Vectara Hallucination Leaderboard (HHEM)
Models summarize short documents. The HHEM-2.1-Open classifier flags summaries that add unsupported facts, giving a hallucination rate.
Labs often report one minus the hallucination rate so that higher is better. The judge moved from HHEM-1.0 to HHEM-2.x in 2024-08. Vectara replaced the 1,000 article set in 2025-11.
- 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.
falcon-7B-instruct tops the leaderboard with 29.9%
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. The best model we track is Gemma 1.1 2B IT, at 27.8%.
The newest model with a score here came out in Oct 2025, and nobody has tested a newer one. Among the 20 highest-ranked models on the capability index, these have no score yet:
- GPT-6 Astra
- Claude Opus 5.5
- GPT-6.1 Terra
- GPT-6.1 Sol
- and 16 more
- 29.9 falcon-7B-instruct
- 27.8
Gemma 1.1 2B IT
- 25.2
Qwen2.5-0.5B
- 24.8 OpenELM-3B-Instruct
- 20.7
Llama 3.2 1B
- 20.1
Mixtral 8x7B
- 18.3 Flan-T5-large
- 17.4 Claude 2
- 17.0
Gemma 1.1 7B IT
- 16.5 Granite-3.2-2B-Instruct
- 16.3 Claude 3 Sonnet
- 16.1
QwQ-32B-Preview
- 15.8
Qwen2.5-1.5B
- 15.7 Granite-3.1-2B-Instruct
- 14.8
Gemma 7B
- 14.3
DeepSeek-R1
- 14.1 PaLM-2
- 13.5 Titan-Express
- 12.2
Aya Expanse 8B
- 11.7
WizardLM-2 8x22B
- 11.4
Mistral Medium 3.1
- 11.3
Llama 2-7B
- 11.2
Mistral NeMo
- 11.1 OLMo-2-7B-Instruct
- 10.8 OLMo-2-13B-Instruct
- 10.5
Llama 2-13B
- 10.1 Claude 3 Opus
- 10.1
Gemma 2 9B
- 9.50
Mistral 7B v0.3
- 9.10
Gemini 1.5 Pro
- 8.80 Granite-3.0-2B-Instruct
- 8.70 Granite 3.2 8B Instruct
- 8.60 Mistral-Small2
- 8.60 Granite-3.1-8B-Instruct
- 8.50
Aya Expanse 32B
- 8.40 Granite-4.0-h-micro
- 8.30
DBRX
- 8.30
Qwen2-VL-2B-Instruct
- 8.30
Ministral 3B
- 8.00
DeepSeek-V3
- 7.90
Yi-1.5-6B-Chat
- 7.90
Llama 3.2 3B
- 7.70
Gemini 1.0 Pro
- 7.70
DeepSeek-R1
- 7.50
Ministral 8B
- 7.40
Llama 3-8B
- 7.30 Granite-4.0-h-tiny
- 7.00
Gemma 2 2B IT
- 7.00
Qwen2.5-3B
- 6.80 o3
- 6.80 o4-mini
- 6.70
Phi-2
- 6.60 Mistral-Pixtral
- 6.60
Gemini 1.5 Flash
- 6.50 Granite-3.0-8B-Instruct
- 6.50 granite-4.0-micro
- 6.20 Kimi K2
- 5.90
Llama 2-70B
- 5.60
Mistral Small 3.1
- 5.50 DeepSeek-TNG-R1T2-Chimera
- 5.50
Llama 3.2 11B
- 5.50
DeepSeek-V3.1
- 5.50 Claude Sonnet 4.5
- 5.40
Llama 3.1-8B
- 5.40
Command R+
- 5.30
Gemma 3 1B
- 5.00
Llama 3.1-70B
- 4.90
Command R (03-2024)
- 4.90
Yi-1.5-9B-Chat
- 4.90 Claude 3.5 Haiku
- 4.90 GPT-5
- 4.80 Claude Opus 4
- 4.80 Grok 4
- 4.80
Qwen3-30B-A3B-Thinking
- 4.70
Mixtral 8x22B
