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
Kimi K2.5 (Thinking)1284Moonshot 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 · Humor
93 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 · Humor | License | ||
|---|---|---|---|---|---|
| Score↓ | Rank | Votes | |||
| 1 | 1344±40 | 1 | 237 | Proprietary | |
| 2 | 1341±25 | 2 | 583 | Proprietary | |
| 3 | 1339±25 | 3 | 611 | Proprietary | |
| 4 | 1322±14 | 4 | 1,885 | Proprietary | |
| 5 | 1321±25 | 5 | 577 | Proprietary | |
| 6 | 1321±45 | 6 | 175 | Proprietary | |
| 7 | 1318±40 | 7 | 208 | Proprietary | |
| 8 | 1314±19 | 8 | 1,026 | Proprietary | |
| 9 | 1314±21 | 9 | 867 | Proprietary | |
| 10 | 1313±26 | 10 | 565 | Proprietary | |
| 11 | 1309±21 | 11 | 889 | Proprietary | |
| 12 | 1305±20 | 12 | 896 | Proprietary | |
| 13 | 1304±29 | 13 | 435 | Proprietary | |
| 14 | 1299±41 | 14 | 215 | Proprietary | |
| 15 | 1293±21 | 15 | 876 | Proprietary | |
| 16 | 1293±42 | 16 | 208 | Proprietary | |
| 17 | 1293±18 | 17 | 1,075 | Proprietary | |
| 18 | 1291±16 | 18 | 1,442 | Proprietary | |
| 19 | 1289±29 | 19 | 427 | Proprietary | |
| 20 | 1288±25 | 20 | 577 | Proprietary | |
| 21 | 1288±39 | 21 | 222 | Proprietary | |
| 22 | 1287±30 | 22 | 396 | Proprietary | |
| 23 | 1284±18 | 23 | 1,143 | Proprietary | |
| 24 | 1284±18 | 24 | 1,083 | Modified MIT | |
| 25 | 1282±22 | 25 | 756 | Proprietary | |
| 26 | 1281±22 | 26 | 783 | Proprietary | |
| 27 | 1281±20 | 27 | 935 | Proprietary | |
| 28 | 1280±25 | 28 | 590 | Modified MIT | |
| 29 | 1280±15 | 29 | 1,659 | Apache 2.0 | |
| 30 | 1279±23 | 30 | 671 | MIT | |
| 31 | 1279±19 | 31 | 1,003 | Proprietary | |
| 32 | 1277±16 | 32 | 1,389 | Proprietary | |
| 33 | 1277±18 | 33 | 1,130 | Proprietary | |
| 34 | 1276±25 | 34 | 573 | Proprietary | |
| 35 | 1275±30 | 35 | 393 | Proprietary | |
| 36 | 1272±19 | 36 | 993 | Apache 2.0 | |
| 37 | 1270±33 | 37 | 320 | Proprietary | |
| 38 | 1268±15 | 38 | 1,765 | Proprietary | |
| 39 | 1266±19 | 39 | 979 | Proprietary | |
| 40 | 1263±32 | 40 | 376 | Proprietary | |
| 41 | 1262±15 | 41 | 3,133 | Proprietary | |
| 42 | 1262±17 | 42 | 1,223 | Apache 2.0 | |
| 43 | 1262±21 | 43 | 844 | Proprietary | |
| 44 | 1261±25 | 44 | 556 | Proprietary | |
| 45 | 1261±40 | 45 | 241 | Proprietary | |
| 46 | 1261±24 | 46 | 628 | Proprietary | |
| 47 | 1260±45 | 47 | 166 | MIT | |
| 48 | 1255±37 | 48 | 216 | Proprietary | |
| 49 | 1248±19 | 49 | 1,060 | Proprietary | |
| 50 | 1248±22 | 50 | 795 | Proprietary | |
| 51 | 1246±25 | 51 | 569 | Proprietary | |
| 52 | 1243±27 | 52 | 468 | Apache 2.0 | |
| 53 | 1239±28 | 53 | 482 | Proprietary | |
| 54 | 1239±26 | 54 | 552 | Proprietary | |
| 55 | 1236±26 | 55 | 526 | Proprietary | |
| 56 | 1235±32 | 56 | 347 | Apache 2.0 | |
| 57 | 1235±21 | 57 | 868 | Proprietary | |
| 58 | 1235±22 | 58 | 773 | MiniMax Community License | |
| 59 | 1227±31 | 59 | 340 | Proprietary | |
| 60 | 1227±18 | 60 | 1,195 | Apache 2.0 | |
| 61 | 1227±24 | 61 | 681 | Proprietary | |
| 62 | 1226±46 | 62 | 155 | Modified MIT | |
| 63 | 1226±18 | 63 | 1,147 | MIT | |
| 64 | 1225±15 | 64 | 2,192 | Proprietary | |
| 65 | 1222±19 | 65 | 1,643 | Proprietary | |
| 66 | 1222±19 | 66 | 1,069 | Proprietary | |
| 67 | 1219±20 | 67 | 1,448 | Proprietary | |
| 68 | 1218±29 | 68 | 452 | Apache 2.0 | |
| 69 | 1216±39 | 69 | 238 | Modified MIT | |
| 70 | 1209±26 | 70 | 508 | Apache 2.0 | |
| 71 | 1209±21 | 71 | 1,135 | Proprietary | |
| 72 | TInkling-SmallThinking MachinesOpen | 1207±30 | 72 | 384 | Apache 2.0 |
| 73 | 1207±21 | 73 | 1,318 | Proprietary | |
| 74 | 1205±22 | 74 | 1,047 | Proprietary | |
| 75 | 1199±20 | 75 | 1,449 | Proprietary | |
| 76 | 1196±24 | 76 | 659 | Proprietary | |
| 77 | 1196±21 | 77 | 1,365 | Proprietary | |
| 78 | 1194±43 | 78 | 178 | Proprietary | |
| 79 | 1190±27 | 79 | 502 | Proprietary | |
| 80 | 1187±21 | 80 | 1,387 | Proprietary | |
| 81 | 1184±32 | 81 | 370 | Proprietary | |
| 82 | 1182±21 | 82 | 1,403 | Proprietary | |
| 83 | 1170±37 | 83 | 212 | Proprietary | |
| 84 | 1168±19 | 84 | 1,502 | Proprietary | |
| 85 | 1166±24 | 85 | 762 | Gemma | |
| 86 | 1165±41 | 86 | 227 | Proprietary | |
| 87 | 1161±21 | 87 | 923 | Proprietary | |
| 88 | 1145±30 | 88 | 440 | Proprietary | |
| 89 | 1142±23 | 89 | 933 | Apache 2.0 | |
| 90 | 1140±30 | 90 | 481 | Apache 2.0 | |
| 91 | 1110±47 | 91 | 174 | Proprietary | |
| 92 | 1102±45 | 92 | 191 | Llama | |
| 93 | 1100±40 | 93 | 216 | Llama 4 | |
Scores: LMArena leaderboard-dataset (lmarena-ai on Hugging Face, CC-BY-4.0, vision config), Humor 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.