Multimodal benchmark # LMArena Vision leaderboard > LMArena Vision results for 122 AI models, led by Claude Fable 5 at 1324. What the benchmark measures, who runs it, and a source for every score. - Canonical page: https://noometry.com/benchmarks/arena-vision - Last updated: 2026-10-10 - Title: LMArena Vision Leaderboard (October 2026): Scores by Model As of October 2026, Claude Fable 5 has the highest published LMArena Vision score on Noometry at 1324, out of 122 models with results. Last verified October 10, 2026 ## About LMArena Vision Blind votes on answers to prompts that include images. - **Category:** [Multimodal](https://noometry.com/best/multimodal) - **Introduced:** 2024 - **Format:** Pairwise human votes - **Unit:** Arena rating (Bradley–Terry) - **Official site:** [lmarena.ai](https://lmarena.ai/leaderboard/vision) ## Top 15 models Top models on LMArena Vision 1. Claude Fable 5 1324 2. Claude Opus 5.5 1321 3. Claude Opus 5 1319 4. Claude Fable 5.1 1318 5. Claude Opus 4.7 1316 6. Gemini 3.7 Flash 1316 7. Claude Opus 4.6 1316 8. Gemini 3.8 Flash 1314 9. Qwen3.8 Max 1314 10. Gemini 3.5 Flash 1310 11. Muse Spark 1.3 1309 12. Muse Spark 1306 13. Gemini 3 Pro 1305 14. Muse Spark 1.2 1305 15. GPT-5.4 1303 16. 12901300131013201330 Sponsored placements are available on pages like this one. [Advertise on Noometry](https://noometry.com/advertise) ## All results LMArena Vision results by model | # | Model | Provider | Rating | Setting | Source | Date | | --- | --- | --- | --- | --- | --- | --- | | 1 | [Claude Fable 5](https://noometry.com/models/claude-fable-5) | [Anthropic](https://noometry.com/providers/anthropic) | 1324 | high | [LMArena](https://lmarena.ai/leaderboard/vision) | 2026-10-09 | | 2 | [Claude Opus 5.5](https://noometry.com/models/claude-opus-5-5) | [Anthropic](https://noometry.com/providers/anthropic) | 1321 | high | [LMArena](https://lmarena.ai/leaderboard/vision) | 2026-10-09 | | 3 | [Claude Opus 5](https://noometry.com/models/claude-opus-5) | [Anthropic](https://noometry.com/providers/anthropic) | 1319 | high | [LMArena](https://lmarena.ai/leaderboard/vision) | 2026-10-09 | | 4 | [Claude Fable 5.1](https://noometry.com/models/claude-fable-5-1) | [Anthropic](https://noometry.com/providers/anthropic) | 1318 | | [LMArena](https://lmarena.ai/leaderboard/vision) | 2026-10-09 | | 5 | [Claude Opus 4.7](https://noometry.com/models/claude-opus-4-7) | [Anthropic](https://noometry.com/providers/anthropic) | 1316 | | [LMArena](https://lmarena.ai/leaderboard/vision) | 2026-10-09 | | 6 | [Gemini 3.7 Flash](https://noometry.com/models/gemini-3-7-flash) | [![](/logos/google.svg) Google](https://noometry.com/providers/google) | 1316 | high | [LMArena](https://lmarena.ai/leaderboard/vision) | 2026-10-09 | | 7 | [Claude Opus 4.6](https://noometry.com/models/claude-opus-4-6) | [Anthropic](https://noometry.com/providers/anthropic) | 1316 | high | [LMArena](https://lmarena.ai/leaderboard/vision) | 2026-10-09 | | 8 | [Gemini 3.8 Flash](https://noometry.com/models/gemini-3-8-flash) | [![](/logos/google.svg) Google](https://noometry.com/providers/google) | 1314 | high | [LMArena](https://lmarena.ai/leaderboard/vision) | 2026-10-09 | | 9 | [Qwen3.8 Max](https://noometry.com/models/qwen3-8-max) | [![](/logos/alibaba.svg) Alibaba (Qwen)](https://noometry.com/providers/alibaba) | 1314 | | [LMArena](https://lmarena.ai/leaderboard/vision) | 2026-10-09 | | 10 | [Gemini 3.5 Flash](https://noometry.com/models/gemini-3-5-flash) | [![](/logos/google.svg) Google](https://noometry.com/providers/google) | 1310 | high | [LMArena](https://lmarena.ai/leaderboard/vision) | 2026-10-09 | | 11 | [Muse Spark 1.3](https://noometry.com/models/muse-spark-1-3) | [![](/logos/meta.svg) Meta](https://noometry.com/providers/meta) | 1309 | | [LMArena](https://lmarena.ai/leaderboard/vision) | 2026-10-09 | | 12 | [Muse Spark](https://noometry.com/models/muse-spark) | [![](/logos/meta.svg) Meta](https://noometry.com/providers/meta) | 1306 | | [LMArena](https://lmarena.ai/leaderboard/vision) | 2026-10-09 | | 13 | [Gemini 3 Pro](https://noometry.com/models/gemini-3-pro) | [![](/logos/google.svg) Google](https://noometry.com/providers/google) | 1305 | | [LMArena](https://lmarena.ai/leaderboard/vision) | 2026-10-09 | | 14 | [Muse Spark 1.2](https://noometry.com/models/muse-spark-1-2) | [![](/logos/meta.svg) Meta](https://noometry.com/providers/meta) | 1305 | muse-spark-1.2 (xHigh) | [LMArena](https://lmarena.ai/leaderboard/vision) | 2026-10-09 | | 15 | [GPT-5.4](https://noometry.com/models/gpt-5-4) | [OpenAI](https://noometry.com/providers/openai) | 1303 | high | [LMArena](https://lmarena.ai/leaderboard/vision) | 2026-10-09 | | 16 | [Gemini 3.6 Flash](https://noometry.com/models/gemini-3-6-flash) | [![](/logos/google.svg) Google](https://noometry.com/providers/google) | 1298 | high | [LMArena](https://lmarena.ai/leaderboard/vision) | 2026-10-09 | | 17 | [GPT-5.5](https://noometry.com/models/gpt-5-5) | [OpenAI](https://noometry.com/providers/openai) | 1297 | | [LMArena](https://lmarena.ai/leaderboard/vision) | 2026-10-09 | | 18 | [Gemini 3.1 Pro Preview](https://noometry.com/models/gemini-3-1-pro-preview) | [![](/logos/google.svg) Google](https://noometry.com/providers/google) | 1296 | | [LMArena](https://lmarena.ai/leaderboard/vision) | 2026-10-09 | | 19 | [GLM-5.3-Flash](https://noometry.com/models/glm-5-3-flash) | [Z.ai (Zhipu)](https://noometry.com/providers/zai) | 1296 | | [LMArena](https://lmarena.ai/leaderboard/vision) | 2026-10-09 | | 20 | [Claude Opus 4.8](https://noometry.com/models/claude-opus-4-8) | [Anthropic](https://noometry.com/providers/anthropic) | 1294 | high | [LMArena](https://lmarena.ai/leaderboard/vision) | 2026-10-09 | | 21 | [Muse Spark 1.1](https://noometry.com/models/muse-spark-1-1) | [![](/logos/meta.svg) Meta](https://noometry.com/providers/meta) | 1293 | | [LMArena](https://lmarena.ai/leaderboard/vision) | 2026-10-09 | | 22 | [Claude Sonnet 5.5](https://noometry.com/models/claude-sonnet-5-5) | [Anthropic](https://noometry.com/providers/anthropic) | 1289 | xhigh | [LMArena](https://lmarena.ai/leaderboard/vision) | 2026-10-09 | | 23 | [GPT-6.1 Sol](https://noometry.com/models/gpt-6-1-sol) | [OpenAI](https://noometry.com/providers/openai) | 1288 | | [LMArena](https://lmarena.ai/leaderboard/vision) | 2026-10-09 | | 24 | [Grok 4.5](https://noometry.com/models/grok-4-5) | [xAI](https://noometry.com/providers/xai) | 1288 | | [LMArena](https://lmarena.ai/leaderboard/vision) | 2026-10-09 | | 25 | [Gemini 3 Flash Preview](https://noometry.com/models/gemini-3-flash-preview) | [![](/logos/google.svg) Google](https://noometry.com/providers/google) | 1285 | | [LMArena](https://lmarena.ai/leaderboard/vision) | 2026-10-09 | | 26 | [Kimi K2.6](https://noometry.com/models/kimi-k2-6) | [Moonshot AI](https://noometry.com/providers/moonshot) | 1283 | | [LMArena](https://lmarena.ai/leaderboard/vision) | 2026-10-09 | | 27 | [Claude Sonnet 4.6](https://noometry.com/models/claude-sonnet-4-6) | [Anthropic](https://noometry.com/providers/anthropic) | 1283 | | [LMArena](https://lmarena.ai/leaderboard/vision) | 2026-10-09 | | 28 | [GPT-5.6 