Best AI for images: 167 models ranked by blind votes
Prompts that come with an image: reading a chart, describing a photo, working from a screenshot. Ranked by LMArena’s blind votes, every score with its margin of error and, beside it, the list price of each model on our price list.
Scores from LMArena, published 19 October 2026, under CC BY 4.0. Prices from each maker’s pricing page, read on 15 October 2026.
- Models ranked
- 167
- Level with the leader
- 10
- On our price list
- 0
- Published
- 19 October 2026
Level: the votes cannot separate it from the leader.
On LMArena’s Vision board, Claude Fable 5 (High) from Anthropic leads with 1309 points from 14,714 blind votes, published 19 October 2026. 9 other models are statistically level with it. None of the models it ranks has an API price on our list yet.
Best AI for images
Prompts that come with an image: reading a chart, describing a photo, working from a screenshot.
| # | Model | Score | Votes | Per 1M tokens, in / out |
|---|---|---|---|---|
| 1 | Claude Fable 5 (High)Anthropic | 95% interval 1302 to 1316 | 14,714 | · |
| 1 | Qwen3.8-MaxAlibaba | 95% interval 1293 to 1308 | 9,957 | · |
| 1 | Claude Opus 4.6 (High)Anthropic | 95% interval 1293 to 1306 | 22,286 | · |
| 1 | Claude Opus 4.7Anthropic | 95% interval 1292 to 1305 | 23,139 | · |
| 1 | Claude Opus 4.7 (High)Anthropic | 95% interval 1291 to 1304 | 22,731 | · |
| 1 | Gemini 3.7 Flash (High)Google | 95% interval 1286 to 1304 | 5,369 | · |
| 1 | Muse SparkMeta | 95% interval 1285 to 1303 | 5,865 | · |
| 1 | GPT-6.1 Sol (Max)OpenAI | 95% interval 1281 to 1307 | 2,330 | · |
| 1 | Claude Opus 5.5 (High)Anthropic | 95% interval 1281 to 1305 | 3,035 | · |
| 1 | Muse Spark 1.2 (xHigh)Meta | 95% interval 1278 to 1307 | 1,948 | · |
| 2 | Claude Opus 4.6Anthropic | 95% interval 1287 to 1300 | 26,841 | · |
| 2 | Gemini 3.8 Flash (High)Google | 95% interval 1281 to 1301 | 4,645 | · |
| 2 | Muse Spark 1.3 (Max)Meta | 95% interval 1280 to 1299 | 5,392 | · |
| 2 | Gemini 3 ProGoogle | 95% interval 1282 to 1297 | 13,623 | · |
| 2 | Claude Opus 5 (High)Anthropic | 95% interval 1281 to 1295 | 17,743 | · |
| 2 | Muse Spark 1.3 (xHigh)Meta | 95% interval 1278 to 1297 | 4,897 | · |
| 2 | Claude Fable 5.1 (Max)Anthropic | 95% interval 1278 to 1297 | 5,026 | · |
| 2 | GPT-5.6 Sol (xHigh)OpenAI | 95% interval 1279 to 1294 | 11,439 | · |
| 2 | GPT-6 Astra (Max)OpenAI | 95% interval 1275 to 1295 | 4,012 | · |
| 4 | Claude Opus 4.8 (High)Anthropic | 95% interval 1279 to 1292 | 18,303 | · |
| 5 | GPT-5.5OpenAI | 95% interval 1280 to 1292 | 28,781 | · |
| 6 | GPT-5.4 (High)OpenAI | 95% interval 1278 to 1290 | 30,747 | · |
| 6 | Gemini 3.5 Flash (Medium)Google | 95% interval 1276 to 1289 | 14,061 | · |
| 6 | Gemini 3.5 Flash (High)Google | 95% interval 1275 to 1289 | 13,862 | · |
| 6 | GPT-5.5 (High)OpenAI | 95% interval 1276 to 1288 | 27,067 | · |
| 6 | Gemini 3.6 Flash (High)Google | 95% interval 1274 to 1290 | 8,979 | · |
| 7 | Muse Spark 1.1Meta | 95% interval 1273 to 1287 | 12,804 | · |
| 7 | Grok 4.5xAI | 95% interval 1272 to 1286 | 12,599 | · |
| 8 | Claude Opus 4.8Anthropic | 95% interval 1272 to 1285 | 18,800 | · |
