Knowledge & reasoning
Vals GPQA Diamond leaderboard
As of 2026-10-07, the highest measured score on Vals GPQA Diamond is 95.5% by Gemini 3.1 Pro. 185 more models have estimated scores, calibrated from the benchmarks they were measured on.
Measured scores: benchlm.ai.
| # | Model | Score | Source |
|---|---|---|---|
| 1 | Claude Sonnet 5.5 | 98.2% | estimated ± 1.5 pp, low confidence |
| 2 | Claude Opus 5.5 | 98.2% | estimated ± 1.5 pp, low confidence |
| 3 | Ling 3.1 Flash | 98.2% | estimated ± 1.5 pp, low confidence |
| 4 | GPT-6.1 Sol | 98.2% | estimated ± 1.5 pp, low confidence |
| 5 | Gemini 4 Argon | 96.4% | estimated ± 2.2 pp, low confidence |
| 6 | GPT-6 Luna | 96.2% | estimated ± 1.5 pp, low confidence |
| 7 | GPT-6 Sol | 96.2% | estimated ± 1.5 pp, low confidence |
| 8 | GPT-6 Astra | 96.1% | estimated ± 1.1 pp, high confidence |
| 9 | Gemini 3.1 Pro | 95.5% | measured |
| 10 | GPT-5.6 Sol | 95.2% | measured |
| 11 | Muse Spark 1.3 | 95.2% | estimated ± 7.4 pp, medium confidence |
| 12 | Sakana Fugu | 94.9% | estimated ± 2.0 pp, medium confidence |
| 13 | Sakana Fugu-Ultra | 94.9% | estimated ± 2.0 pp, medium confidence |
| 14 | Grok 4.6 | 94.7% | measured |
| 15 | Claude Mythos 5 | 94.4% | estimated ± 3.0 pp, high confidence |
| 16 | Gemini 3.8 Flash | 94.4% | measured |
| 17 | Gemini 3.7 Flash | 93.9% | measured |
| 18 | Qwen3.8 Max Preview | 93.8% | estimated ± 7.4 pp, medium confidence |
| 19 | Qwen3.8 Max | 93.7% | measured |
| 20 | GPT-5.5 Pro | 93.7% | estimated ± 2.2 pp, high confidence |
| 21 | GPT-5.4 Pro | 93.6% | estimated ± 2.2 pp, high confidence |
| 22 | Claude Fable 5.1 | 93.4% | measured |
| 23 | Claude Opus 5 | 93.4% | measured |
| 24 | Gemini 3.6 Flash | 93.4% | measured |
| 25 | dots3-note Preview | 93.4% | estimated ± 2.2 pp, high confidence |
| 26 | Claude Fable 5 | 93.2% | measured |
| 27 | GPT-5.5 | 93.2% | measured |
| 28 | Grok 4.5 | 92.9% | measured |
| 29 | Kimi K3 | 92.9% | measured |
| 30 | Step 5 Preview | 92.8% | estimated ± 2.0 pp, high confidence |
| 31 | Gemini 3.5 Flash | 92.7% | measured |
| 32 | MiniMax M3 | 92.7% | measured |
| 33 | Claude Opus 4.8 | 92.4% | measured |
| 34 | DeepSeek V4 Pro 0813 | 92.4% | measured |
| 35 | Pareto 26.9 | 92.3% | estimated ± 3.0 pp, high confidence |
| 36 | GPT-5.4 | 92.2% | estimated ± 1.1 pp, high confidence |
| 37 | Ornith-1.5-397B | 92.1% | estimated ± 2.0 pp, high confidence |
| 38 | Claude Opus 4.6 (Adaptive) | 92.1% | estimated ± 2.2 pp, high confidence |
| 39 | Pareto 26.10 Preview | 91.7% | estimated ± 2.0 pp, high confidence |
| 40 | GPT-5.6 Luna | 91.7% | measured |
| 41 | Claude Opus 4.7 (Adaptive) | 91.7% | estimated ± 1.1 pp, high confidence |
| 42 | Hy4 preview | 91.6% | estimated ± 2.0 pp, high confidence |
| 43 | Claude Haiku 5.5 | 91.5% | estimated ± 3.0 pp, high confidence |
| 44 | MiMo-V2.6-Pro | 91.4% | estimated ± 7.5 pp, medium confidence |
| 45 | GPT-5.3 Codex | 91.4% | estimated ± 7.4 pp, medium confidence |