Sol](https://noometry.com/models/gpt-5-6-sol) | [OpenAI](https://noometry.com/providers/openai) | 1281 | xhigh | [LMArena](https://lmarena.ai/leaderboard/vision) | 2026-10-09 | | 29 | [GPT-6 Astra](https://noometry.com/models/gpt-6-astra) | [OpenAI](https://noometry.com/providers/openai) | 1281 | | [LMArena](https://lmarena.ai/leaderboard/vision) | 2026-10-09 | | 30 | [Qwen3.7 Plus](https://noometry.com/models/qwen3-7-plus) | [![](/logos/alibaba.svg) Alibaba (Qwen)](https://noometry.com/providers/alibaba) | 1279 | | [LMArena](https://lmarena.ai/leaderboard/vision) | 2026-10-09 | | 31 | [Gemma 4 31B IT](https://noometry.com/models/gemma-4-31b-it) | [![](/logos/google.svg) Google](https://noometry.com/providers/google) | 1277 | | [LMArena](https://lmarena.ai/leaderboard/vision) | 2026-10-09 | | 32 | [DeepSeek V4.1 Flash](https://noometry.com/models/deepseek-v4-1-flash) | [![](/logos/deepseek.svg) DeepSeek](https://noometry.com/providers/deepseek) | 1277 | | [LMArena](https://lmarena.ai/leaderboard/vision) | 2026-10-09 | | 33 | [Seed 2.0 Pro](https://noometry.com/models/dola-seed-2-0-pro) | [![](/logos/bytedance.svg) ByteDance Seed](https://noometry.com/providers/bytedance) | 1274 | | [LMArena](https://lmarena.ai/leaderboard/vision) | 2026-10-09 | | 34 | [Claude Sonnet 5](https://noometry.com/models/claude-sonnet-5) | [Anthropic](https://noometry.com/providers/anthropic) | 1274 | high | [LMArena](https://lmarena.ai/leaderboard/vision) | 2026-10-09 | | 35 | [Qwen3.8 27B](https://noometry.com/models/qwen3-8-27b) | [![](/logos/alibaba.svg) Alibaba (Qwen)](https://noometry.com/providers/alibaba) | 1271 | | [LMArena](https://lmarena.ai/leaderboard/vision) | 2026-10-09 | | 36 | [GPT-5.6 Terra](https://noometry.com/models/gpt-5-6-terra) | [OpenAI](https://noometry.com/providers/openai) | 1271 | xhigh | [LMArena](https://lmarena.ai/leaderboard/vision) | 2026-10-09 | | 37 | [Kimi K2.5](https://noometry.com/models/kimi-k2-5) | [Moonshot AI](https://noometry.com/providers/moonshot) | 1269 | thinking | [LMArena](https://lmarena.ai/leaderboard/vision) | 2026-10-09 | | 38 | [Gemini 3.5 Flash Lite](https://noometry.com/models/gemini-3-5-flash-lite) | [![](/logos/google.svg) Google](https://noometry.com/providers/google) | 1268 | | [LMArena](https://lmarena.ai/leaderboard/vision) | 2026-10-09 | | 39 | [GPT-5.2](https://noometry.com/models/gpt-5-2) | [OpenAI](https://noometry.com/providers/openai) | 1268 | | [LMArena](https://lmarena.ai/leaderboard/vision) | 2026-10-09 | | 40 | [Step 5 Preview](https://noometry.com/models/step-5-preview) | [![](/logos/stepfun.svg) StepFun](https://noometry.com/providers/stepfun) | 1267 | Step 5 Preview | [LMArena](https://lmarena.ai/leaderboard/vision) | 2026-10-09 | | 41 | [GLM-5V-Turbo](https://noometry.com/models/glm-5v-turbo) | [Z.ai (Zhipu)](https://noometry.com/providers/zai) | 1264 | | [LMArena](https://lmarena.ai/leaderboard/vision) | 2026-10-09 | | 42 | [MiMo-V2.6-Pro](https://noometry.com/models/mimo-v2-6-pro) | [Xiaomi](https://noometry.com/providers/xiaomi) | 1264 | | [LMArena](https://lmarena.ai/leaderboard/vision) | 2026-10-09 | | 43 | [Gemini 2.5 Pro](https://noometry.com/models/gemini-2-5-pro) | [![](/logos/google.svg) Google](https://noometry.com/providers/google) | 1263 | | [LMArena](https://lmarena.ai/leaderboard/vision) | 2026-10-09 | | 44 | [Grok 4.6](https://noometry.com/models/grok-4-6) | [xAI](https://noometry.com/providers/xai) | 1263 | high | [LMArena](https://lmarena.ai/leaderboard/vision) | 2026-10-09 | | 45 | [Grok 4.20 (Non-Reasoning)](https://noometry.com/models/grok-4-20) | [xAI](https://noometry.com/providers/xai) | 