- 4.70
Qwen2-72B
- 4.70
Phi-4
- 4.70
Llama 4 Scout
- 4.70 GPT-5 nano
- 4.60 Grok
- 4.60 Claude 3.5 Sonnet
- 4.60 Jamba 1.6 Mini
- 4.60
Llama 4 Maverick
- 4.60
DeepSeek-V3.2-Exp
- 4.50 Claude 3.7 Sonnet
- 4.50
Cohere Command A
- 4.50 Claude Sonnet 4
- 4.50 Claude Haiku 4.5
- 4.40
Qwen3-1.7B
- 4.30
Qwen2.5-72B
- 4.30
Llama 3.2 90B
- 4.30 GLM-4.6
- 4.20 Qwen2-VL-7B-Instruct
- 4.20
Qwen2.5-14B
- 4.20 Claude Opus 4.1
- 4.10
Llama 3-70B
- 4.10
Phi-3.5-mini
- 4.10
Mistral Large 2
- 4.00
phi-3-mini 3.8B
- 4.00
Llama 3.3 70B Instruct
- 4.00
InternLM3-8B-Instruct
- 3.90
Llama 3.1-405B
- 3.90
DeepSeek-V3
- 3.80
Qwen3-Max
- 3.70
Yi-1.5-34B
- 3.70
Gemma 3 4B
- 3.70
Qwen3-0.6B
- 3.70 GLM-4.5
- 3.70 gpt-oss-20b
- 3.70
Qwen3-Next-80B-A3B
- 3.40
Phi-4 Mini
- 3.30 o1-preview
- 3.30 Grok-3 mini
- 3.20 GPT-5 mini
- 3.10
Phi-3-mini-128k-instruct
- 3.10
Mistral Small 3
- 3.00
Snowflake Arctic Instruct
- 3.00
Qwen2.5-32B
- 3.00
Gemma 3 27B
- 3.00
Qwen3-8B
- 2.90 Jamba 1.5 Mini
- 2.90 Grok 2 Vision (1212)
- 2.90
Qwen2.5-Max
- 2.90
Gemini 2.5 Flash-Lite
- 2.80
Qwen2.5-7B
- 2.80
Gemma 3 12B
- 2.80
Qwen3-32B
- 2.70
Qwen3-4B
- 2.60 Neural-Chat-7B-v3-3
- 2.60
Gemini 2.5 Pro
- 2.50 Orca-2-13b
- 2.50
Phi-3.5-MoE
- 2.40
DeepSeek-V2.5
- 2.40 o1
- 2.40 o1-pro
- 2.40 gpt-oss-120b
- 2.30 Jamba 1.6 Large
- 2.20 GPT-4.1 mini
- 2.20
Qwen3-14B
- 2.10 Grok 3
- 2.00 GPT-4.1
- 2.00 GPT-4.1 nano
- 1.90 GPT-3.5 Turbo
- 1.90 Grok-2
- 1.90 GLM-4.5-Air
- 1.80 GPT-4
- 1.80
Amazon Nova Lite
- 1.80
Amazon Nova Pro
- 1.80
Gemini 2.0 Flash Thinking
- 1.70 GPT-4 Turbo
- 1.70 GPT-4o mini
- 1.60
Amazon Nova Micro
- 1.50 GPT-4o
- 1.40 o1-mini
- 1.30 GLM-4-9B-Chat
- 1.30
Gemini 2.0 Flash
- 1.30
Gemini 2.5 Flash
- 1.20
Gemini 2.0 Flash-Lite
- 1.20 GPT-4.5
- 1.10
Gemini 2.5 Pro
- 1.10 Kimi K2
- 0.90 Mockingbird-2-Echo
- 0.80 o3-mini
- 0.80
Gemini 2.0 Pro
- 0.70
Gemini 2.0 Flash
- 0.60 Finix-S1-32B
- 1 falcon-7B-instruct 29.9%
- 2
Gemma 1.1 2B IT 27.8%
- 3
Qwen2.5-0.5B 25.2%
- 4 OpenELM-3B-Instruct 24.8%
- 5
Llama 3.2 1B 20.7%
- 6
Mixtral 8x7B 20.1%
- 7 Flan-T5-large 18.3%
- 8 Claude 2 17.4%
- 9
Gemma 1.1 7B IT 17%
- 10 Granite-3.2-2B-Instruct 16.5%
- 11 Claude 3 Sonnet 16.3%
- 12
QwQ-32B-Preview 16.1%
- 13
Qwen2.5-1.5B 15.8%
- 14 Granite-3.1-2B-Instruct 15.7%
- 15
Gemma 7B 14.8%
- 16
DeepSeek-R1 14.3%
- 17 PaLM-2 14.1%
- 18 Titan-Express 13.5%
- 19
Aya Expanse 8B 12.2%
- 20
WizardLM-2 8x22B 11.7%
- 21
Mistral Medium 3.1 11.4%
- 22
Llama 2-7B 11.3%
- 23
Mistral NeMo 11.2%
- 24 OLMo-2-7B-Instruct 11.1%