| 46 | Grok 4.3 | 91.4% | measured |
| 47 | Muse Spark 1.1 | 91.2% | measured |
| 48 | Mistral Large 4 | 91.2% | estimated ± 7.5 pp, medium confidence |
| 49 | MiMo-V2.6-Flash | 91.1% | estimated ± 7.5 pp, medium confidence |
| 50 | Grok 4.7 | 91.1% | estimated ± 1.5 pp, medium confidence |
| 51 | Qwen3.8-Flash-Next | 91.0% | estimated ± 2.0 pp, high confidence |
| 52 | GPT-5.6 Terra | 90.9% | measured |
| 53 | Qwen3.8-Omni-Flash | 90.3% | estimated ± 2.0 pp, high confidence |
| 54 | Claude Opus 4.7 | 90.2% | measured |
| 55 | Qwen3.7 Max | 90.2% | measured |
| 56 | DeepSeek V4.1 Flash | 90.2% | estimated ± 2.0 pp, high confidence |
| 57 | GPT-5.2 | 90.0% | estimated ± 2.2 pp, high confidence |
| 58 | Muse Spark 1.2 | 90.0% | estimated ± 3.8 pp, high confidence |
| 59 | DeepSeek V4 Flash 0731 | 89.9% | measured |
| 60 | Beam | 89.8% | estimated ± 2.0 pp, high confidence |
| 61 | Muse Spark | 89.6% | measured |
| 62 | Qwen3.7 Plus | 89.6% | estimated ± 2.0 pp, high confidence |
| 63 | Interfaze Beta | 89.1% | estimated ± 2.0 pp, high confidence |
| 64 | Kimi K2.6 | 89.1% | measured |
| 65 | Claude Sonnet 5 | 88.9% | measured |
| 66 | Qwen3.8-27B | 88.9% | measured |
| 67 | Gemini 3 Pro Deep Think | 88.8% | estimated ± 2.2 pp, high confidence |
| 68 | Grok 4.20 | 88.6% | measured |
| 69 | GPT-5.2-Codex | 88.5% | estimated ± 7.4 pp, medium confidence |
| 70 | Claude Opus 4.6 | 88.4% | estimated ± 2.0 pp, high confidence |
| 71 | Ornith-1.5-35B-A3B | 88.4% | estimated ± 2.0 pp, high confidence |
| 72 | Solar Pro 4 | 88.2% | estimated ± 2.0 pp, high confidence |
| 73 | Hy3 | 88.2% | estimated ± 7.4 pp, medium confidence |
| 74 | GLM-5.3 | 88.1% | measured |
| 75 | Kimi K2.7 Code | 88.0% | estimated ± 7.4 pp, medium confidence |
| 76 | Gemini 3 Flash | 87.9% | measured |
| 77 | Qwen3.6 Plus | 87.4% | measured |
| 78 | Claude Opus 4.5 Thinking | 87.3% | estimated ± 2.2 pp, high confidence |
| 79 | Inkling | 87.1% | measured |
| 80 | Kimi K2.5 | 86.8% | estimated ± 2.0 pp, high confidence |
| 81 | MiniMax M2.7 | 86.6% | measured |
| 82 | Qwen 3.6 Max (preview) | 86.6% | estimated ± 7.4 pp, medium confidence |
| 83 | GLM-5.3-Flash | 86.4% | measured |
| 84 | Hy3 Preview | 86.4% | estimated ± 2.0 pp, high confidence |
| 85 | Nemotron 3 Ultra | 86.1% | measured |
| 86 | Gemini 3 Pro | 85.9% | estimated ± 2.2 pp, high confidence |
| 87 | Claude Sonnet 4.6 | 85.6% | measured |
| 88 | GLM-5.2 | 85.6% | measured |
| 89 | Ornith-1.5-9B | 85.6% | estimated ± 2.0 pp, high confidence |
| 90 | Solar Open 2 | 85.4% | estimated ± 2.0 pp, high confidence |
| 91 | GPT-5.1 | 85.3% | estimated ± 2.3 pp, high confidence |
| 92 | GLM-5 | 85.1% | estimated ± 2.0 pp, high confidence |
| 93 | Ternary Bonsai 2 27B | 84.9% | estimated ± 2.0 pp, high confidence |
| 94 | Ling 3.0 Flash | 84.8% | measured |
| 95 | A.X K2 | 84.7% | estimated ± 2.0 pp, high confidence |
| 96 | Grok 4 | 84.7% | estimated ± 7.4 pp, medium confidence |