1263 | | [LMArena](https://lmarena.ai/leaderboard/vision) | 2026-10-09 | | 46 | [Qwen3.5 397B-A17B](https://noometry.com/models/qwen3-5-397b-a17b) | [![](/logos/alibaba.svg) Alibaba (Qwen)](https://noometry.com/providers/alibaba) | 1263 | | [LMArena](https://lmarena.ai/leaderboard/vision) | 2026-10-09 | | 47 | [Gemma 4 26B A4B IT](https://noometry.com/models/gemma-4-26b-a4b-it) | [![](/logos/google.svg) Google](https://noometry.com/providers/google) | 1260 | | [LMArena](https://lmarena.ai/leaderboard/vision) | 2026-10-09 | | 48 | [MiMo-V2.6-Flash](https://noometry.com/models/mimo-v2-6-flash) | [Xiaomi](https://noometry.com/providers/xiaomi) | 1259 | | [LMArena](https://lmarena.ai/leaderboard/vision) | 2026-10-09 | | 49 | [Grok 4.20 Multi-Agent](https://noometry.com/models/grok-4-20-multi-agent) | [xAI](https://noometry.com/providers/xai) | 1259 | | [LMArena](https://lmarena.ai/leaderboard/vision) | 2026-10-09 | | 50 | [GPT-5.6 Luna](https://noometry.com/models/gpt-5-6-luna) | [OpenAI](https://noometry.com/providers/openai) | 1258 | xhigh | [LMArena](https://lmarena.ai/leaderboard/vision) | 2026-10-09 | | 51 | [Kimi K2.5 Instant](https://noometry.com/models/kimi-k2-5-instant) | [Moonshot AI](https://noometry.com/providers/moonshot) | 1254 | | [LMArena](https://lmarena.ai/leaderboard/vision) | 2026-10-09 | | 52 | [MiniMax-M3](https://noometry.com/models/minimax-m3) | [![](/logos/minimax.svg) MiniMax](https://noometry.com/providers/minimax) | 1253 | | [LMArena](https://lmarena.ai/leaderboard/vision) | 2026-10-09 | | 53 | [Gemini 2.5 Flash](https://noometry.com/models/gemini-2-5-flash) | [![](/logos/google.svg) Google](https://noometry.com/providers/google) | 1253 | | [LMArena](https://lmarena.ai/leaderboard/vision) | 2026-10-09 | | 54 | [GPT-5.5 Instant](https://noometry.com/models/gpt-5-5-instant) | [OpenAI](https://noometry.com/providers/openai) | 1250 | | [LMArena](https://lmarena.ai/leaderboard/vision) | 2026-10-09 | | 55 | [GPT-5.1](https://noometry.com/models/gpt-5-1) | [OpenAI](https://noometry.com/providers/openai) | 1250 | high | [LMArena](https://lmarena.ai/leaderboard/vision) | 2026-10-09 | | 56 | [ERNIE 5.0 0110](https://noometry.com/models/ernie-5-0) | [![](/logos/baidu.svg) Baidu](https://noometry.com/providers/baidu) | 1249 | | [LMArena](https://lmarena.ai/leaderboard/vision) | 2026-10-09 | | 57 | [MiMo-V2.5](https://noometry.com/models/mimo-v2-5) | [Xiaomi](https://noometry.com/providers/xiaomi) | 1247 | | [LMArena](https://lmarena.ai/leaderboard/vision) | 2026-10-09 | | 58 | [Qwen3-VL 235B-A22B](https://noometry.com/models/qwen3-vl-235b-a22b) | [![](/logos/alibaba.svg) Alibaba (Qwen)](https://noometry.com/providers/alibaba) | 1247 | | [LMArena](https://lmarena.ai/leaderboard/vision) | 2026-10-09 | | 59 | [GPT-5.4 mini](https://noometry.com/models/gpt-5-4-mini) | [OpenAI](https://noometry.com/providers/openai) | 1245 | high | [LMArena](https://lmarena.ai/leaderboard/vision) | 2026-10-09 | | 60 | [GPT-6 Sol](https://noometry.com/models/gpt-6-sol) | [OpenAI](https://noometry.com/providers/openai) | 1245 | | [LMArena](https://lmarena.ai/leaderboard/vision) | 2026-10-09 | | 61 | [Qwen3.5 122B-A10B](https://noometry.com/models/qwen3-5-122b-a10b) | [![](/logos/alibaba.svg) Alibaba (Qwen)](https://noometry.com/providers/alibaba) | 1245 | | [LMArena](https://lmarena.ai/leaderboard/vision) | 2026-10-09 | | 62 | [Chatgpt 4o Latest 20250326](https://noometry.com/models/chatgpt-4o) | [OpenAI](https://noometry.com/providers/openai) | 1243 | | [LMArena](https://lmarena.ai/leaderboard/vision) | 2026-10-09 | | 63 | [Qwen3.5 