh | Mar 2026 | Official leaderboard |
| 43 | GPT-5.6 Terra | 54% | max | Jul 2026 | Official leaderboard |
| 44 | Kimi K2.5 | 52% | none | Jan 2026 | Official leaderboard |
| 45 | Claude 3.5 Haiku | 50% | Oct 2024 | Official leaderboard | |
| 46 | Grok 4.3 | 50% | minimal | Apr 2026 | Official leaderboard |
| 47 | | 50% | minimal | Aug 2026 | Official leaderboard |
| 48 | Claude 3.7 Sonnet | 49% | thinking | Feb 2025 | Official leaderboard |
| 49 | | 49% | none | Jun 2026 | Official leaderboard |
| 50 | | 48% | low | Nov 2025 | Official leaderboard |
| 51 | GPT-5.4 | 48% | none | Mar 2026 | Official leaderboard |
| 52 | GPT-5.6 Sol | 48% | low | Jul 2026 | Official leaderboard |
| 53 | GPT-5.5 | 47% | xhigh | Apr 2026 | Official leaderboard |
| 54 | Claude 3.5 Sonnet | 46% | Jun 2024 | Official leaderboard | |
| 55 | GPT-5.1 Instant | 45% | Nov 2025 | Official leaderboard | |
| 56 | GPT-5.2 Codex | 45% | low | Dec 2025 | Official leaderboard |
| 57 | openrouter/hunter-alpha | 43% | none | Official leaderboard | |
| 58 | Claude Opus 4.1 | 43% | none | Aug 2025 | Official leaderboard |
| 59 | GPT-5.6 Luna | 41% | max | Jul 2026 | Official leaderboard |
| 60 | GPT-5.3 Instant | 40% | Mar 2026 | Official leaderboard | |
| 61 | GPT-5-Codex | 39% | Sep 2025 | Official leaderboard | |
| 62 | | 39% | minimal | Jul 2026 | Official leaderboard |
| 63 | | 39% | xhigh | Jul 2026 | Official leaderboard |
| 64 | GPT-5.2 | 38% | none | Dec 2025 | Official leaderboard |
| 65 | openrouter/healer-alpha | 37% | none | Official leaderboard | |
| 66 | | 37% | low | Feb 2026 | Official leaderboard |
| 67 | GPT-5.5 Pro | 36% | xhigh | Apr 2026 | Official leaderboard |
| 68 | MiMo-V2.5 | 35% | xhigh | Apr 2026 | Official leaderboard |
| 69 | | 35% | max | Aug 2026 | Official leaderboard |
| 70 | | 35% | minimal | Aug 2026 | Official leaderboard |
| 71 | openai/gpt-5.5-chat | 34% | Official leaderboard | ||
| 72 | Claude Opus 4 | 34% | May 2025 | Official leaderboard | |
| 73 | GPT-5.1-Codex | 32% | Nov 2025 | Official leaderboard | |
| 74 | GPT-5.4 Mini | 32% | high | Mar 2026 | Official leaderboard |
| 75 | GLM-5-Turbo | 31% | high | Mar 2026 | Official leaderboard |
| 76 | GLM-5.2 | 31% | xhigh | Jun 2026 | Official leaderboard |
| 77 | Claude Sonnet 4 | 30% | high | May 2025 | Official leaderboard |
| 78 | | 29% | Apr 2025 | Official leaderboard | |
| 79 | | 28% | none | Dec 2025 | Official leaderboard |
| 80 | GLM-5 | 28% | high | Feb 2026 | Official leaderboard |
| 81 | GPT-5.2 Instant | 27% | Dec 2025 | Official leaderboard | |
| 82 | o3 | 26% | Apr 2025 | Official leaderboard | |
| 83 | GPT-5.1 | 25% | Nov 2025 | Official leaderboard | |
| 84 | | 25% | high | Apr 2026 | Official leaderboard |
| 85 | GPT-5.3 Codex | 24% | low | Feb 2026 | Official leaderboard |
| 86 | | 22% | xhigh | Feb 2026 | Official leaderboard |
| 87 | GLM-5.1 | 22% | xhigh | Apr 2026 | Official leaderboard |
| 88 | | 22% | none | Jul 2026 | Official leaderboard |
| 89 | GPT-5 | 21% | Aug 2025 | Official leaderboard | |
| 90 | | 21% | xhigh | Apr 2026 | Official leaderboard |
| 91 | | 20% | Apr 2025 | Official leaderboard | |
| 92 | | 20% | Jun 2025 | Official leaderboard | |
| 93 | | 20% | Jul 2025 | Official leaderboard | |
| 94 | | 20% | xhigh | May 2026 | Official leaderboard |
| 95 | | 19% | Sep 2025 | Official leaderboard | |
| 96 | Grok 4.1 Fast | 19% | high | Nov 2025 | Official leaderboard |
| 97 | GPT-5 Chat | 18% | Aug 2025 | Official leaderboard | |
| 98 | | 18% | none | Apr 2026 | Official leaderboard |
| 99 | | 17% | minimal | Apr 2026 | Official leaderboard |
