Benchmarks / Vectara Hallucination Leaderboard
Reported by Vectara Hallucination Leaderboard
Vectara Hallucination Leaderboard
Share of documents the model agreed to summarise rather than refusing.
- Results dated
- 22 Sep 2026
- Models
- 108
- Unit
- % of documents
- Licence
- Apache License 2.0
Full results
| # | Model | Answer rate % of documents, higher is better |
|---|---|---|
| 1 | Nova Micro 1.0Amazon |
100.0%
|
| 1 | Gemma 4 31BGoogle |
100.0%
|
| 1 | granite-3.3-8b-instructIBM |
100.0%
|
| 1 | granite-4.0-h-smallIBM |
100.0%
|
| 1 | Mercury 2Inception |
100.0%
|
| 1 | llama-4-maverick-17b-128e-instruct-fp8Meta |
100.0%
|
| 1 | GPT-5.1 (high)OpenAI |
100.0%
|
| 1 | GPT-5.1 (low reasoning)OpenAI |
100.0%
|
| 1 | GPT-5.2 (high)OpenAI |
100.0%
|
| 1 | GPT-5.2 (low reasoning)OpenAI |
100.0%
|
| 1 | GPT-5.4 MiniOpenAI |
100.0%
|
| 1 | GPT-5.4 NanoOpenAI |
100.0%
|
| 1 | GPT-5.4 ProOpenAI |
100.0%
|
| 1 | GPT-5.5OpenAI |
100.0%
|
| 1 | GPT-5 NanoOpenAI |
100.0%
|
| 1 | GPT-6 AstraOpenAI |
100.0%
|
| 1 | GPT-6 SolOpenAI |
100.0%
|
| 1 | o3 ProOpenAI |
100.0%
|
| 19 | Qwen3 14BAlibaba |
99.9%
|
| 19 | Qwen3 32BAlibaba |
99.9%
|
| 19 | qwen3-4bAlibaba |
99.9%
|
| 19 | Qwen3 8BAlibaba |
99.9%
|
| 19 | Nova Lite 1.0Amazon |
99.9%
|
| 19 | Claude Sonnet 4.6Anthropic |
99.9%
|
| 19 | ministral-3b-2410Mistral |
99.9%
|
| 19 | ministral-8b-2410Mistral |
99.9%
|
| 19 | mistral-large-2411Mistral |
99.9%
|
| 19 | GPT-4.1OpenAI |
99.9%
|
| 19 | GPT-5.4OpenAI |
99.9%
|
| 19 | GPT-5 MiniOpenAI |
99.9%
|
| 19 | GPT-5 (high)OpenAI |
99.9%
|
| 19 | GPT-5 (minimal reasoning)OpenAI |
99.9%
|
| 19 | gpt-oss-120bOpenAI |
99.9%
|
| 34 | Qwen3.5-122B-A10BAlibaba |
99.8%
|
| 34 | Qwen3.5-27BAlibaba |
99.8%
|
| 34 | Qwen3.5-35B-A3BAlibaba |
99.8%
|
| 34 | Qwen3.5-FlashAlibaba |
99.8%
|
| 34 | Qwen3.5 Plus 2026-02-15Alibaba |
99.8%
|
| 34 | Claude Opus 4.6Anthropic |
99.8%
|
| 34 | c4ai-aya-expanse-32bCohere |
99.8%
|
| 34 | Gemini 3 Flash PreviewGoogle |
99.8%
|
| 34 | Gemma 4 26B A4BGoogle |
99.8%
|
| 34 | GLM 4.7Z.ai |
99.8%
|
| 44 | Mistral Medium 3.1Mistral |
99.7%
|
| 44 | Kimi K2.6Moonshot AI |
99.7%
|
| 44 | grok-4-1-fast-reasoningxAI |
99.7%
|
| 44 | GLM 5Z.ai |
99.7%
|
| 48 | jamba-mini-2AI21 Labs |
99.6%
|
| 48 | Nova 2 LiteAmazon |
99.6%
|
| 48 | Gemini 3.1 Flash Lite PreviewGoogle |
99.6%
|
| 48 | Ministral 3 14B 2512Mistral |
99.6%
|
| 48 | Nemotron 3 Nano 30B A3BNVIDIA |
99.6%
|
| 53 | finix_s1_32bAnt Group |
99.5%
|
| 53 | Claude Haiku 4.5Anthropic |
99.5%
|
| 53 | Gemini 2.5 Flash LiteGoogle |
99.5%
|