27B](https://noometry.com/models/qwen3-5-27b) | [![](/logos/alibaba.svg) Alibaba (Qwen)](https://noometry.com/providers/alibaba) | 1241 | | [LMArena](https://lmarena.ai/leaderboard/vision) | 2026-10-09 | | 64 | [Gemini 3.1 Flash Lite](https://noometry.com/models/gemini-3-1-flash-lite) | [![](/logos/google.svg) Google](https://noometry.com/providers/google) | 1240 | | [LMArena](https://lmarena.ai/leaderboard/vision) | 2026-10-09 | | 65 | [Inkling-Small](https://noometry.com/models/inkling-small) | [T Thinking Machines Lab](https://noometry.com/providers/thinking-machines) | 1235 | Inkling Small | [LMArena](https://lmarena.ai/leaderboard/vision) | 2026-10-09 | | 66 | [GPT-5](https://noometry.com/models/gpt-5) | [OpenAI](https://noometry.com/providers/openai) | 1232 | | [LMArena](https://lmarena.ai/leaderboard/vision) | 2026-10-09 | | 67 | [Grok 4.3](https://noometry.com/models/grok-4-3) | [xAI](https://noometry.com/providers/xai) | 1229 | | [LMArena](https://lmarena.ai/leaderboard/vision) | 2026-10-09 | | 68 | [Grok 4.7](https://noometry.com/models/grok-4-7) | [xAI](https://noometry.com/providers/xai) | 1228 | xhigh | [LMArena](https://lmarena.ai/leaderboard/vision) | 2026-10-09 | | 69 | [MiMo-V2-Omni](https://noometry.com/models/mimo-v2-omni) | [Xiaomi](https://noometry.com/providers/xiaomi) | 1228 | | [LMArena](https://lmarena.ai/leaderboard/vision) | 2026-10-09 | | 70 | [Mistral Medium 3.5](https://noometry.com/models/mistral-medium-3-5) | [![](/logos/mistral.svg) Mistral AI](https://noometry.com/providers/mistral) | 1223 | | [LMArena](https://lmarena.ai/leaderboard/vision) | 2026-10-09 | | 71 | [Mistral Large 3](https://noometry.com/models/mistral-large-3) | [![](/logos/mistral.svg) Mistral AI](https://noometry.com/providers/mistral) | 1221 | | [LMArena](https://lmarena.ai/leaderboard/vision) | 2026-10-09 | | 72 | [GPT-6 Luna](https://noometry.com/models/gpt-6-luna) | [OpenAI](https://noometry.com/providers/openai) | 1217 | | [LMArena](https://lmarena.ai/leaderboard/vision) | 2026-10-09 | | 73 | [o3](https://noometry.com/models/o3) | [OpenAI](https://noometry.com/providers/openai) | 1214 | | [LMArena](https://lmarena.ai/leaderboard/vision) | 2026-10-09 | | 74 | [Qwen-VL Max](https://noometry.com/models/qwen-vl-max) | [![](/logos/alibaba.svg) Alibaba (Qwen)](https://noometry.com/providers/alibaba) | 1213 | | [LMArena](https://lmarena.ai/leaderboard/vision) | 2026-10-09 | | 75 | [GPT-4.1](https://noometry.com/models/gpt-4-1) | [OpenAI](https://noometry.com/providers/openai) | 1211 | | [LMArena](https://lmarena.ai/leaderboard/vision) | 2026-10-09 | | 76 | [Grok 4](https://noometry.com/models/grok-4) | [xAI](https://noometry.com/providers/xai) | 1210 | | [LMArena](https://lmarena.ai/leaderboard/vision) | 2026-10-09 | | 77 | [GPT-5 Mini](https://noometry.com/models/gpt-5-mini) | [OpenAI](https://noometry.com/providers/openai) | 1202 | high | [LMArena](https://lmarena.ai/leaderboard/vision) | 2026-10-09 | | 78 | [Grok 4.1 Fast](https://noometry.com/models/grok-4-1-fast) | [xAI](https://noometry.com/providers/xai) | 1201 | | [LMArena](https://lmarena.ai/leaderboard/vision) | 2026-10-09 | | 79 | [Gemini 2.5 Flash-Lite](https://noometry.com/models/gemini-2-5-flash-lite) | [![](/logos/google.svg) Google](https://noometry.com/providers/google) | 1198 | no-thinking | [LMArena](https://lmarena.ai/leaderboard/vision) | 2026-10-09 | | 80 | [GPT-5.4 nano](https://noometry.com/models/gpt-5-4-nano) | [OpenAI](https://noometry.com/providers/openai) | 1196 | high | [LMArena](https://lmarena.ai/leaderboard/vision) | 2026-10-09 | | 81 | [GPT-4.5](https://noometry.com/models/gpt-4-5) | [OpenAI](https://noometry.com/providers/openai) | 1195 | | [LMArena](https://lmarena.ai/leaderboard/vision) | 2026-10-09 | | 82 | [o4-mini](https://noometry.com/models/o4-mini) | [OpenAI](https://noometry.com/providers/openai) | 1194 | | [LMArena](https://lmarena.ai/leaderboard/vision) | 2026-10-09 | | 83 | [Claude Opus 4](https://noometry.com/models/claude-opus-4) | [Anthropic](https://noometry.com/providers/anthropic) | 1192 | thinking-16k | [LMArena](https://lmarena.ai/leaderboard/vision) | 2026-10-09 | | 84 | [Claude Sonnet 4](https://noometry.com/models/claude-sonnet-4) | [Anthropic](https://noometry.com/providers/anthropic) | 1191 | thinking-32k | [LMArena](https://lmarena.ai/leaderboard/vision) | 2026-10-09 | | 85 | [Step 1o Turbo 202506](https://noometry.com/models/step-1o-turbo-202506) | [![](/logos/stepfun.svg) StepFun](https://noometry.com/providers/stepfun) | 1186 | | [LMArena](https://lmarena.ai/leaderboard/vision) | 2026-10-09 | | 86 | [GPT-4.1 mini](https://noometry.com/models/gpt-4-1-mini) | [OpenAI](https://noometry.com/providers/openai) | 1181 | | [LMArena](https://lmarena.ai/leaderboard/vision) | 2026-10-09 | | 87 | [Hunyuan Large Vision](https://noometry.com/models/hunyuan-large-vision) | [![](/logos/tencent.svg) Tencent](https://noometry.com/providers/tencent) | 1180 | | [LMArena](https://lmarena.ai/leaderboard/vision) | 2026-10-09 | | 88 | [Hunyuan Vision 1.5](https://noometry.com/models/hunyuan-vision-1-5) | [![](/logos/tencent.svg) Tencent](https://noometry.com/providers/tencent) | 1180 | thinking | [LMArena](https://lmarena.ai/leaderboard/vision) | 2026-10-09 | | 89 | [Step 3](https://noometry.com/models/step-3) | [![](/logos/stepfun.svg) StepFun](https://noometry.com/providers/stepfun) | 1177 | | [LMArena](https://lmarena.ai/leaderboard/vision) | 2026-10-09 | | 90 | [Mistral Medium](https://noometry.com/models/mistral-medium) | [![](/logos/mistral.svg) Mistral AI](https://noometry.com/providers/mistral) | 1172 | | [LMArena](https://lmarena.ai/leaderboard/vision) | 2026-10-09 | | 91 | [Claude 3.7 Sonnet](https://noometry.com/models/claude-3-7-sonnet) | [Anthropic](https://noometry.com/providers/anthropic) | 1169 | thinking-32k | [LMArena](https://lmarena.ai/leaderboard/vision) | 2026-10-09 | | 92 | [o1](https://noometry.com/models/o1) | [OpenAI](https://noometry.com/providers/openai) | 1168 | | [LMArena](https://lmarena.ai/leaderboard/vision) | 2026-10-09 | | 93 | [Gemma 3 27B](https://noometry.com/models/gemma-3-27b) | [![](/logos/google.svg) Google](https://noometry.com/providers/google) | 1164 | | [LMArena](https://lmarena.ai/leaderboard/vision) | 2026-10-09 | | 94 | [GLM-4.6V](https://noometry.com/models/glm-4-6v) | [Z.ai (Zhipu)](https://noometry.com/providers/zai) | 1164 | | [LMArena](https://lmarena.ai/leaderboard/vision) | 2026-10-09 | | 95 | [Gemini 1.5 Pro (May 2024)](https://noometry.com/models/gemini-1-5-pro) | [![](/logos/google.svg) Google](https://noometry.com/providers/google) | 1161 | | [LMArena](https://lmarena.ai/leaderboard/vision) | 2026-10-09 | | 96 | [GPT-5 Nano](https://noometry.com/models/gpt-5-nano) | [OpenAI](https://noometry.com/providers/openai) | 1159 | high | [LMArena](https://lmarena.ai/leaderboard/vision) | 2026-10-09 | | 97 | [Gemini 2.0 Flash (Feb 2025)](https://noometry.com/models/gemini-2-0-flash) | [![](/logos/google.svg) Google](https://noometry.com/providers/google) | 1158 | | [LMArena](https://lmarena.ai/leaderboard/vision) | 2026-10-09 | | 98 | [GLM-4.5V](https://noometry.com/models/glm-4-5v) | [Z.ai (Zhipu)](https://noometry.com/providers/zai) | 1154 | | [LMArena](https://lmarena.ai/leaderboard/vision) | 2026-10-09 | | 99 | [Llama 4 Maverick](https://noometry.com/models/llama-4-maverick) | [![](/logos/meta.svg) Meta](https://noometry.com/providers/meta) | 1142 | | [LMArena](https://lmarena.ai/leaderboard/vision) | 2026-10-09 | | 100 | [Mistral Small](https://noometry.com/models/mistral-small) | [![](/logos/mistral.svg) Mistral AI](https://noometry.com/providers/mistral) | 1142 | | [LMArena](https://lmarena.ai/leaderboard/vision) | 2026-10-09 | | 101 | [Gemini 1.5 Flash (May 2024)](https://noometry.com/models/gemini-1-5-flash) | [![](/logos/google.svg) Google](https://noometry.com/providers/google) | 1141 | | [LMArena](https://lmarena.ai/leaderboard/vision) | 2026-10-09 | | 102 | [GPT-4o](https://noometry.com/models/gpt-4o) | [OpenAI](https://noometry.com/providers/openai) | 1137 | | [LMArena](https://lmarena.ai/leaderboard/vision) | 2026-10-09 | | 103 | [Mistral Small 3.1](https://noometry.com/models/mistral-small-3-1) | [![](/logos/mistral.svg) Mistral AI](https://noometry.com/providers/mistral) | 1136 | | [LMArena](https://lmarena.ai/leaderboard/vision) | 2026-10-09 | | 104 | [Claude 3.5 Sonnet](https://noometry.com/models/claude-3-5-sonnet) | [Anthropic](https://noometry.com/providers/anthropic) | 1125 | | [LMArena](https://lmarena.ai/leaderboard/vision) | 2026-10-09 | | 105 | [Llama 4 Scout](https://noometry.com/models/llama-4-scout) | [![](/logos/meta.svg) Meta](https://noometry.com/providers/meta) | 1118 | | [LMArena](https://lmarena.ai/leaderboard/vision) | 2026-10-09 | | 106 | [Qwen2.5-VL 72B Instruct](https://noometry.com/models/qwen2-5-vl-72b-instruct) | [![](/logos/alibaba.svg) Alibaba (Qwen)](https://noometry.com/providers/alibaba) | 1107 | | [LMArena](https://lmarena.ai/leaderboard/vision) | 2026-10-09 | | 107 | [Gemini 2.0 Flash-Lite](https://noometry.com/models/gemini-2-0-flash-lite) | [![](/logos/google.svg) Google](https://noometry.com/providers/google) | 1100 | | [LMArena](https://lmarena.ai/leaderboard/vision) | 2026-10-09 | | 108 | [Claude 3.5 Haiku](https://noometry.com/models/claude-3-5-haiku) | [Anthropic](https://noometry.com/providers/anthropic) | 1092 | | [LMArena](https://lmarena.ai/leaderboard/vision) | 2026-10-09 | | 109 | [GPT-4 Turbo](https://noometry.com/models/gpt-4-turbo) | [OpenAI](https://noometry.com/providers/openai) | 1090 | | [LMArena](https://lmarena.ai/leaderboard/vision) | 2026-10-09 | | 110 | [Pixtral Large](https://noometry.com/models/pixtral-large) | [![](/logos/mistral.svg) Mistral AI](https://noometry.com/providers/mistral) | 1089 | | [LMArena](https://lmarena.ai/leaderboard/vision) | 2026-10-09 | | 111 | [Molmo 2 8b](https://noometry.com/models/molmo-2-8b) | [![](/logos/ai2.svg) Allen Institute for AI (Ai2)](https://noometry.com/providers/ai2) | 1081 | | [LMArena](https://lmarena.ai/leaderboard/vision) | 2026-10-09 | | 112 | [GPT-4o mini](https://noometry.com/models/gpt-4o-mini) | [OpenAI](https://noometry.com/providers/openai) | 1066 | | [LMArena](https://lmarena.ai/leaderboard/vision) | 2026-10-09 | | 113 | [GPT-4.1 nano](https://noometry.com/models/gpt-4-1-nano) | [OpenAI](https://noometry.com/providers/openai) | 1063 | | [LMArena](https://lmarena.ai/leaderboard/vision) | 2026-10-09 | | 114 | [Gemini 1.5 Flash 8B](https://noometry.com/models/gemini-1-5-flash-8b) | [![](/logos/google.svg) Google](https://noometry.com/providers/google) | 1044 | | [LMArena](https://lmarena.ai/leaderboard/vision) | 2026-10-09 | | 115 | [Claude 3 