Vision input

The models on the leaderboard that accept an image as input, ranked on its general board: the same scores, prices and significance ranks, with every model that cannot read an image left out. So "undominated" here means undominated among models that read images. It is not the site's frontier: what beats a model on the full board may not read images at all.

Models on the leaderboard that accept image input, ranked on the general board
RankModelScore$/MVerdict
=1 Claude Opus 5.51511.7$8.00Undominated among models that read images
=1 Claude Fable 5.11510.6$20.00—
=1 Claude Opus 4.61503.2$10.00—
=1 Claude Opus 51502.1$10.00—
=3 Gemini 3.8 Flash1497.0$3.00Undominated among models that read images
=3 MiMo-V2.6-Pro1491.0$0.540Undominated among models that read images
=5 Claude Fable 51491.7$20.00—
=5 Muse Spark 1.31489.9$2.00—
=5 Claude Opus 4.71489.9$10.00—
=5 Gemini 3.7 Flash1487.0$3.00—
=5 Muse Spark 1.21483.2$2.00—
8 Gemini 3.6 Flash1479.5$1.50—
=9 Gemini 3.1 Pro Preview1480.2$4.50—
=9 Muse Spark 1.11479.2$2.00—
10 Gemini 3.5 Flash1477.7$3.38—
11 Kimi K31475.9$3.76—
12 Claude Sonnet 5.51466.6$4.00—
13 GLM 5.3 Flash1469.6$0.238Undominated among models that read images
=17 GPT-5.51466.8$11.25—
=17 DeepSeek V4.1 Flash1462.5$0.182Undominated among models that read images
=17 Claude Opus 4.81461.0$10.00—
18 MiMo-V2.6-Flash1456.4$0.175Undominated among models that read images
=19 Gemini 2.5 Pro1457.8$3.44—
=19 Claude Sonnet 4.61457.8$6.00—
=19 GPT-5.6 Sol1456.3$8.00—
=19 Kimi K2.61455.5$0.961—
=19 Qwen3.7 Plus1454.6$0.560—
=21 GPT-5.41452.2$5.63—
=21 GPT-6.1 Sol1445.6$4.00—
=24 Claude Opus 4.51451.0$10.00—
=24 Grok 4.51448.1$3.00—
=26 GPT-5.6 Terra1446.3$4.50—
=26 Gemma 4 31B1443.4$0.205—
27 GPT-6 Astra1442.3$20.00—
29 Kimi K2.51445.2$1.20—
=30 Claude Sonnet 51442.9$4.00—
=30 Inkling1441.8$1.73—
=30 Qwen3.8 27B1440.7$0.562—
31 GLM 5V Turbo1437.2$1.90—
=33 Claude Sonnet 4.51438.6$6.00—
=33 Qwen3.5 397B A17B1438.0$0.878—
=33 Qwen3.6 Plus1436.7$0.731—
=33 Gemini 3.5 Flash Lite1434.7$0.850—
=33 Gemma 4 26B A4B 1433.9$0.127Undominated among models that read images
35 MiniMax M31432.1$0.485—
38 GPT-5.6 Luna1431.0$0.450—
=42 MiMo-V2.51427.5$0.175—
=42 Grok 4.61427.4$3.00—
45 Mistral Medium 3.51421.2$3.00—
46 Qwen3 VL 235B A22B Instruct1420.1$0.370—
47 GPT-5.11422.2$3.44—
=49 Claude Opus 4.11418.6$30.00—
=49 Qwen3.5-122B-A10B1417.1$0.715—
=49 Gemini 2.5 Flash1417.0$0.850—
=49 Gemini 3.1 Flash Lite Preview1415.7$0.563—
50 Inkling Small1413.7$0.638—
=51 GPT-5.21412.3$4.81—
=51 GPT-5.4 Mini1411.4$1.69—
=54 o31409.9$3.50—
=54 Qwen3.5-27B1408.9$0.536—
56 GPT-51406.1$3.44—
=59 Qwen3 VL 235B A22B Thinking1400.7$1.30—
=59 Grok 4.71399.9$3.00—
61 GPT-6 Sol1395.4$4.00—
=62 Qwen3.5-Flash1397.0$0.114Undominated among models that read images
=62 Grok 4.31396.7$1.56—
=62 Claude Haiku 4.51396.1$2.00—
=62 Qwen3.5-35B-A3B1394.4$0.355—
=62 GPT-6 Luna1391.5$0.200—
=69 GPT-4.11383.0$3.50—
=69 GLM 4.6V1376.8$0.450—
=71 GPT-5 Mini1373.2$0.688—
=71 GPT-5.4 Nano1372.1$0.463—
=71 o11365.8$26.25—
73 Nova 2 Lite1361.8$0.850—
74 Gemma 3 27B1357.8$0.100Undominated among models that read images
75 o4 Mini1353.2$1.93—
=78 GPT-4.1 Mini1340.4$0.700—
=78 Claude Sonnet 41339.1$6.00—
=78 Gemma 3 12B1334.2$0.075Undominated among models that read images
=78 GLM 4.5V1332.8$0.900—
80 GPT-5 Nano1320.0$0.138—
=83 GPT-4o (2024-05-13)1300.4$7.50—
=83 Gemma 3 4B1290.8$0.063Undominated among models that read images
=84 GPT-4o-mini (2024-07-18)1286.4$0.263—
=84 GPT-4.1 Nano1284.8$0.175—
=84 GPT-4o (2024-08-06)1282.5$4.38—
88 GPT-4 Turbo1271.7$15.00—
The 118 on the leaderboard that read images and have no independent score, by name
Evidence & Ask