Vision Model Leaderboard: Best Vision-Language Models
Ranked by LMArena Vision Arena scores: users upload an image, ask a question, and vote between two anonymous models’ answers.
- Top open-weight
GLM-5.3-Flash1317Z.ai
In LMArena Vision Arena data published Oct 19, 2026, Anthropic’s Claude Fable 5 (High) ranks #1 of 167 models with 1325 (14,714 votes).
Full leaderboard · Diagrams
123 modelsSorted by LMArena score by default; ± is half the 95% confidence interval. Category columns show the model’s score on that sub-board; – means no score.
| # | Model | LMArena · Diagrams | License | ||
|---|---|---|---|---|---|
| Score↓ | Rank | Votes | |||
| 1 | 1357±10 | 1 | 3,956 | Proprietary | |
| 2 | 1348±10 | 2 | 4,520 | Proprietary | |
| 3 | 1345±23 | 3 | 711 | Proprietary | |
| 4 | 1345±18 | 4 | 1,159 | Proprietary | |
| 5 | 1343±18 | 5 | 1,179 | Proprietary | |
| 6 | 1340±9 | 6 | 7,249 | Proprietary | |
| 7 | 1336±9 | 7 | 6,240 | Proprietary | |
| 8 | 1336±9 | 8 | 6,411 | Proprietary | |
| 9 | 1332±9 | 9 | 5,987 | Proprietary | |
| 10 | 1330±17 | 10 | 1,352 | Proprietary | |
| 11 | 1329±17 | 11 | 1,364 | Proprietary | |
| 12 | 1329±24 | 12 | 625 | Proprietary | |
| 13 | 1327±8 | 13 | 8,230 | Proprietary | |
| 14 | 1325±8 | 14 | 7,798 | Proprietary | |
| 15 | 1323±11 | 15 | 3,618 | Proprietary | |
| 16 | 1323±12 | 16 | 2,497 | Proprietary | |
| 17 | 1318±11 | 17 | 3,586 | Proprietary | |
| 18 | 1318±17 | 18 | 1,236 | Proprietary | |
| 19 | 1317±8 | 19 | 7,220 | Proprietary | |
| 20 | 1317±10 | 20 | 3,995 | MIT | |
| 21 | 1317±26 | 21 | 544 | Proprietary | |
| 22 | 1316±9 | 22 | 6,221 | Proprietary | |
| 23 | 1315±10 | 23 | 4,883 | Proprietary | |
| 24 | 1314±13 | 24 | 2,285 | Proprietary | |
| 25 | 1311±7 | 25 | 12,416 | Proprietary | |
| 26 | 1309±15 | 26 | 1,600 | Proprietary | |
| 27 | SStep 5 PreviewStepFun | 1308±29 | 27 | 423 | Proprietary |
| 28 | 1306±8 | 28 | 7,630 | Proprietary | |
| 29 | 1306±25 | 29 | 573 | Proprietary | |
| 30 | 1305±12 | 30 | 2,880 | Proprietary | |
| 31 | 1305±11 | 31 | 3,340 | Proprietary | |
| 32 | 1304±11 | 32 | 3,227 | Proprietary | |
| 33 | 1302±9 | 33 | 4,921 | Proprietary | |
| 34 | 1301±12 | 34 | 2,978 | Proprietary | |
| 35 | 1298±10 | 35 | 4,304 | Modified MIT | |
| 36 | 1297±19 | 36 | 966 | Proprietary | |
| 37 | 1297±19 | 37 | 1,085 | MIT | |
| 38 | 1295±11 | 38 | 3,090 | Proprietary | |
| 39 | 1293±10 | 39 | 3,718 | Proprietary | |
| 40 | 1292±10 | 40 | 3,752 | Proprietary | |
| 41 | 1290±7 | 41 | 9,994 | Proprietary | |
| 42 | 1289±12 | 42 | 2,846 | Proprietary | |
| 43 | 1288±37 | 43 | 243 | Proprietary | |
| 44 | 1286±7 | 44 | 11,284 | Proprietary | |