Opus](https://noometry.com/models/claude-3-opus) | [Anthropic](https://noometry.com/providers/anthropic) | 1023 | | [LMArena](https://lmarena.ai/leaderboard/vision) | 2026-10-09 | | 116 | [Pixtral 12B](https://noometry.com/models/pixtral-12b) | [![](/logos/mistral.svg) Mistral AI](https://noometry.com/providers/mistral) | 1009 | | [LMArena](https://lmarena.ai/leaderboard/vision) | 2026-10-09 | | 117 | [Llama 3.2 90B](https://noometry.com/models/llama-3-2-90b) | [![](/logos/meta.svg) Meta](https://noometry.com/providers/meta) | 1000 | | [LMArena](https://lmarena.ai/leaderboard/vision) | 2026-10-09 | | 118 | [Amazon Nova Lite](https://noometry.com/models/amazon-nova-lite) | [Amazon](https://noometry.com/providers/amazon) | 990 | | [LMArena](https://lmarena.ai/leaderboard/vision) | 2026-10-09 | | 119 | [Claude 3 Sonnet](https://noometry.com/models/claude-3-sonnet) | [Anthropic](https://noometry.com/providers/anthropic) | 984 | | [LMArena](https://lmarena.ai/leaderboard/vision) | 2026-10-09 | | 120 | [Amazon Nova Pro](https://noometry.com/models/amazon-nova-pro) | [Amazon](https://noometry.com/providers/amazon) | 980 | | [LMArena](https://lmarena.ai/leaderboard/vision) | 2026-10-09 | | 121 | [Llama 3.2 11B](https://noometry.com/models/llama-3-2-11b) | [![](/logos/meta.svg) Meta](https://noometry.com/providers/meta) | 966 | | [LMArena](https://lmarena.ai/leaderboard/vision) | 2026-10-09 | | 122 | [Claude 3 Haiku](https://noometry.com/models/claude-3-haiku) | [Anthropic](https://noometry.com/providers/anthropic) | 950 | | [LMArena](https://lmarena.ai/leaderboard/vision) | 2026-10-09 | ## Compare the leaders - [Claude Fable 5 vs Claude Opus 5.5](https://noometry.com/compare/claude-fable-5-vs-claude-opus-5-5) - [Claude Fable 5 vs Claude Opus 5](https://noometry.com/compare/claude-fable-5-vs-claude-opus-5) - [Claude Fable 5 vs Claude Fable 5.1](https://noometry.com/compare/claude-fable-5-vs-claude-fable-5-1) - [Claude Fable 5 vs Claude Opus 4.7](https://noometry.com/compare/claude-fable-5-vs-claude-opus-4-7) - [Claude Opus 5.5 vs Claude Opus 5](https://noometry.com/compare/claude-opus-5-vs-claude-opus-5-5) - [Claude Opus 5.5 vs Claude Fable 5.1](https://noometry.com/compare/claude-fable-5-1-vs-claude-opus-5-5) ## Other multimodal benchmarks - [Video-MME](https://noometry.com/benchmarks/video-mme) - [GeoBench](https://noometry.com/benchmarks/geobench) - [VPCT](https://noometry.com/benchmarks/vpct) - [Blueprint-Bench 2](https://noometry.com/benchmarks/blueprint-bench-2) - [Furniture Assembly](https://noometry.com/benchmarks/furniture-assembly) - [LMArena Document](https://noometry.com/benchmarks/arena-document) (reference) - [MindCube](https://noometry.com/benchmarks/mindcube) (reference) - [ScienceQA](https://noometry.com/benchmarks/scienceqa) (reference) - [SpatialViz-Bench](https://noometry.com/benchmarks/spatialviz-bench) (reference) ## Frequently asked questions ### What does LMArena Vision measure? Blind votes on answers to prompts that include images. ### Which model has the highest LMArena Vision score? As of October 2026, Claude Fable 5 has the highest published LMArena Vision score on Noometry at 1324, out of 122 models with results. ### What is the best open-weight model on LMArena Vision? GLM-5.3-Flash has the highest LMArena Vision rating among open-weight models at 1296, ranking 19 of 122 overall. ### Cite this page Noometry. (2026). LMArena Vision leaderboard. Retrieved October 10, 2026, from https://noometry.com/benchmarks/arena-vision Quote Noometry with a link back to this page. It is also available in [Markdown](https://noometry.com/md/benchmarks/arena-vision.md).