| 8 | GPT-5.4OpenAI | 95% interval 1272 to 1285 | 22,804 | · |
| 9 | Gemini 3.1 Pro PreviewGoogle | 95% interval 1274 to 1285 | 47,114 | · |
| 9 | GPT-5.2 Chat (20260210)OpenAI | 95% interval 1271 to 1284 | 16,465 | · |
| 9 | GPT-5.5 InstantOpenAI | 95% interval 1267 to 1285 | 7,590 | · |
| 11 | Claude Sonnet 4.6Anthropic | 95% interval 1269 to 1281 | 27,408 | · |
| 22 | Gemini 3 FlashGoogle | 95% interval 1267 to 1278 | 39,131 | · |
| 22 | GLM-5.3-FlashZ.ai · open weights | 95% interval 1265 to 1278 | 16,254 | · |
| 22 | GPT-6 Sol (Max)OpenAI | 95% interval 1255 to 1277 | 3,221 | · |
| 22 | Claude Sonnet 5.5 (xHigh)Anthropic | 95% interval 1252 to 1278 | 2,564 | · |
| 25 | GPT-5.6 Terra (xHigh)OpenAI | 95% interval 1261 to 1275 | 11,842 | · |
| 25 | Gemini 3.5 Flash-LiteGoogle | 95% interval 1259 to 1275 | 9,238 | · |
| 32 | Kimi K2.6Moonshot AI · open weights | 95% interval 1258 to 1271 | 16,368 | · |
| 32 | DeepSeek-V4.1-Flash-20260910 (Max)DeepSeek · open weights | 95% interval 1251 to 1272 | 4,100 | · |
| 33 | Qwen3.7-PlusAlibaba | 95% interval 1257 to 1270 | 14,212 | · |
| 33 | Grok 4.6 (High)xAI | 95% interval 1254 to 1271 | 7,261 | · |
| 34 | Claude Sonnet 5 (High)Anthropic | 95% interval 1255 to 1269 | 14,034 | · |
| 34 | Gemma 4 31BGoogle · open weights | 95% interval 1256 to 1268 | 40,219 | · |
| 36 | Gemini 3 Flash (Minimal)Google | 95% interval 1255 to 1265 | 37,173 | · |
| 37 | GPT-5.6 Luna (xHigh)OpenAI | 95% interval 1249 to 1264 | 11,055 | · |
| 37 | Dola Seed 2.0 ProByteDance | 95% interval 1249 to 1264 | 10,972 | · |
| 37 | Grok 4.20 Beta (Reasoning, 0309)xAI | 95% interval 1249 to 1261 | 26,796 | · |
Where the ranking comes from
The scores, intervals and ranks are LMArena’s. The prices are ours.
- Blind votes
- LMArena puts the same prompt to two anonymous models and asks the person who wrote it to pick the better answer. The votes place every model on one scale, where a gap of 100 points means the higher model wins about 64 times in 100.
- Style control
- The scores discount answer length and formatting, so a model does not climb by writing more or by adding headings and lists.
- Shared ranks
- A model’s rank is one plus the number of models whose whole 95% interval sits above its own. Models the votes cannot separate share a rank, which is why several can be first.
- Settings
- A model can appear more than once, at different reasoning settings: the line under its name gives the entry as LMArena lists it. Entries with web search switched on are a different product and carry no price.
- Prices
- The list price per million tokens from the maker’s own pricing page, read on 15 October 2026. It is a price per token, not per answer: a higher reasoning setting spends more tokens on the same question.
Source: LMArena, leaderboard dataset (revision 8b599a3c, published 19 October 2026), licensed under CC BY 4.0. We change no score: we add the prices and the links to our model pages.
What each of them costs to run
The price list works three everyday jobs on every model, and our own benchmark runs them on real business tasks to see which pass.
Scores published 19 October 2026