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-Flash1318Z.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 · Homework
118 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 · Homework | License | ||
|---|---|---|---|---|---|
| Score↑ | Rank | Votes | |||
| 1 | 1069±50 | 118 | 187 | Apache 2.0 | |
| 2 | 1119±39 | 117 | 212 | Proprietary | |
| 3 | 1136±39 | 116 | 210 | Proprietary | |
| 4 | 1148±26 | 115 | 477 | Llama | |
| 5 | 1155±36 | 113 | 271 | MIT | |
| 6 | SStep-1o Turbo (202506)StepFun | 1155±36 | 114 | 237 | Proprietary |
| 7 | 1157±35 | 112 | 260 | Proprietary | |
| 8 | 1158±21 | 111 | 809 | Apache 2.0 | |
| 9 | 1160±19 | 110 | 1,034 | Gemma | |
| 10 | 1163±38 | 109 | 215 | MIT | |
| 11 | 1164±25 | 108 | 526 | Llama 4 | |
| 12 | 1165±13 | 106 | 2,146 | Proprietary | |
| 13 | 1165±21 | 107 | 809 | Proprietary | |
| 14 | 1170±19 | 105 | 1,075 | Proprietary | |
| 15 | 1172±14 | 104 | 2,064 | Proprietary | |
| 16 | 1173±24 | 103 | 614 | Apache 2.0 | |
| 17 | 1175±22 | 102 | 763 | Proprietary | |
| 18 | SStep-3StepFunOpen | 1183±39 | 101 | 215 | Apache 2.0 |
| 19 | 1190±17 | 100 | 1,327 | Proprietary | |
| 20 | 1192±42 | 99 | 171 | Proprietary | |
| 21 | 1197±45 | 98 | 161 | Proprietary | |
| 22 | 1206±37 | 97 | 217 | Proprietary | |
| 23 | 1210±19 | 96 | 976 | Proprietary | |
| 24 | 1214±17 | 95 | 1,310 | Proprietary | |
| 25 | 1215±36 | 93 | 230 | Proprietary | |
| 26 | 1215±22 | 94 | 605 | Proprietary | |
| 27 | 1216±20 | 92 | 977 | Apache 2.0 | |
| 28 | 1225±11 | 91 | 3,429 | Proprietary | |
| 29 | 1227±16 | 90 | 1,409 | Proprietary | |
| 30 | 1228±33 | 89 | 306 | Proprietary | |
| 31 | NNVIDIA-Nemotron-3.5-Super-VL-120B-A12B (NVFP4)NVIDIAOpen | 1229±32 | 88 | 380 | OpenMDW-1.1 |
| 32 | 1230±22 | 87 | 803 | Modified MIT | |
| 33 | 1234±32 | 84 | 298 | Apache 2.0 | |
| 34 | 1234±16 | 85 | 1,588 | Proprietary | |
| 35 | 1234±15 | 86 | 1,930 | Proprietary | |
| 36 | 1241±11 | 82 | 3,560 | Proprietary | |
| 37 | 1241±33 | 83 | 297 | Proprietary | |
| 38 | 1243±15 | 81 | 1,417 | Proprietary | |
| 39 | 1244±9 | 80 | 4,863 | Proprietary | |
| 40 | 1247±18 | 79 | 1,173 | Proprietary | |
| 41 | 1248±16 | 78 | 1,478 | Proprietary | |
| 42 | 1252±13 | 77 | 2,120 | Proprietary | |
| 43 | 1253±29 | 75 | 363 | Proprietary | |
| 44 | 1253±15 | 76 | 1,629 | Proprietary | |
| 45 | 1256±10 | 74 | 3,843 | Apache 2.0 | |
| 46 | TInkling-SmallThinking MachinesOpen | 1257±20 | 73 | 835 | Apache 2.0 |
| 47 | 1258±11 | 72 | 3,018 | Proprietary | |
| 48 | 1261±14 | 70 | 1,929 | Apache 2.0 | |
| 49 | 1261±25 | 71 | 550 | Proprietary | |
| 50 | 1262±10 | 69 | 4,076 | MIT | |
| 51 | 1264±39 | 67 | 226 | MIT | |
| 52 | 1264±23 | 68 | 573 | Modified MIT | |
| 53 | SStep 5 PreviewStepFun | 1265±38 | 66 | 233 | Proprietary |
| 54 | 1268±13 | 65 | 2,405 | MiniMax Community License | |
| 55 | 1269±11 | 64 | 3,619 | Proprietary | |
| 56 | 1271±10 | 63 | 3,947 | Proprietary | |
| 57 | 1272±17 | 62 | 1,218 | Proprietary | |
| 58 | 1273±9 | 61 | 5,226 | Proprietary | |
| 59 | 1275±11 | 60 | 3,348 | Proprietary | |