| 45 | 1285±14 | 45 | 1,838 | Proprietary | |
| 46 | 1285±14 | 46 | 1,863 | Apache 2.0 | |
| 47 | 1285±10 | 47 | 4,187 | Proprietary | |
| 48 | 1284±13 | 48 | 2,334 | Proprietary | |
| 49 | 1283±8 | 49 | 10,238 | Apache 2.0 | |
| 50 | 1282±8 | 50 | 7,385 | Modified MIT | |
| 51 | 1281±27 | 51 | 473 | MIT | |
| 52 | 1277±7 | 52 | 8,623 | Apache 2.0 | |
| 53 | 1276±7 | 53 | 9,717 | Proprietary | |
| 54 | 1276±20 | 54 | 919 | MIT | |
| 55 | 1274±7 | 55 | 9,768 | Proprietary | |
| 56 | 1273±14 | 56 | 2,193 | Proprietary | |
| 57 | 1273±12 | 57 | 2,789 | Proprietary | |
| 58 | 1270±21 | 58 | 844 | Proprietary | |
| 59 | 1269±8 | 59 | 7,723 | MIT | |
| 60 | 1268±31 | 60 | 345 | Proprietary | |
| 61 | 1267±9 | 61 | 7,150 | Proprietary | |
| 62 | 1266±9 | 62 | 5,289 | MiniMax Community License | |
| 63 | 1266±9 | 63 | 6,940 | Proprietary | |
| 64 | 1265±9 | 64 | 4,773 | Proprietary | |
| 65 | 1264±13 | 65 | 2,263 | Proprietary | |
| 66 | 1264±9 | 66 | 6,239 | Apache 2.0 | |
| 67 | 1261±9 | 67 | 6,514 | Proprietary | |
| 68 | 1257±19 | 68 | 955 | Modified MIT | |
| 69 | 1256±12 | 69 | 2,813 | Proprietary | |
| 70 | 1255±11 | 70 | 2,727 | Apache 2.0 | |
| 71 | 1255±10 | 71 | 3,746 | Proprietary | |
| 72 | 1254±20 | 72 | 938 | Proprietary | |
| 73 | 1254±16 | 73 | 1,538 | Modified MIT | |
| 74 | 1252±13 | 74 | 2,522 | Proprietary | |
| 75 | TInkling-SmallThinking MachinesOpen | 1251±14 | 75 | 2,071 | Apache 2.0 |
| 76 | 1250±19 | 76 | 963 | Proprietary | |
| 77 | 1249±11 | 77 | 3,455 | Apache 2.0 | |
| 78 | 1249±8 | 78 | 7,927 | Apache 2.0 | |
| 79 | 1246±9 | 79 | 5,108 | Proprietary | |
| 80 | 1245±20 | 80 | 905 | Proprietary | |
| 81 | 1245±7 | 81 | 8,547 | Proprietary | |
| 82 | 1244±12 | 82 | 2,467 | Proprietary | |
| 83 | 1242±8 | 83 | 7,269 | Proprietary | |
| 84 | 1241±8 | 84 | 7,408 | Proprietary | |
| 85 | 1240±13 | 85 | 2,334 | Apache 2.0 | |
| 86 | 1236±21 | 86 | 709 | Proprietary | |
| 87 | 1227±12 | 87 | 2,969 | Proprietary | |
| 88 | NNVIDIA-Nemotron-3.5-Super-VL-120B-A12B (NVFP4)NVIDIAOpen | 1223±24 | 88 | 651 | OpenMDW-1.1 |
| 89 | 1220±12 | 89 | 3,574 | Proprietary | |
| 90 | 1215±13 | 90 | 2,758 | Proprietary | |
| 91 | 1214±27 | 91 | 464 | Apache 2.0 | |
| 92 | 1210±9 | 92 | 6,840 | Proprietary | |
| 93 | 1210±11 | 93 | 3,459 | Proprietary | |
| 94 | 1204±13 | 94 | 2,440 | Proprietary | |
| 95 | 1202±15 | 95 | 1,936 | Proprietary | |
| 96 | 1200±37 | 96 | 228 | Proprietary | |
| 97 | 1197±13 | 97 | 2,826 | Proprietary | |
| 98 | 1197±19 | 98 | 984 | Proprietary | |
| 99 | 1194±26 | 99 | 485 | Proprietary | |
| 100 | 1186±13 | 100 | 2,436 | Proprietary | |
