LLM Leaderboard & AI Model Rankings

One page that aggregates the major AI benchmarks and leaderboards — Chatbot Arena Elo (arena.ai), the Artificial Analysis Intelligence Index and speech arenas, and OpenRouter usage — across chat, coding, TTS, speech-to-text, image, video and agents.

RankModelVendorElo ?Votes ?
1Googlegemini-omni-1.1-flashGoogle1516 ±151,784
2Googlegemini-omni-flashGoogle1513 ±926,576
3Black Forest Labsflux-3-videoBlack Forest Labs1493 ±171,302
4SpaceXAIgrok-imagine-video-1.5-agentSpaceXAI1492 ±181,218
5Bytedancedreamina-seedance-2.0-720pBytedance1479 ±856,318
6Alibabawan3.0Alibaba1476 ±132,598
7Bytedancedreamina-seedance-2.5-720pBytedance1474 ±98,001
8MiniMaxminimax-h3MiniMax1460 ±911,417
9Metamuse-videoMeta1456 ±152,188
10Alibaba-ATHhappyhorse-1.0Alibaba-ATH1427 ±1322,264
11OpenAIsora-2-proOpenAI1368 ±754,167
12Googleveo-3.1-audioGoogle1364 ±1413,741
13Googleveo-3.1-audio-1080pGoogle1362 ±1025,076
14Googleveo-3.1-fast-audioGoogle1362 ±1039,484
15Googleveo-3.1-fast-audio-1080pGoogle1358 ±1025,870
16Googleveo-3-fast-audioGoogle1348 ±1125,258
17OpenAIsora-2OpenAI1343 ±671,947
18SpaceXAIgrok-imagine-video-720pSpaceXAI1342 ±6165,462
19Googleveo-3-audioGoogle1340 ±1319,002
20Alibabawan2.7-t2vAlibaba1337 ±727,626
21Alibabawan2.6-t2vAlibaba1327 ±754,050
22Bytedanceseedance-v1.5-proBytedance1256 ±776,171
23Googleveo-3Google1254 ±1115,005
24Googleveo-3-fastGoogle1248 ±1215,283
25Alibabawan2.5-t2v-previewAlibaba1245 ±936,378
26?pixverse-v5.6—1240 ±1132,434
27Runwayrunway-gen-4.5Runway1225 ±848,127
28KlingAIkling-2.5-turbo-1080pKlingAI1220 ±172,111
29KlingAIkling-2.6-proKlingAI1216 ±773,362
30?p-video—1207 ±167,079
31Luma AIray-3Luma AI1206 ±221,136
32MiniMaxhailuo-2.3MiniMax1206 ±689,138
33KlingAIkling-o1-proKlingAI1205 ±271,194
34MiniMaxhailuo-02-proMiniMax1198 ±139,399
35Bytedanceseedance-v1-proBytedance1191 ±1112,164
36MiniMaxhailuo-02-standardMiniMax1181 ±129,379
37Kandinskykandinsky-5.0-t2v-proKandinsky1175 ±212,019
38Tencenthunyuan-video-1.5Tencent1169 ±164,292
39Googleveo-2Google1164 ±166,531
40KlingAIkling-v2.1-masterKlingAI1163 ±1014,104
41?ltx-2-19b—1154 ±875,596
42Alibabawan-v2.2-a14bAlibaba1132 ±1510,458
43Bytedanceseedance-v1-liteBytedance1113 ±1016,253
44Kandinskykandinsky-5.0-t2v-liteKandinsky1113 ±181,474
45OpenAIsoraOpenAI1069 ±164,082
46Luma AIray2Luma AI1065 ±175,250
47Pikapika-v2.2Pika1009 ±155,763
48Genmo AImochi-v1Genmo AI1007 ±175,893

Source: arena.ai · Updated Sep 21, 2026 · PandaNpc Updated Sep 28, 2026, 06:00 UTCView full leaderboard →

How to read these numbers

An LLM leaderboard tells you which model people prefer; an AI benchmark tells you what a model can objectively do; usage data tells you what developers actually ship. No single ranking answers "which is the best AI model", so this page aggregates all three — Chatbot Arena Elo from arena.ai, the Artificial Analysis Intelligence Index and speech arenas, and OpenRouter token share — and refreshes them daily.

arena.ai (formerly LMArena) shows users two anonymous answers to the same prompt and asks them to pick one, then derives an Elo rating from those battles. It measures which answer people prefer — not objective capability. A likeable style can win, while a rigorous but verbose answer can lose.

Votes are the battles a model has accumulated. A newly listed model has few votes and a wide confidence interval, so its rank swings easily — always read the rank together with the ± interval.

The Agent board works differently from the rest: it measures real agent sessions rather than blind-vote preference. Its headline metric, Net Improvement, is a percentage gain — not an Elo rating — so it cannot be compared across boards. arena.ai also reports five more dimensions (Confirmed Success, Steerability, Bash Recovery and others) on the full leaderboard.

The usage board comes from OpenRouter and counts real API token share — developers voting with their wallets, which complements the subjective preference boards.

The speech boards come from Artificial Analysis: TTS uses blind-listening Speech Arena Elo; ASR uses AA-WER v2, where lower is better; and native Speech-to-Speech uses an equal-weight composite of Big Bench Audio, Full Duplex Bench and τ-Voice, where higher is better. Compare scores only within the same board. Source: artificialanalysis.ai.

The Intelligence Index board comes from Artificial Analysis: it distills many public benchmarks into a single 0-100 Intelligence Index, measuring objective capability rather than subjective preference — a natural complement to arena.ai's human blind vote. Source: artificialanalysis.ai.