多模態大模型排行榜:視覺大模型排名
依真人匿名對比投票的 Arena 得分排名(LMArena 視覺競技場):使用者上傳圖片並提問,兩個匿名模型作答後投票。
- 開放權重最高
GLM-5.3-Flash1299Z.ai
依 LMArena 視覺競技場 2026年10月19日 發布的資料,Anthropic 的 Claude Fable 5 (High) 以 1325 分(14,714 票)在 167 個模型中排第一。
完整榜單 · OCR 文字辨識
共 123 個預設依 LMArena 得分降序;± 為 95% 信賴區間半寬;分項欄為該模型在對應分榜的得分,空白為 –。
| # | 模型 | LMArena · OCR 文字辨識 | 授權 | ||
|---|---|---|---|---|---|
| 得分↓ | 名次 | 票數 | |||
| 1 | 1337±7 | 1 | 10,497 | Proprietary | |
| 2 | 1333±11 | 2 | 3,137 | Proprietary | |
| 3 | 1329±7 | 3 | 12,218 | Proprietary | |
| 4 | 1327±10 | 4 | 3,456 | Proprietary | |
| 5 | 1327±7 | 5 | 16,736 | Proprietary | |
| 6 | 1326±6 | 6 | 19,407 | Proprietary | |
| 7 | 1326±7 | 7 | 15,908 | Proprietary | |
| 8 | 1326±14 | 8 | 2,118 | Proprietary | |
| 9 | 1322±8 | 9 | 6,896 | Proprietary | |
| 10 | 1322±10 | 10 | 3,653 | Proprietary | |
| 11 | 1320±7 | 11 | 16,364 | Proprietary | |
| 12 | 1319±10 | 12 | 3,701 | Proprietary | |
| 13 | 1317±7 | 13 | 9,712 | Proprietary | |
| 14 | 1313±17 | 14 | 1,343 | Proprietary | |
| 15 | 1312±7 | 15 | 9,583 | Proprietary | |
| 16 | 1312±6 | 16 | 21,790 | Proprietary | |
| 17 | 1312±8 | 17 | 6,075 | Proprietary | |
| 18 | 1310±8 | 18 | 8,321 | Proprietary | |
| 19 | 1309±11 | 19 | 3,280 | Proprietary | |
| 20 | 1307±10 | 20 | 4,223 | Proprietary | |
| 21 | 1306±6 | 21 | 20,286 | Proprietary | |
| 22 | 1304±6 | 22 | 18,851 | Proprietary | |
| 23 | 1304±5 | 23 | 32,719 | Proprietary | |
| 24 | 1303±7 | 24 | 12,994 | Proprietary | |
| 25 | 1301±7 | 25 | 8,699 | Proprietary | |
| 26 | 1299±7 | 26 | 11,021 | MIT | |
| 27 | 1299±7 | 27 | 16,434 | Proprietary | |
| 28 | 1298±7 | 28 | 13,248 | Proprietary | |
| 29 | 1297±14 | 29 | 1,780 | Proprietary | |
| 30 | 1296±6 | 30 | 19,839 | Proprietary | |
| 31 | 1293±7 | 31 | 8,562 | Proprietary | |
| 32 | 1292±12 | 32 | 2,740 | Proprietary | |
| 33 | 1291±7 | 33 | 11,758 | Modified MIT | |
| 34 | 1291±5 | 34 | 26,690 | Proprietary | |
| 35 | 1290±8 | 35 | 7,710 | Proprietary | |
| 36 | 1289±15 | 36 | 1,654 | Proprietary | |
| 37 | 1288±7 | 37 | 9,923 | Proprietary | |
| 38 | 1288±7 | 38 | 9,827 | Proprietary | |
| 39 | 1284±23 | 39 | 671 | Proprietary | |
| 40 | 1284±8 | 40 | 7,715 | Proprietary | |
| 41 | 1282±12 | 41 | 2,786 | MIT | |
| 42 | SStep 5 PreviewStepFun | 1282±18 | 42 | 1,102 | Proprietary |
| 43 | 1282±6 | 43 | 28,054 | Apache 2.0 | |
| 44 | 1281±9 | 44 | 5,124 | Apache 2.0 | |