| 101 | SStep-1o Turbo (202506)StepFun | 1185±29 | 101 | 385 | Proprietary |
| 102 | 1182±23 | 102 | 578 | MIT | |
| 103 | 1182±14 | 103 | 2,365 | Proprietary | |
| 104 | 1179±35 | 104 | 279 | Proprietary | |
| 105 | 1178±29 | 105 | 391 | Proprietary | |
| 106 | 1177±26 | 106 | 461 | Proprietary | |
| 107 | 1176±33 | 107 | 301 | Proprietary | |
| 108 | 1175±11 | 108 | 3,741 | Proprietary | |
| 109 | 1156±15 | 109 | 1,715 | Gemma | |
| 110 | SStep-3StepFunOpen | 1155±30 | 110 | 347 | Apache 2.0 |
| 111 | 1155±16 | 111 | 1,423 | Proprietary | |
| 112 | 1153±32 | 112 | 291 | Proprietary | |
| 113 | 1151±30 | 113 | 369 | MIT | |
| 114 | 1149±18 | 114 | 1,109 | Proprietary | |
| 115 | 1141±26 | 115 | 518 | Proprietary | |
| 116 | 1135±35 | 116 | 257 | Proprietary | |
| 117 | 1134±32 | 117 | 314 | Proprietary | |
| 118 | 1134±19 | 118 | 947 | Llama 4 | |
| 119 | 1125±18 | 119 | 1,166 | Apache 2.0 | |
| 120 | 1125±20 | 120 | 845 | Llama | |
| 121 | 1119±16 | 121 | 1,627 | Apache 2.0 | |
| 122 | 1077±33 | 122 | 319 | Proprietary | |
| 123 | 1072±39 | 123 | 284 | Apache 2.0 | |
Scores: LMArena leaderboard-dataset (lmarena-ai on Hugging Face, CC-BY-4.0, vision config), Diagrams published Oct 19, 2026. Please credit the source when citing.
Sources & methodology
- LMLMArena leaderboard dataset (Hugging Face, CC-BY-4.0)
Vision config, published Oct 19, 2026; 167 models on the overall board.
- Scores are Bradley-Terry Arena ratings fitted from human votes between two anonymous answers to the same image prompt.
- Categories (OCR, diagrams, homework, captioning, Chinese/English…) are separate LMArena boards computed on prompts of that type, not a breakdown of the overall score; ranks can differ a lot.
- Fields without public data (price, context length, release date…) are not shown; blanks are –. Nothing is estimated.
- Synced daily. JSON API: /api/public/vision-leaderboard.php
FAQ
What is the best vision-language model right now?
In LMArena Vision Arena data published Oct 19, 2026, Anthropic’s Claude Fable 5 (High) ranks #1 of 167 models with 1325 (14,714 votes).
What is each vendor’s best vision model?
Top overall entry per vendor: 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).
Which model is best at OCR?
On LMArena’s OCR board (123 models), Claude Fable 5 (High) is #1 with 1337.
What is the best open-weight vision model?
50 open-weight models are listed; the top one is GLM-5.3-Flash (1294, MIT).
How is this different from benchmarks like MMMU?
MMMU and similar benchmarks auto-score a fixed question set; this board comes from blind human votes on people’s own images and questions, reflecting real-use preference. They are not convertible.