| 60 | 1276±12 | 59 | 2,888 | Proprietary | |
| 61 | 1277±14 | 58 | 1,611 | Apache 2.0 | |
| 62 | 1278±17 | 57 | 1,325 | Proprietary | |
| 63 | 1281±9 | 56 | 5,415 | Proprietary | |
| 64 | 1282±18 | 55 | 1,128 | Proprietary | |
| 65 | 1283±20 | 52 | 873 | Proprietary | |
| 66 | 1283±23 | 53 | 604 | Proprietary | |
| 67 | 1283±26 | 54 | 546 | MIT | |
| 68 | 1284±14 | 51 | 1,842 | Proprietary | |
| 69 | 1285±11 | 50 | 3,492 | Proprietary | |
| 70 | 1286±26 | 48 | 518 | Proprietary | |
| 71 | 1286±12 | 49 | 2,485 | Proprietary | |
| 72 | 1287±16 | 47 | 1,354 | Proprietary | |
| 73 | 1291±19 | 46 | 1,010 | Proprietary | |
| 74 | 1292±10 | 45 | 4,001 | Apache 2.0 | |
| 75 | 1293±10 | 44 | 3,822 | Apache 2.0 | |
| 76 | 1295±17 | 41 | 1,284 | Proprietary | |
| 77 | 1295±15 | 42 | 1,646 | Proprietary | |
| 78 | 1295±20 | 43 | 919 | Apache 2.0 | |
| 79 | 1296±23 | 39 | 680 | Proprietary | |
| 80 | 1296±21 | 40 | 752 | Proprietary | |
| 81 | 1297±10 | 38 | 3,649 | Modified MIT | |
| 82 | 1298±9 | 37 | 5,051 | Proprietary | |
| 83 | 1299±19 | 36 | 945 | Proprietary | |
| 84 | 1305±17 | 35 | 1,190 | Proprietary | |
| 85 | 1307±25 | 34 | 521 | MIT | |
| 86 | 1309±12 | 32 | 3,080 | Proprietary | |
| 87 | 1309±25 | 33 | 517 | Proprietary | |
| 88 | 1310±13 | 30 | 2,263 | Modified MIT | |
| 89 | 1310±9 | 31 | 6,435 | Apache 2.0 | |
| 90 | 1311±11 | 28 | 3,700 | Proprietary | |
| 91 | 1311±16 | 29 | 1,500 | Proprietary | |
| 92 | 1312±17 | 27 | 1,286 | Proprietary | |
| 93 | 1313±9 | 26 | 5,232 | Proprietary | |
| 94 | 1314±19 | 25 | 993 | Proprietary | |
| 95 | 1315±14 | 24 | 1,779 | Proprietary | |
| 96 | 1316±8 | 23 | 6,293 | Proprietary | |
| 97 | 1318±13 | 22 | 2,229 | MIT | |
| 98 | 1320±23 | 21 | 665 | Proprietary | |
| 99 | 1321±15 | 20 | 1,641 | Proprietary | |
| 100 | 1327±11 | 18 | 3,688 | Proprietary | |
| 101 | 1327±11 | 19 | 3,602 | Proprietary | |
| 102 | 1328±13 | 17 | 2,232 | Proprietary | |
| 103 | 1330±15 | 16 | 1,553 | Proprietary | |
| 104 | 1331±30 | 15 | 395 | Proprietary | |
| 105 | 1332±11 | 14 | 3,535 | Proprietary | |
| 106 | 1335±12 | 13 | 3,157 | Proprietary | |
| 107 | 1336±10 | 11 | 4,003 | Proprietary | |
| 108 | 1336±19 | 12 | 909 | Proprietary | |
| 109 | 1337±25 | 7 | 560 | Proprietary | |
| 110 | 1337±12 | 8 | 3,084 | Proprietary | |
| 111 | 1337±13 | 9 | 2,077 | Proprietary | |
| 112 | 1337±12 | 10 | 2,845 | Proprietary | |
| 113 | 1338±14 | 6 | 1,899 | Proprietary | |
| 114 | 1345±21 | 5 | 756 | Proprietary | |
| 115 | 1351±22 | 4 | 681 | Proprietary | |
| 116 | 1356±31 | 3 | 368 | Proprietary | |
| 117 | 1361±15 | 2 | 1,751 | Proprietary | |
| 118 | 1362±29 | 1 | 422 | Proprietary | |
Scores: LMArena leaderboard-dataset (lmarena-ai on Hugging Face, CC-BY-4.0, vision config), Homework 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
This week
Collecting data: 1/7 days recorded; weekly changes appear after 7 days
Synced automatically once a day; ranks are compared only between real snapshots, never backfilled.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.