- 25 OLMo-2-13B-Instruct 10.8%
- 26
Llama 2-13B 10.5%
- 27 Claude 3 Opus 10.1%
- 28
Gemma 2 9B 10.1%
- 29
Mistral 7B v0.3 9.50%
- 30
Gemini 1.5 Pro Sep 2024 9.10%
- 31 Granite-3.0-2B-Instruct 8.80%
- 32 Granite 3.2 8B Instruct 8.70%
- 33 Mistral-Small2 8.60%
- 34 Granite-3.1-8B-Instruct 8.60%
- 35
Aya Expanse 32B 8.50%
- 36 Granite-4.0-h-micro 8.40%
- 37
DBRX 8.30%
- 38
Qwen2-VL-2B-Instruct 8.30%
- 39
Ministral 3B 8.30%
- 40
DeepSeek-V3 Mar 2025 8.00%
- 41
Yi-1.5-6B-Chat 7.90%
- 42
Llama 3.2 3B 7.90%
- 43
Gemini 1.0 Pro 7.70%
- 44
DeepSeek-R1 May 2025 7.70%
- 45
Ministral 8B 7.50%
- 46
Llama 3-8B 7.40%
- 47 Granite-4.0-h-tiny 7.30%
- 48
Gemma 2 2B IT 7.00%
- 49
Qwen2.5-3B 7.00%
- 50 o3 6.80%
- 51 o4-mini low 6.80%
- 52
Phi-2 6.70%
- 53 Mistral-Pixtral 6.60%
- 54
Gemini 1.5 Flash Sep 2024 6.60%
- 55 Granite-3.0-8B-Instruct 6.50%
- 56 granite-4.0-micro 6.50%
- 57 Kimi K2 Sep 2025 6.20%
- 58
Llama 2-70B 5.90%
- 59
Mistral Small 3.1 5.60%
- 60 DeepSeek-TNG-R1T2-Chimera 5.50%
- 61
Llama 3.2 11B 5.50%
- 62
DeepSeek-V3.1 5.50%
- 63 Claude Sonnet 4.5 5.50%
- 64
Llama 3.1-8B 5.40%
- 65
Command R+ 5.40%
- 66
Gemma 3 1B 5.30%
- 67
Llama 3.1-70B 5.00%
- 68
Command R (03-2024) 4.90%
- 69
Yi-1.5-9B-Chat 4.90%
- 70 Claude 3.5 Haiku 4.90%
- 71 GPT-5 minimal 4.90%
- 72 Claude Opus 4 4.80%
- 73 Grok 4 4.80%
- 74
Qwen3-30B-A3B-Thinking Jul 2025 4.80%
- 75
Mixtral 8x22B 4.70%
- 76
Qwen2-72B 4.70%
- 77
Phi-4 4.70%
- 78
Llama 4 Scout 4.70%
- 79 GPT-5 nano 4.70%
- 80 Grok 4.60%
- 81 Claude 3.5 Sonnet 4.60%
- 82 Jamba 1.6 Mini 4.60%
- 83
Llama 4 Maverick 4.60%
- 84
DeepSeek-V3.2-Exp 4.60%
- 85 Claude 3.7 Sonnet thinking 4.50%
- 86
Cohere Command A 4.50%
- 87 Claude Sonnet 4 4.50%
- 88 Claude Haiku 4.5 4.50%
- 89
Qwen3-1.7B 4.40%
- 90
Qwen2.5-72B 4.30%
- 91
Llama 3.2 90B 4.30%
- 92 GLM-4.6 4.30%
- 93 Qwen2-VL-7B-Instruct 4.20%
- 94
Qwen2.5-14B 4.20%
- 95 Claude Opus 4.1 4.20%
- 96
Llama 3-70B 4.10%
- 97
Phi-3.5-mini 4.10%
- 98
Mistral Large 2 Nov 2024 4.10%
- 99
phi-3-mini 3.8B 4.00%
- 100
Llama 3.3 70B Instruct 4.00%
- 101
InternLM3-8B-Instruct 4.00%
- 102
Llama 3.1-405B 3.90%
- 103
DeepSeek-V3 3.90%
- 104
Qwen3-Max 3.80%
- 105
Yi-1.5-34B 3.70%
- 106
Gemma 3 4B 3.70%
- 107
Qwen3-0.6B 3.70%
- 108 GLM-4.5 3.70%
- 109 gpt-oss-20b 3.70%
- 110
Qwen3-Next-80B-A3B thinking 3.70%
- 111
Phi-4 Mini 3.40%
- 112 o1-preview 3.30%
- 113 Grok-3 mini 3.30%
- 114 GPT-5 mini 3.20%
- 115
Phi-3-mini-128k-instruct 3.10%
- 116
Mistral Small 3 3.10%
- 117