| 100 | MiMo-V2-Flash | 16% | none | Dec 2025 | Official leaderboard |
| 101 | | 16% | none | Apr 2026 | Official leaderboard |
| 102 | | 15% | Feb 2025 | Official leaderboard | |
| 103 | | 14% | Jul 2024 | Official leaderboard | |
| 104 | GPT-4.1 | 14% | Apr 2025 | Official leaderboard | |
| 105 | GPT-5.4 Nano | 14% | high | Mar 2026 | Official leaderboard |
| 106 | | 14% | xhigh | Apr 2026 | Official leaderboard |
| 107 | | 13% | high | Dec 2025 | Official leaderboard |
| 108 | GPT-4o Aug 2024 | 12% | Aug 2024 | Official leaderboard | |
| 109 | gpt-oss-120b | 12% | low | Aug 2025 | Official leaderboard |
| 110 | baidu/ernie-4.5-vl-424b-a47b | 11% | xhigh | Official leaderboard | |
| 111 | | 11% | none | Jun 2025 | Official leaderboard |
| 112 | | 11% | Mar 2026 | Official leaderboard | |
| 113 | Claude 3 Haiku | 10% | Mar 2024 | Official leaderboard | |
| 114 | Kimi K2 Sep 2025 | 10% | Sep 2025 | Official leaderboard | |
| 115 | | 10% | high | Dec 2025 | Official leaderboard |
| 116 | | 9.00% | low | Feb 2026 | Official leaderboard |
| 117 | o4-mini | 8.00% | low | Apr 2025 | Official leaderboard |
| 118 | | 8.00% | xhigh | May 2025 | Official leaderboard |
| 119 | GLM-4.5 | 8.00% | xhigh | Aug 2025 | Official leaderboard |
| 120 | | 8.00% | high | Mar 2026 | Official leaderboard |
| 121 | INTELLECT-3 | 7.00% | low | Nov 2025 | Official leaderboard |
| 122 | | 6.00% | none | Apr 2025 | Official leaderboard |
| 123 | | 6.00% | high | Mar 2026 | Official leaderboard |
| 124 | Jamba 1.7 Large | 5.00% | Jul 2025 | Official leaderboard | |
| 125 | nvidia-nemotron-nano-9b-v2 | 5.00% | none | Aug 2025 | Official leaderboard |
| 126 | deepseek/deepseek-chat | 4.00% | Official leaderboard | ||
| 127 | | 4.00% | Jun 2025 | Official leaderboard | |
| 128 | | 3.00% | Mar 2025 | Official leaderboard | |
| 129 | GPT-4o mini | 2.00% | Jul 2024 | Official leaderboard | |
| 130 | | 2.00% | Dec 2025 | Official leaderboard |
Scores at each effort level
Models the leaderboard ran at two or more effort levels. We don’t have enough cost data here to say what the extra effort costs.
2 models have held number one since its release in Mar 2026
Lab claims count from the day the card came out, independent runs from the model’s release.
The best score passed 85% in Nov 2025
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.
Versions
We switch the top row to each new version when it comes out. Open it for one row per version. An old version stays in play while people still test it, so whoever first takes it past 85% gets credit for closing it out.
More in Factuality
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Qwen3.7-Plus 81.7%
- HallusionBench In use Models answer 1,129 yes or no questions about 346 images, built in pairs to expose language hallucination and visual illusion. Scored by accuracy.
Keye-VL-2.0-30B-A3B 73.5%
- SimpleQA Verified In use 1,000 human-verified, de-duplicated short-answer factual questions measuring parametric knowledge.
Gemini 3.1 Pro 77.5%
- GaRAGe In use Models write long-form RAG answers to 2,366 questions with human-annotated grounding passages. Scoring checks whether answers use the relevant passages.
Nemotron 3.5 Bolt E4B 40.7%
- Kimi Hallu Bench In use Models answer hard prompts drawn from practical work tasks. Fact-checking agents score the share of claims that are hallucinated. Kimi K3.1 Pro 8.30%
- RAGTruth In use A word-level annotated corpus of hallucinations in retrieval-augmented generation answers. It is used to train and evaluate hallucination detection and RAG faithfulness.
Nemotron 3.5 Bolt E4B 77.9%