| 97 | Qwen3.5 397B | 84.6% | estimated ± 4.8 pp, high confidence |
| 98 | GLM-5.1 | 84.5% | measured |
| 99 | Gemini 3.5 Flash-Lite | 83.8% | measured |
| 100 | Inkling-Small | 83.6% | measured |
| 101 | Qwen3.6-27B | 83.5% | estimated ± 4.8 pp, high confidence |
| 102 | MiMo-V2-Pro | 83.5% | estimated ± 7.4 pp, medium confidence |
| 103 | MAI-Thinking-1 | 83.3% | estimated ± 2.0 pp, medium confidence |
| 104 | Kimi K2.5 (Reasoning) | 83.1% | estimated ± 4.8 pp, high confidence |
| 105 | GPT-5.4 mini | 83.1% | measured |
| 106 | Ling 3.0 Flash FP8 | 83.1% | estimated ± 2.0 pp, medium confidence |
| 107 | Qwen3.5 Flash | 82.8% | measured |
| 108 | MiMo-V2.5-Pro | 82.6% | measured |
| 109 | Apodex 1.1 | 82.4% | estimated ± 7.4 pp, medium confidence |
| 110 | Apodex 1.1 Mini | 82.4% | estimated ± 7.4 pp, medium confidence |
| 111 | Ling 3.0 Flash VL | 82.1% | estimated ± 7.4 pp, medium confidence |
| 112 | Claude Opus 4.5 | 82.1% | estimated ± 4.8 pp, high confidence |
| 113 | Qwen3.5 397B (Reasoning) | 81.9% | estimated ± 7.4 pp, medium confidence |
| 114 | GPT-5.1-Codex | 81.8% | estimated ± 7.4 pp, medium confidence |
| 115 | GPT-5.1-Codex-Max | 81.8% | estimated ± 7.4 pp, medium confidence |
| 116 | MiMo-V2.5 | 81.6% | measured |
| 117 | Qwen3.5-122B-A10B | 81.4% | estimated ± 4.8 pp, high confidence |
| 118 | K-EXAONE 2.0 | 81.2% | estimated ± 2.0 pp, medium confidence |
| 119 | Gemini 3.1 Flash-Lite | 81.1% | measured |
| 120 | GPT-5 (high) | 80.8% | estimated ± 7.4 pp, medium confidence |
| 121 | Claude Sonnet 4.5 Thinking | 80.7% | estimated ± 2.2 pp, high confidence |
| 122 | Claude Sonnet 4.5 | 80.7% | estimated ± 2.2 pp, high confidence |
| 123 | Grok 4.1 Fast (Reasoning) | 80.6% | estimated ± 7.4 pp, medium confidence |
| 124 | Qwen3.6-35B-A3B | 80.3% | estimated ± 4.8 pp, high confidence |
| 125 | GLM-4.7 | 80.1% | measured |
| 126 | GLM-5-Turbo | 79.6% | estimated ± 7.4 pp, medium confidence |
| 127 | Grok 4 Fast (Reasoning) | 79.6% | estimated ± 7.4 pp, medium confidence |
| 128 | Qwen3.5-27B | 79.5% | estimated ± 4.8 pp, high confidence |
| 129 | o3-pro | 79.3% | estimated ± 7.4 pp, medium confidence |
| 130 | GPT-5 (medium) | 78.8% | estimated ± 7.4 pp, medium confidence |
| 131 | Mercury 2.5 | 78.0% | estimated ± 2.0 pp, medium confidence |
| 132 | Gemma 4 12B | 77.7% | estimated ± 2.0 pp, medium confidence |
| 133 | Muse Glimmer 30B | 77.7% | estimated ± 7.4 pp, medium confidence |
| 134 | GPT-5.4 nano | 77.5% | measured |
| 135 | Qwen3.5-35B-A3B | 77.3% | estimated ± 4.8 pp, high confidence |
| 136 | Gemma 4 31B | 76.9% | estimated ± 3.0 pp, medium confidence |
| 137 | MiMo-V2-Omni | 76.6% | estimated ± 7.4 pp, medium confidence |
| 138 | Claude 4.1 Opus | 76.5% | estimated ± 7.5 pp, medium confidence |
| 139 | o3 | 76.4% | estimated ± 7.4 pp, medium confidence |
| 140 | Gemini 2.5 Pro | 75.3% | estimated ± 4.8 pp, high confidence |
| 141 | Trinity-Large-Thinking | 75.2% | estimated ± 2.0 pp, medium confidence |