Snowflake Arctic Instruct 3.00%
- 118
Qwen2.5-32B 3.00%
- 119
Gemma 3 27B 3.00%
- 120
Qwen3-8B 3.00%
- 121 Jamba 1.5 Mini 2.90%
- 122 Grok 2 Vision (1212) 2.90%
- 123
Qwen2.5-Max 2.90%
- 124
Gemini 2.5 Flash-Lite Jun 2025 2.90%
- 125
Qwen2.5-7B 2.80%
- 126
Gemma 3 12B 2.80%
- 127
Qwen3-32B 2.80%
- 128
Qwen3-4B 2.70%
- 129 Neural-Chat-7B-v3-3 2.60%
- 130
Gemini 2.5 Pro Jun 2025 2.60%
- 131 Orca-2-13b 2.50%
- 132
Phi-3.5-MoE 2.50%
- 133
DeepSeek-V2.5 Sep 2024 2.40%
- 134 o1 2.40%
- 135 o1-pro 2.40%
- 136 gpt-oss-120b 2.40%
- 137 Jamba 1.6 Large 2.30%
- 138 GPT-4.1 mini 2.20%
- 139
Qwen3-14B 2.20%
- 140 Grok 3 2.10%
- 141 GPT-4.1 2.00%
- 142 GPT-4.1 nano 2.00%
- 143 GPT-3.5 Turbo Jan 2024 1.90%
- 144 Grok-2 Dec 2024 1.90%
- 145 GLM-4.5-Air 1.90%
- 146 GPT-4 Jun 2023 1.80%
- 147
Amazon Nova Lite 1.80%
- 148
Amazon Nova Pro 1.80%
- 149
Gemini 2.0 Flash Thinking Jan 2025 1.80%
- 150 GPT-4 Turbo Apr 2024 1.70%
- 151 GPT-4o mini 1.70%
- 152
Amazon Nova Micro 1.60%
- 153 GPT-4o Mar 2025 1.50%
- 154 o1-mini 1.40%
- 155 GLM-4-9B-Chat 1.30%
- 156
Gemini 2.0 Flash Dec 2024 1.30%
- 157
Gemini 2.5 Flash Apr 2025 1.30%
- 158
Gemini 2.0 Flash-Lite 1.20%
- 159 GPT-4.5 1.20%
- 160
Gemini 2.5 Pro Mar 2025 1.10%
- 161 Kimi K2 Jul 2025 1.10%
- 162 Mockingbird-2-Echo 0.90%
- 163 o3-mini 0.80%
- 164
Gemini 2.0 Pro 0.80%
- 165
Gemini 2.0 Flash Feb 2025 0.70%
- 166 Finix-S1-32B 0.60%
| # | Entry | Score | Setting | Date | Source |
|---|---|---|---|---|---|
| 1 | falcon-7B-instruct | 29.9% | Official leaderboard | ||
| 2 | | 27.8% | Apr 2024 | Official leaderboard | |
| 3 | | 25.2% | Sep 2024 | Official leaderboard | |
| 4 | OpenELM-3B-Instruct | 24.8% | Official leaderboard | ||
| 5 | | 20.7% | Sep 2024 | Official leaderboard | |
| 6 | | 20.1% | Dec 2023 | Official leaderboard | |
| 7 | Flan-T5-large | 18.3% | Official leaderboard | ||
| 8 | Claude 2 | 17.4% | Jul 2023 | Official leaderboard | |
| 9 | | 17% | Apr 2024 | Official leaderboard | |
| 10 | Granite-3.2-2B-Instruct | 16.5% | Official leaderboard | ||
| 11 | Claude 3 Sonnet | 16.3% | Feb 2024 | Official leaderboard | |
| 12 | | 16.1% | Nov 2024 | Official leaderboard | |
| 13 | | 15.8% | Sep 2024 | Official leaderboard | |
| 14 | Granite-3.1-2B-Instruct | 15.7% | Dec 2024 | Official leaderboard | |
| 15 | | 14.8% | Feb 2024 | Official leaderboard | |
| 16 | | 14.3% | Jan 2025 | Official leaderboard | |
| 17 | PaLM-2 | 14.1% | Official leaderboard | ||
| 18 | Titan-Express | 13.5% | Official leaderboard | ||