| 45 | 1280±8 | 45 | 6,262 | Proprietary | |
| 46 | 1278±8 | 46 | 8,104 | Proprietary | |
| 47 | 1276±6 | 47 | 19,489 | Modified MIT | |
| 48 | 1275±7 | 48 | 11,343 | Proprietary | |
| 49 | 1272±5 | 49 | 25,665 | Proprietary | |
| 50 | 1272±9 | 50 | 4,881 | Proprietary | |
| 51 | 1271±5 | 51 | 22,696 | Apache 2.0 | |
| 52 | 1270±5 | 52 | 32,875 | Proprietary | |
| 53 | 1270±5 | 53 | 30,138 | Proprietary | |
| 54 | 1270±13 | 54 | 2,504 | MIT | |
| 55 | 1270±17 | 55 | 1,195 | MIT | |
| 56 | 1268±7 | 56 | 16,862 | Apache 2.0 | |
| 57 | 1266±6 | 57 | 19,061 | Proprietary | |
| 58 | 1264±8 | 58 | 7,472 | Proprietary | |
| 59 | 1261±6 | 59 | 17,215 | Proprietary | |
| 60 | 1259±12 | 60 | 2,691 | Modified MIT | |
| 61 | 1259±6 | 61 | 13,947 | MiniMax Community License | |
| 62 | 1258±13 | 62 | 2,285 | Proprietary | |
| 63 | 1257±6 | 63 | 12,905 | Proprietary | |
| 64 | 1256±6 | 64 | 20,901 | MIT | |
| 65 | 1256±9 | 65 | 5,653 | Proprietary | |
| 66 | 1255±9 | 66 | 6,005 | Proprietary | |
| 67 | 1255±12 | 67 | 2,752 | Proprietary | |
| 68 | 1253±6 | 68 | 18,272 | Proprietary | |
| 69 | 1253±8 | 69 | 7,752 | Apache 2.0 | |
| 70 | 1251±7 | 70 | 9,185 | Apache 2.0 | |
| 71 | 1250±14 | 71 | 1,921 | Proprietary | |
| 72 | 1249±7 | 72 | 11,175 | Proprietary | |
| 73 | 1246±6 | 73 | 19,353 | Proprietary | |
| 74 | 1246±9 | 74 | 10,674 | Proprietary | |
| 75 | 1246±5 | 75 | 21,340 | Apache 2.0 | |
| 76 | TInkling-SmallThinking Machines開放權重 | 1243±9 | 76 | 5,655 | Apache 2.0 |
| 77 | 1241±12 | 77 | 2,508 | Proprietary | |
| 78 | 1241±8 | 78 | 6,725 | Proprietary | |
| 79 | 1238±8 | 79 | 7,549 | Proprietary | |
| 80 | 1237±5 | 80 | 27,156 | Proprietary | |
| 81 | 1236±18 | 81 | 1,120 | Proprietary | |
| 82 | 1235±6 | 82 | 19,659 | Proprietary | |
| 83 | 1233±6 | 83 | 13,789 | Proprietary | |
| 84 | 1233±10 | 84 | 3,905 | Modified MIT | |
| 85 | 1228±8 | 85 | 6,194 | Apache 2.0 | |
| 86 | 1225±12 | 86 | 2,489 | Proprietary | |
| 87 | 1218±8 | 87 | 14,380 | Proprietary | |
| 88 | 1218±9 | 88 | 11,355 | Proprietary | |
| 89 | NNVIDIA-Nemotron-3.5-Super-VL-120B-A12B (NVFP4)NVIDIA開放權重 | 1216±15 | 89 | 1,672 | OpenMDW-1.1 |
| 90 | 1215±9 | 90 | 10,702 | Proprietary | |
| 91 | 1212±16 | 91 | 1,322 | Apache 2.0 | |
| 92 | 1204±6 | 92 | 18,222 | Proprietary | |
| 93 | 1203±12 | 93 | 2,787 | Proprietary | |
| 94 | 1199±10 | 94 | 7,999 | Proprietary | |