| 142 | GLM-4.6 | 74.5% | measured |
| 143 | Nemotron 3.5 Lightning 30B A3B NVFP4 | 74.4% | estimated ± 2.0 pp, medium confidence |
| 144 | DeepSeek-R1 | 74.2% | estimated ± 7.4 pp, medium confidence |
| 145 | Claude 4.1 Opus Thinking | 73.6% | estimated ± 7.4 pp, medium confidence |
| 146 | GLM-5V-Turbo | 73.6% | estimated ± 7.4 pp, medium confidence |
| 147 | Step 3.7 Flash | 73.6% | estimated ± 7.4 pp, medium confidence |
| 148 | Nemotron 3 Super 100B | 72.3% | estimated ± 7.4 pp, medium confidence |
| 149 | Claude Haiku 4.5 | 72.2% | measured |
| 150 | GLM-4.5 | 72.2% | measured |
| 151 | Nemotron 3 Nano Omni 30B A3B | 71.0% | estimated ± 2.0 pp, medium confidence |
| 152 | K-Exaone | 69.7% | estimated ± 7.4 pp, medium confidence |
| 153 | ZAYA1-8B | 69.7% | estimated ± 2.0 pp, medium confidence |
| 154 | GPT-OSS 120B | 69.6% | estimated ± 7.4 pp, medium confidence |
| 155 | DeepSeek V3.1 (Reasoning) | 69.2% | estimated ± 7.4 pp, medium confidence |
| 156 | MiniCPM5-2B | 68.9% | estimated ± 2.0 pp, medium confidence |
| 157 | o1-pro | 68.8% | estimated ± 4.8 pp, medium confidence |
| 158 | LongCat-Flash-Lite-Sparse | 68.2% | estimated ± 2.0 pp, medium confidence |
| 159 | Mistral Small 4 | 67.7% | estimated ± 7.4 pp, medium confidence |
| 160 | Mistral Small 4 (Reasoning) | 67.7% | estimated ± 7.4 pp, medium confidence |
| 161 | Kimi K2 | 67.3% | estimated ± 7.4 pp, medium confidence |
| 162 | o1-preview | 67.1% | estimated ± 7.4 pp, medium confidence |
| 163 | Qwen3 Max | 67.0% | estimated ± 7.4 pp, medium confidence |
| 164 | Command A+ | 66.6% | estimated ± 7.4 pp, medium confidence |
| 165 | Qwen3 235B 2507 | 66.5% | estimated ± 4.8 pp, medium confidence |
| 166 | o3-mini | 66.1% | estimated ± 4.8 pp, medium confidence |
| 167 | Nemotron 3 Nano 30B | 66.0% | estimated ± 7.4 pp, medium confidence |
| 168 | North Mini Code | 66.0% | estimated ± 7.4 pp, medium confidence |
| 169 | DeepSeek V3.2 | 65.2% | estimated ± 7.4 pp, medium confidence |
| 170 | o1 | 63.8% | estimated ± 4.8 pp, medium confidence |
| 171 | Sarvam 105B | 63.4% | estimated ± 7.4 pp, medium confidence |
| 172 | DeepSeek V3.1 | 63.0% | estimated ± 7.4 pp, medium confidence |
| 173 | Ling 3.0 Tiny | 62.9% | estimated ± 7.4 pp, medium confidence |
| 174 | GLM-4.5-Air | 62.7% | estimated ± 7.4 pp, medium confidence |
| 175 | Quasar 438B | 62.6% | estimated ± 7.4 pp, medium confidence |
| 176 | Nemotron Ultra 253B | 62.0% | estimated ± 7.4 pp, medium confidence |
| 177 | Grok Code Fast 1 | 61.9% | estimated ± 7.4 pp, medium confidence |
| 178 | Trinity-Large-Preview | 61.8% | estimated ± 2.0 pp, medium confidence |
| 179 | Qwen3-Omni-30B-A3B-Thinking | 61.8% | estimated ± 7.4 pp, medium confidence |
| 180 | Solar Pro 3 | 61.5% | estimated ± 7.4 pp, medium confidence |
| 181 | MiMo-V2-Flash | 59.3% | measured |
| 182 | Gemma 4 26B A4B | 57.2% | estimated ± 3.0 pp, medium confidence |