| 19 | | 12.2% | Oct 2024 | Official leaderboard | |
| 20 | | 11.7% | Apr 2024 | Official leaderboard | |
| 21 | | 11.4% | Aug 2025 | Official leaderboard | |
| 22 | | 11.3% | Jul 2023 | Official leaderboard | |
| 23 | | 11.2% | Jul 2024 | Official leaderboard | |
| 24 | OLMo-2-7B-Instruct | 11.1% | Official leaderboard | ||
| 25 | OLMo-2-13B-Instruct | 10.8% | Official leaderboard | ||
| 26 | | 10.5% | Jul 2023 | Official leaderboard | |
| 27 | Claude 3 Opus | 10.1% | Feb 2024 | Official leaderboard | |
| 28 | | 10.1% | Jun 2024 | Official leaderboard | |
| 29 | | 9.50% | Sep 2023 | Official leaderboard | |
| 30 | | 9.10% | Sep 2024 | Official leaderboard | |
| 31 | Granite-3.0-2B-Instruct | 8.80% | Oct 2024 | Official leaderboard | |
| 32 | Granite 3.2 8B Instruct | 8.70% | Feb 2025 | Official leaderboard | |
| 33 | Mistral-Small2 | 8.60% | Official leaderboard | ||
| 34 | Granite-3.1-8B-Instruct | 8.60% | Dec 2024 | Official leaderboard | |
| 35 | | 8.50% | Oct 2024 | Official leaderboard | |
| 36 | Granite-4.0-h-micro | 8.40% | Official leaderboard | ||
| 37 | | 8.30% | Mar 2024 | Official leaderboard | |
| 38 | | 8.30% | Aug 2024 | Official leaderboard | |
| 39 | | 8.30% | Oct 2024 | Official leaderboard | |
| 40 | | 8.00% | Mar 2025 | Official leaderboard | |
| 41 | | 7.90% | May 2024 | Official leaderboard | |
| 42 | | 7.90% | Sep 2024 | Official leaderboard | |
| 43 | | 7.70% | Dec 2023 | Official leaderboard | |
| 44 | | 7.70% | May 2025 | Official leaderboard | |
| 45 | | 7.50% | Oct 2024 | Official leaderboard | |
| 46 | | 7.40% | Apr 2024 | Official leaderboard | |
| 47 | Granite-4.0-h-tiny | 7.30% | Official leaderboard | ||
| 48 | | 7.00% | Jul 2024 | Official leaderboard | |
| 49 | | 7.00% | Sep 2024 | Official leaderboard | |
| 50 | o3 | 6.80% | Apr 2025 | Official leaderboard | |
| 51 | o4-mini | 6.80% | low | Apr 2025 | Official leaderboard |
| 52 | | 6.70% | Dec 2023 | Official leaderboard | |
| 53 | Mistral-Pixtral | 6.60% | Official leaderboard | ||
| 54 | | 6.60% | Aug 2024 | Official leaderboard | |
| 55 | Granite-3.0-8B-Instruct | 6.50% | Oct 2024 | Official leaderboard | |
| 56 | granite-4.0-micro | 6.50% | Oct 2025 | Official leaderboard | |
| 57 | Kimi K2 Sep 2025 | 6.20% | Sep 2025 | Official leaderboard | |
| 58 | | 5.90% | Jul 2023 | Official leaderboard | |
| 59 | | 5.60% | Mar 2025 | Official leaderboard | |
| 60 | DeepSeek-TNG-R1T2-Chimera | 5.50% | Official leaderboard | ||