| 53 | llama-3.3-70b-instruct-turboMeta |
99.5%
|
| 53 | grok-4-fast-reasoningxAI |
99.5%
|
| 58 | Gemini 3.1 Pro PreviewGoogle |
99.4%
|
| 58 | gemini-3-pro-previewGoogle |
99.4%
|
| 58 | MiniMax M2.7MiniMax |
99.4%
|
| 61 | Nova Pro 1.0Amazon |
99.3%
|
| 62 | o4 Mini HighOpenAI |
99.2%
|
| 62 | grok-4-fast-non-reasoningxAI |
99.2%
|
| 64 | ai21-jamba-mini-1.7AI21 Labs |
99.1%
|
| 64 | Gemini 2.5 ProGoogle |
99.1%
|
| 64 | Ministral 3 8B 2512Mistral |
99.1%
|
| 64 | GPT-5.6 SolOpenAI |
99.1%
|
| 68 | trinity-large-previewArcee Ai |
99.0%
|
| 68 | Gemini 2.5 FlashGoogle |
99.0%
|
| 68 | Llama 4 ScoutMeta |
99.0%
|
| 71 | ai21-jamba-large-1.7AI21 Labs |
98.9%
|
| 72 | Gemma 3 27BGoogle |
98.8%
|
| 72 | Mistral Large 3 2512Mistral |
98.8%
|
| 74 | Claude Opus 4.5Anthropic |
98.7%
|
| 74 | o4 Mini (low reasoning)OpenAI |
98.7%
|
| 76 | Claude Sonnet 4Anthropic |
98.6%
|
| 76 | Kimi K2 0905Moonshot AI |
98.6%
|
| 78 | MiniMax M2.1MiniMax |
98.5%
|
| 78 | grok-4-1-fast-non-reasoningxAI |
98.5%
|
| 80 | MiniMax M2.5MiniMax |
98.2%
|
| 81 | glm-4.5-air-fp8Z.ai |
98.1%
|
| 82 | Claude Opus 4.7Anthropic |
98.0%
|
| 83 | Mistral Small 3Mistral |
97.9%
|
| 84 | Command ACohere |
97.6%
|
| 85 | DeepSeek V3DeepSeek |
97.5%
|
| 86 | Gemma 3 12BGoogle |
97.4%
|
| 87 | DeepSeek V4 Pro 0423DeepSeek |
97.2%
|
| 88 | R1DeepSeek |
97.0%
|
| 89 | DeepSeek V3.2 ExpDeepSeek |
96.6%
|
| 90 | Claude Sonnet 4.5Anthropic |
95.6%
|
| 91 | Command R+ (08-2024)Cohere |
95.0%
|
| 92 | Qwen3 235B A22BAlibaba |
94.9%
|
| 93 | DeepSeek V3.1DeepSeek |
94.5%
|
| 93 | GLM 4.6Z.ai |
94.5%
|
| 95 | Qwen3 Next 80B A3B ThinkingAlibaba |
94.4%
|
| 96 | GPT-4o (2024-08-06)OpenAI |
93.8%
|
| 97 | grok-3xAI |
93.0%
|
| 98 | DeepSeek V3.2DeepSeek |
92.6%
|
| 99 | phi-4-mini-instructMicrosoft |
92.5%
|
| 100 | Claude Opus 4.1Anthropic |
92.4%
|
| 101 | Kimi K2.5Moonshot AI |
92.2%
|
| 102 | GLM 4.7 FlashZ.ai |
91.6%
|
| 103 | claude-opus-4Anthropic |
91.0%
|
| 104 | Phi 4Microsoft |
80.7%
|
| 105 | c4ai-aya-expanse-8bCohere |
77.5%
|
| 106 | Ministral 3 3B 2512Mistral |
74.3%
|
| 107 | Gemma 3 4BGoogle |
67.3%
|
| 108 | snowflake-arctic-instructSnowflake |
62.7%
|
Results as published by Vectara Hallucination Leaderboard; we do not re-run them.
What it measures
Share of documents the model agreed to summarise rather than refusing.
What it does not measure
Not a quality score: a low rate usually means content filters were triggered, and hallucination rates are measured on answered documents only.
Vectara Hallucination Leaderboard by Vectara, Apache License 2.0.