| 183 | GPT-OSS 20B | 56.8% | estimated ± 7.4 pp, medium confidence |
| 184 | Claude 4 Sonnet | 56.2% | estimated ± 7.4 pp, medium confidence |
| 185 | Gemini 2.5 Flash | 56.2% | estimated ± 7.4 pp, medium confidence |
| 186 | Mellum2-12B-A2.5B-Thinking | 56.0% | estimated ± 2.0 pp, medium confidence |
| 187 | Mistral Large 3 | 55.8% | estimated ± 7.4 pp, medium confidence |
| 188 | ZAYA1-74B-Preview | 55.7% | estimated ± 2.0 pp, medium confidence |
| 189 | Laguna XS.2 | 55.1% | measured |
| 190 | Llama 4 Maverick | 54.7% | estimated ± 7.4 pp, medium confidence |
| 191 | DeepSeek V3 0324 | 52.8% | estimated ± 7.4 pp, medium confidence |
| 192 | Granite 4.2 30B | 51.0% | estimated ± 4.8 pp, medium confidence |
| 193 | GPT-4.1 | 50.8% | estimated ± 4.8 pp, medium confidence |
| 194 | Grok 4.1 Fast | 50.7% | estimated ± 7.4 pp, medium confidence |
| 195 | Sarvam 30B | 50.2% | estimated ± 7.4 pp, medium confidence |
| 196 | Celeris-1 | 50.0% | estimated ± 7.4 pp, low confidence |
| 197 | Exaone 4.0 32B | 49.6% | estimated ± 7.4 pp, low confidence |
| 198 | Qwen3-Omni-30B-A3B-Instruct | 48.7% | estimated ± 7.4 pp, low confidence |
| 199 | DeepSeek R1 Distill Qwen 32B | 48.1% | estimated ± 7.4 pp, low confidence |
| 200 | GPT-4.1 mini | 48.1% | estimated ± 4.8 pp, medium confidence |
| 201 | Granite 4.2 8B | 48.1% | estimated ± 4.8 pp, medium confidence |
| 202 | Gemini 1.5 Pro | 45.3% | estimated ± 7.4 pp, low confidence |
| 203 | Llama 4 Scout | 45.0% | estimated ± 7.4 pp, low confidence |
| 204 | Mistral Medium 3 | 44.1% | estimated ± 7.4 pp, low confidence |
| 205 | Phi-4 | 43.7% | estimated ± 7.4 pp, low confidence |
| 206 | LLaDA2.2-mini | 42.4% | estimated ± 2.0 pp, medium confidence |
| 207 | Claude 3.5 Sonnet | 42.3% | estimated ± 4.8 pp, medium confidence |
| 208 | Solar Pro 2 | 42.3% | estimated ± 7.4 pp, low confidence |
| 209 | LFM2.5-2.6B | 41.9% | estimated ± 7.4 pp, low confidence |
| 210 | DeepSeek V3 | 41.9% | estimated ± 4.8 pp, medium confidence |
| 211 | Ling 2.6 Flash | 41.8% | estimated ± 4.8 pp, medium confidence |
| 212 | Soofi S 30B-A3B | 41.4% | estimated ± 2.0 pp, medium confidence |
| 213 | Gemma 4 E4B | 41.3% | estimated ± 4.8 pp, medium confidence |
| 214 | GPT-4o | 40.4% | estimated ± 7.4 pp, low confidence |
| 215 | Mellum2-12B-A2.5B-Instruct | 38.8% | estimated ± 2.0 pp, medium confidence |
| 216 | Llama 3.1 405B | 37.6% | estimated ± 7.4 pp, low confidence |
| 217 | LFM2.5-8B-A1B | 37.4% | estimated ± 7.4 pp, low confidence |
| 218 | Granite 4.2 3B | 37.0% | estimated ± 4.8 pp, medium confidence |
| 219 | Nova Pro | 36.0% | estimated ± 7.4 pp, low confidence |
| 220 | Ultravox v0.6 Llama 3.3 70B | 35.9% | estimated ± 7.4 pp, low confidence |
| 221 | Claude 3 Opus | 35.1% | estimated ± 7.4 pp, low confidence |
| 222 | Mistral Medium 3.5 128B | 34.8% | measured |
| 223 | Mistral Large 2 | 34.8% | estimated ± 7.4 pp, low confidence |
| 224 | GPT-4.1 nano | 32.1% | estimated ± 4.8 pp, medium confidence |
