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Vision Leaderboard

This page shows the top 30 models on the Arena AI leaderboard, snapshotted daily so you can see how recent models are doing at a glance. See the Arena AI site for the full leaderboard, filters and latest changes.

This leaderboard measures how multimodal models perform on image-understanding tasks.

Data updated: 2026-10-16 13:02:49 UTC / 2026-10-16 21:02:49 CST (Beijing time)

Top 30

RankRank SpreadModelScoreVotesPrice $/MContext
11-10Claude Fable 5 (High) 11308 (±7)14,175$10/$501M
21-19qwen3.8-max 11301 (±7)10,017$2/$61M
31-19Claude Opus 4.6 (High) 11299 (±6)22,304$5/$251M
41-22Claude Opus 4.7 11298 (±7)23,165$5/$251M
51-22Claude Opus 4.7 (High) 11298 (±7)22,733$5/$251M
61-26Gemini 3.7 Flash (High) 11297 (±10) Preliminary4,524$0.75/$3.751M
72-25Claude Opus 4.6 11294 (±6)26,853$5/$251M
81-37gpt-6.1-sol-max 11294 (±14)1,813$2/$101.1M
91-31Muse Spark 11294 (±9)5,872N/AN/A
101-37Muse Spark 1.2 (xHigh) 11293 (±14)1,954$1.25/$4.25N/A
111-36Claude Opus 5.5 (High) 11293 (±13)2,508$4/$201M
122-36Muse Spark 1.3 (Max) 11290 (±10)4,550N/AN/A
132-34Gemini 3 Pro 11289 (±7)13,639$2/$121M
142-37Gemini 3.8 Flash (High) 11289 (±11) Preliminary3,792$0.75/$3.751M
152-35Claude Opus 5 (High) 11287 (±7)16,665$5/$251M
162-37gpt-5.6-sol-xhigh 11287 (±7)10,907$4/$20N/A
172-38Claude Fable 5.1 (Max) 11286 (±10)4,648$10/$501M
182-38muse-spark-1.3 (xHigh) 11286 (±10)4,077N/AN/A
192-39gpt-6-astra-max 11286 (±11)3,590N/AN/A
204-36gpt-5.5 11286 (±6)27,993$5/$301.1M
214-37claude-opus-4-8-high 11286 (±6)18,341$5/$251M
224-37gemini-3.5-flash-medium 11285 (±7)13,180$0.75/$4.501M
236-37gpt-5.4-high 11285 (±6)29,881$2.50/$151.1M
246-38gemini-3.5-flash-high 11284 (±7)13,103$0.75/$4.501M
258-39gpt-5.5-high 11281 (±6)26,281$5/$301.1M
266-40gemini-3.6-flash-high 11281 (±8)8,127$0.75/$3.751M
277-40grok-4.5 11280 (±7)11,764$2/$6500K
288-40Muse Spark 1.1 11280 (±7)11,994$1.25/$4.251M
298-39Gemini 3.1 Pro Preview 11280 (±5)46,320$1/$61M
308-40claude-opus-4-8 11279 (±7)18,852$5/$251M

How to read this table

  • Rank / Rank Spread: relative position estimated from battle votes. The spread shows how far the rank moves within the confidence interval.
  • Score: a relative score, useful for comparing the models listed at the same moment.
  • Votes / Sessions: sample size. Rankings move more when there are fewer votes.
  • Price $/M: reference price per million tokens for input / output.
  • Context: maximum context length the model supports.

Three things to check before choosing a model

  1. Whether the provider actually serves the model, and whether it is available in your region and for your account;
  2. Whether the API price, rate limits and context window fit your workload;
  3. Run a small test on three to five real tasks instead of relying on the overall ranking alone.

Data source

Data comes from the Arena AI Vision Leaderboard and is refreshed daily by GitHub Actions. For model pricing, licenses and capabilities, check the model provider's own documentation.

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