| 61 | | 5.50% | Sep 2024 | Official leaderboard | |
| 62 | | 5.50% | Aug 2025 | Official leaderboard | |
| 63 | Claude Sonnet 4.5 | 5.50% | Sep 2025 | Official leaderboard | |
| 64 | | 5.40% | Jul 2024 | Official leaderboard | |
| 65 | | 5.40% | Aug 2024 | Official leaderboard | |
| 66 | | 5.30% | Mar 2025 | Official leaderboard | |
| 67 | | 5.00% | Jul 2024 | Official leaderboard | |
| 68 | | 4.90% | Mar 2024 | Official leaderboard | |
| 69 | | 4.90% | May 2024 | Official leaderboard | |
| 70 | Claude 3.5 Haiku | 4.90% | Oct 2024 | Official leaderboard | |
| 71 | GPT-5 | 4.90% | minimal | Aug 2025 | Official leaderboard |
| 72 | Claude Opus 4 | 4.80% | May 2025 | Official leaderboard | |
| 73 | Grok 4 | 4.80% | Jul 2025 | Official leaderboard | |
| 74 | | 4.80% | Jul 2025 | Official leaderboard | |
| 75 | | 4.70% | Apr 2024 | Official leaderboard | |
| 76 | | 4.70% | Jun 2024 | Official leaderboard | |
| 77 | | 4.70% | Dec 2024 | Official leaderboard | |
| 78 | | 4.70% | Apr 2025 | Official leaderboard | |
| 79 | GPT-5 nano | 4.70% | Aug 2025 | Official leaderboard | |
| 80 | Grok | 4.60% | Official leaderboard | ||
| 81 | Claude 3.5 Sonnet | 4.60% | Jun 2024 | Official leaderboard | |
| 82 | Jamba 1.6 Mini | 4.60% | Mar 2025 | Official leaderboard | |
| 83 | | 4.60% | Apr 2025 | Official leaderboard | |
| 84 | | 4.60% | Sep 2025 | Official leaderboard | |
| 85 | Claude 3.7 Sonnet | 4.50% | thinking | Feb 2025 | Official leaderboard |
| 86 | | 4.50% | Mar 2025 | Official leaderboard | |
| 87 | Claude Sonnet 4 | 4.50% | May 2025 | Official leaderboard | |
| 88 | Claude Haiku 4.5 | 4.50% | Oct 2025 | Official leaderboard | |
| 89 | | 4.40% | Apr 2025 | Official leaderboard | |
| 90 | | 4.30% | Sep 2024 | Official leaderboard | |
| 91 | | 4.30% | Sep 2024 | Official leaderboard | |
| 92 | GLM-4.6 | 4.30% | Sep 2025 | Official leaderboard | |
| 93 | Qwen2-VL-7B-Instruct | 4.20% | Aug 2024 | Official leaderboard | |
| 94 | | 4.20% | Sep 2024 | Official leaderboard | |
| 95 | Claude Opus 4.1 | 4.20% | Aug 2025 | Official leaderboard | |
| 96 | | 4.10% | Apr 2024 | Official leaderboard | |
| 97 | | 4.10% | Aug 2024 | Official leaderboard | |
| 98 | | 4.10% | Nov 2024 | Official leaderboard | |
| 99 | | 4.00% | Apr 2024 | Official leaderboard | |
| 100 | | 4.00% | Dec 2024 | Official leaderboard | |
| 101 | | 4.00% | Jan 2025 | Official leaderboard | |
| 102 | | 3.90% | Jul 2024 | Official leaderboard | |
| 103 | | 3.90% | Dec 2024 | Official leaderboard | |