| 95 | 1197±9 | 95 | 11,774 | Proprietary | |
| 96 | 1197±21 | 96 | 725 | Proprietary | |
| 97 | 1197±20 | 97 | 835 | Proprietary | |
| 98 | 1195±9 | 98 | 9,607 | Proprietary | |
| 99 | 1195±7 | 99 | 9,260 | Proprietary | |
| 100 | 1188±9 | 100 | 10,500 | Proprietary | |
| 101 | 1188±9 | 101 | 10,464 | Proprietary | |
| 102 | 1181±20 | 102 | 863 | Proprietary | |
| 103 | 1179±16 | 103 | 1,331 | Proprietary | |
| 104 | SStep-1o Turbo (202506)StepFun | 1177±17 | 104 | 1,244 | Proprietary |
| 105 | 1176±16 | 105 | 1,364 | Proprietary | |
| 106 | 1175±7 | 106 | 13,469 | Proprietary | |
| 107 | 1173±18 | 107 | 1,108 | Proprietary | |
| 108 | 1171±16 | 108 | 1,484 | MIT | |
| 109 | SStep-3StepFun開放權重 | 1168±17 | 109 | 1,202 | Apache 2.0 |
| 110 | 1167±20 | 110 | 792 | Proprietary | |
| 111 | 1157±19 | 111 | 879 | Proprietary | |
| 112 | 1156±10 | 112 | 6,196 | Gemma | |
| 113 | 1154±10 | 113 | 4,562 | Proprietary | |
| 114 | 1152±15 | 114 | 1,673 | Proprietary | |
| 115 | 1151±17 | 115 | 1,195 | MIT | |
| 116 | 1148±12 | 116 | 3,690 | Proprietary | |
| 117 | 1143±12 | 117 | 3,083 | Llama 4 | |
| 118 | 1139±19 | 118 | 943 | Proprietary | |
| 119 | 1134±11 | 119 | 4,083 | Apache 2.0 | |
| 120 | 1132±11 | 120 | 7,209 | Apache 2.0 | |
| 121 | 1117±12 | 121 | 2,788 | Llama | |
| 122 | 1091±20 | 122 | 905 | Proprietary | |
| 123 | 1058±24 | 123 | 796 | Apache 2.0 | |
得分資料:LMArena leaderboard-dataset(lmarena-ai,Hugging Face,CC-BY-4.0,vision 設定),OCR 文字辨識發布於 2026年10月19日。引用請註明來源。
資料來源與計算方法
- LMLMArena 排行榜資料集(Hugging Face,CC-BY-4.0)
vision 設定,2026年10月19日 發布,綜合榜 167 個模型。
- 得分為 Bradley-Terry 模型擬合的 Arena 分數,來自真人在同一圖片問題下對兩個匿名回答的投票。
- 分項(OCR、圖表、作業題、圖片描述、中文/英文等)是 LMArena 依提示詞類別單獨計算的分榜,不是綜合分的拆分,名次可能和綜合榜差很多。
- 沒有公開資料的欄位(價格、上下文、發布時間等)不顯示,空白為 –;不做推測。
- 每天自動同步一次;JSON 介面: /api/public/vision-leaderboard.php
常見問題
目前最強的多模態(視覺)大模型是哪個?
依 LMArena 視覺競技場 2026年10月19日 發布的資料,Anthropic 的 Claude Fable 5 (High) 以 1325 分(14,714 票)在 167 個模型中排第一。
各家廠商最好的視覺模型分別是哪個?
綜合榜各廠商最高:Anthropic Claude Fable 5 (High) (1325, #1)、Google Gemini 3.8 Flash (High) (1315, #7)、Alibaba Qwen3.8-Max (1313, #10)、Meta Muse Spark 1.3 (Max) (1308, #12)、OpenAI GPT-5.4 (High) (1303, #18)。
哪個模型 OCR 文字辨識最好?
LMArena OCR 分榜(123 個模型)第一是 Claude Fable 5 (High),1337 分。
最好的開源/開放權重視覺模型是哪個?
榜上有 50 個開放權重模型,最高的是 GLM-5.3-Flash(1294 分,授權 MIT)。
這個分數和 MMMU 等基準測試有什麼區別?
MMMU 等是固定題庫的自動評分;這裡是真人用自己的圖片和問題做盲測投票,反映實際使用中的偏好,兩者不能直接換算。