| 225 | Gemma 3 27B | 29.5% | estimated ± 7.4 pp, low confidence |
| 226 | GPT-4o mini | 29.3% | estimated ± 7.4 pp, low confidence |
| 227 | Exaone 4.0 1.2B | 29.2% | estimated ± 7.4 pp, low confidence |
| 228 | Qwen2.5 Coder 32B Instruct | 28.6% | estimated ± 7.4 pp, low confidence |
| 229 | Laguna M.1 | 27.0% | measured |
| 230 | Gemma 4 E2B | 25.1% | estimated ± 4.8 pp, medium confidence |
| 231 | Claude 3 Haiku | 24.9% | estimated ± 7.4 pp, low confidence |
| 232 | MiniCPM5-1B | 23.8% | estimated ± 2.0 pp, medium confidence |
| 233 | LFM2.5-230M | 22.9% | estimated ± 2.0 pp, medium confidence |
| 234 | Phi-4 Multimodal Instruct | 20.3% | estimated ± 7.4 pp, low confidence |
| 235 | LFM2.5-VL-1.6B-Extract | 18.3% | estimated ± 7.4 pp, low confidence |
| 236 | Gemini 1.0 Pro | 17.4% | estimated ± 7.4 pp, low confidence |
| 237 | Granite-4.0-H-1B | 16.4% | estimated ± 7.4 pp, low confidence |
| 238 | Granite-4.0-350M | 16.3% | estimated ± 7.4 pp, low confidence |
| 239 | Granite-4.0-H-350M | 16.0% | estimated ± 7.4 pp, low confidence |
| 240 | LFM2.5-VL-450M | 9.6% | estimated ± 4.8 pp, medium confidence |
| 241 | GPT-4 Turbo | 3.0% | estimated ± 7.5 pp, low confidence |
All leaderboards
Agentic · terminal
- AA Terminal-Bench 2.1
- AA Terminal-Bench 4.0
- Terminal-Bench 2.0
- Terminal-Bench 3.0
- Terminal-Bench 4.0
- Terminal-Bench-Science 0.1
- Terminal-Bench 2.1
- Terminal-Bench 2.1 (Vals AI)
Agentic · tools
- AA Agentic Index
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- GDP.pdf
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Coding
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- Vibe Code Bench
- VulcanBench v3
Math
- AIME 2025
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- FrontierMath v2 (Tiers 1-3)
- HMMT Feb 2025
- HMMT Feb 2026
- HMMT Nov 2025
- IMOAnswerBench
- MATH-500
- MMAnswerBench
Knowledge & reasoning
- AA-GPQA Diamond
- AA-HLE
- ARC-AGI-2
- ARC-AGI-1
- ARC-AGI-3
- Artificial Analysis Intelligence Index
- BioMysteryBench (human-difficult)
- BioMysteryBench (human-solvable)
- C-Eval
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- GPQA
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- HealthBench (length-adjusted)
- HealthBench Professional
- HealthBench Professional (raw)
- HLE
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- JevBench 1.4
- LABBench2
- MedXpertQA (Text)
- MMLU
- MMLU-Pro
- MMLU-Pro (Arcee)
- MMLU-Redux
- MMMLU
- AA-Omniscience Accuracy
- SuperGPQA
- Vals GPQA Diamond
- Vals MMLU-Pro
Instruction following
Multilingual
Vision & documents
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- BabyVision
- CharXiv
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- MedXpertQA (MM)
- MMMU
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- MMMU-Pro w/ Python
- MMVU
- OfficeQA Pro
- OmniDocBench 1.5
- RealWorldQA
- RefCOCO (avg)
- ScreenSpot Pro
- SimpleVQA
- Video-MME (with subtitle)
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