| 104 | | 3.80% | Sep 2025 | Official leaderboard | |
| 105 | | 3.70% | May 2024 | Official leaderboard | |
| 106 | | 3.70% | Mar 2025 | Official leaderboard | |
| 107 | | 3.70% | Apr 2025 | Official leaderboard | |
| 108 | GLM-4.5 | 3.70% | Aug 2025 | Official leaderboard | |
| 109 | gpt-oss-20b | 3.70% | Aug 2025 | Official leaderboard | |
| 110 | | 3.70% | thinking | Sep 2025 | Official leaderboard |
| 111 | | 3.40% | Feb 2025 | Official leaderboard | |
| 112 | o1-preview | 3.30% | Sep 2024 | Official leaderboard | |
| 113 | Grok-3 mini | 3.30% | Apr 2025 | Official leaderboard | |
| 114 | GPT-5 mini | 3.20% | Aug 2025 | Official leaderboard | |
| 115 | | 3.10% | Apr 2024 | Official leaderboard | |
| 116 | | 3.10% | Jan 2025 | Official leaderboard | |
| 117 | | 3.00% | Apr 2024 | Official leaderboard | |
| 118 | | 3.00% | Sep 2024 | Official leaderboard | |
| 119 | | 3.00% | Mar 2025 | Official leaderboard | |
| 120 | | 3.00% | Apr 2025 | Official leaderboard | |
| 121 | Jamba 1.5 Mini | 2.90% | Aug 2024 | Official leaderboard | |
| 122 | Grok 2 Vision (1212) | 2.90% | Dec 2024 | Official leaderboard | |
| 123 | | 2.90% | Jan 2025 | Official leaderboard | |
| 124 | | 2.90% | Jun 2025 | Official leaderboard | |
| 125 | | 2.80% | Sep 2024 | Official leaderboard | |
| 126 | | 2.80% | Mar 2025 | Official leaderboard | |
| 127 | | 2.80% | Apr 2025 | Official leaderboard | |
| 128 | | 2.70% | Apr 2025 | Official leaderboard | |
| 129 | Neural-Chat-7B-v3-3 | 2.60% | Official leaderboard | ||
| 130 | | 2.60% | Jun 2025 | Official leaderboard | |
| 131 | Orca-2-13b | 2.50% | Official leaderboard | ||
| 132 | | 2.50% | Aug 2024 | Official leaderboard | |
| 133 | | 2.40% | Sep 2024 | Official leaderboard | |
| 134 | o1 | 2.40% | Dec 2024 | Official leaderboard | |
| 135 | o1-pro | 2.40% | Mar 2025 | Official leaderboard | |
| 136 | gpt-oss-120b | 2.40% | Aug 2025 | Official leaderboard | |
| 137 | Jamba 1.6 Large | 2.30% | Mar 2025 | Official leaderboard | |
| 138 | GPT-4.1 mini | 2.20% | Apr 2025 | Official leaderboard | |
| 139 | | 2.20% | Apr 2025 | Official leaderboard | |
| 140 | Grok 3 | 2.10% | Apr 2025 | Official leaderboard | |
| 141 | GPT-4.1 | 2.00% | Apr 2025 | Official leaderboard | |
| 142 | GPT-4.1 nano | 2.00% | Apr 2025 | Official leaderboard | |
| 143 | GPT-3.5 Turbo Jan 2024 | 1.90% | Jan 2024 | Official leaderboard | |
| 144 | Grok-2 Dec 2024 | 1.90% | Dec 2024 | Official leaderboard | |
| 145 | GLM-4.5-Air | 1.90% | Jul 2025 | Official leaderboard | |
| 146 | GPT-4 Jun 2023 | 1.80% | Jun 2023 | Official leaderboard | |
| 147 | | 1.80% | Dec 2024 | Official leaderboard | |
| 148 | | 1.80% | Dec 2024 | Official leaderboard | |
| 149 | | 1.80% | Jan 2025 | Official leaderboard | |
| 150 | GPT-4 Turbo Apr 2024 | 1.70% | Apr 2024 | Official leaderboard | |
| 151 | GPT-4o mini | 1.70% | Jul 2024 | Official leaderboard | |
| 152 | | 1.60% | Dec 2024 | Official leaderboard | |
| 153 | GPT-4o Mar 2025 | 1.50% | Mar 2025 | Official leaderboard | |
| 154 | o1-mini | 1.40% | Sep 2024 | Official leaderboard | |
| 155 | GLM-4-9B-Chat | 1.30% | Jun 2024 | Official leaderboard | |
| 156 | | 1.30% | Dec 2024 | Official leaderboard | |
| 157 | | 1.30% | Apr 2025 | Official leaderboard | |
| 158 | | 1.20% | Feb 2025 | Official leaderboard | |
| 159 | GPT-4.5 | 1.20% | Feb 2025 | Official leaderboard | |
| 160 | | 1.10% | Mar 2025 | Official leaderboard | |
| 161 | Kimi K2 Jul 2025 | 1.10% | Jul 2025 | Official leaderboard | |
| 162 | Mockingbird-2-Echo | 0.90% | Official leaderboard | ||
| 163 | o3-mini | 0.80% | Jan 2025 | Official leaderboard | |
| 164 | | 0.80% | Feb 2025 | Official leaderboard | |
| 165 | | 0.70% | Feb 2025 | Official leaderboard | |
| 166 | Finix-S1-32B | 0.60% | Official leaderboard |
Labs report scores for 1 model in their cards. We plot every source in the charts below.
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.
3 models have held number one since its release in Nov 2023
Lab claims count from the day the card came out, independent runs from the model’s release.
The best score passed 85% in Jul 2025
All the scores we have, one dot each, so a model tested at several settings appears more than once.
Labs report it only in system cards
We read the headline results of 479 launch posts from 51 labs, and none of them list this benchmark. Some system cards do, below.
One system card reports it
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.
| Date | Document | Score | As the document writes it | Section |
|---|---|---|---|---|
| 21 Jul 2025 | Kimi K2 technical report | 98.9 | HHEM v2.1 (1-Hallu.), hallucination rate 1.1% (Table 3) | Hallucination |
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
- SimpleVQA In use Models answer 2,025 short factual questions about images across 9 tasks and 9 topics. An LLM judge grades answers against fixed references.
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%