Skip to content
IFAI

Model rankings

1227 models · 5 boards · 2 sources

Artificial AnalysisIntelligence IndexArenaText arena

Text arena · Anonymous head-to-head votes · Published May 19, 2026

Most preferred
claude-opus-4-6-thinkingAnthropic1,502Score
Best open model
glm-5.1Z.ai1,472Score
Best from China
qwen3.7-max-previewAlibaba1,475Score
Most voted
claude-3-opus-20240229Anthropic194,909Votes
Top three by Score
1claude-opus-4-6-thinkingAnthropic1,502
2claude-opus-4-7-thinkingAnthropic1,500
3muse-sparkMeta1,489
Top three open models
1glm-5.1Z.ai · #18 overall1,472
2mimo-v2.5-proXiaomi · #24 overall1,465
3kimi-k2.6Moonshot AI · #26 overall1,462
This week's changes
Sonic 3.5Speech · #1New
Qwen3.7 MaxIntelligence · #5New
Gemini 3.5 Flash (high)Intelligence · #6New
gemini-3.5-flashCoding · #7New
RankChangeModelScore95% intervalVotesPrice $/M
1—glm-5.1OpenZ.ai1,472±612,295—
2—mimo-v2.5-proOpenXiaomi1,465±69,700—
3—kimi-k2.6OpenMoonshot AI1,462±610,281—
4—deepseek-v4-pro-thinkingOpenDeepSeek · 1 more variant1,461±69,970—
5—glm-5OpenZ.ai1,457±520,816—
6—gemma-4-31bOpenGoogle1,451±85,840$0.000
7—kimi-k2.5-thinkingOpenMoonshot AI1,449±430,661—
8—qwen3.5-397b-a17bOpenAlibaba1,445±425,861—
9—glm-4.7OpenZ.ai1,443±612,134—
10—deepseek-v4-flash-thinkingOpenDeepSeek · 1 more variant1,440±610,115—
11—gemma-4-26b-a4bOpenGoogle1,438±85,782—
12—kimi-k2.5-instantOpenMoonshot AI1,432±78,201—
13—kimi-k2-thinking-turboOpenMoonshot AI1,430±356,632—
14—mimo-v2.5OpenXiaomi1,429±69,729—
15—glm-4.6OpenZ.ai1,426±435,672—
16—deepseek-v3.2-exp-thinkingOpenDeepSeek · 1 more variant1,425±79,069—
17—deepseek-v3.2OpenDeepSeek · 1 more variant1,424±445,275—
18—qwen3-235b-a22b-instruct-2507OpenAlibaba1,423±392,159—
19—deepseek-r1-0528OpenDeepSeek · 1 more variant1,422±618,467—
20▲ 1kimi-k2-0905-previewOpenMoonshot AI · 1 more variant1,418±611,795—
21▲ 1deepseek-v3.1OpenDeepSeek · 1 more variant1,418±614,974—
22▼ 2qwen3.5-122b-a10bOpenAlibaba1,418±523,088—
23▲ 1hunyuan-hy3-previewOpenTencent1,417±85,184—
24▼ 1deepseek-v3.1-terminus-thinkingOpenDeepSeek · 1 more variant1,417±103,471—
25▲ 1qwen3-vl-235b-a22b-instructOpenAlibaba1,415±611,518—
26▼ 1mistral-large-3OpenMistral1,415±441,713—
27—glm-4.5OpenZ.ai1,411±524,324—
28—minimax-m2.7OpenMiniMax1,409±516,997—
29—qwen3.5-27bOpenAlibaba1,409±522,477—
30—qwen3-235b-a22b-no-thinkingOpenAlibaba1,403±438,234—
31—qwen3-next-80b-a3b-instructOpenAlibaba1,402±522,869—
32—longcat-flash-chatOpenMeituan1,401±611,402—
33—qwen3-235b-a22b-thinking-2507OpenAlibaba1,399±78,999—
34—qwen3.5-35b-a3bOpenAlibaba1,397±523,500—
35—qwen3-vl-235b-a22b-thinkingOpenAlibaba1,396±77,941—
36—deepseek-v3-0324OpenDeepSeek · 1 more variant1,395±445,520—
37—step-3.5-flashOpenStepFun1,395±428,558—
38—minimax-m2.5OpenMiniMax1,394±428,912—
39—mimo-v2-flash (non-thinking)OpenXiaomi · 1 more variant1,393±440,885—
40—qwen3-coder-480b-a35b-instructOpenAlibaba1,387±525,753—
41—minimax-m2.1-previewOpenMiniMax1,385±517,156—
42—qwen3-30b-a3b-instruct-2507OpenAlibaba1,383±523,750—
43—glm-4.6vOpenZ.ai1,378±112,806—
44—trinity-large-previewOpen · 1 more variant1,376±524,901—
45—qwen3-235b-a22bOpenAlibaba1,375±526,278—
46—glm-4.5-airOpenZ.ai1,373±431,099—
47—qwen3-next-80b-a3b-thinkingOpenAlibaba1,369±613,706—
48—glm-4.7-flashOpenZ.ai1,368±611,750—
49—gemma-3-27b-itOpenGoogle1,366±447,559—
50—minimax-m1OpenMiniMax1,364±435,221—

Intelligence over time

Each maker's best model at the time on the Artificial Analysis Intelligence Index, by the month it was released.

Gained most · Anthropic +57.2Highest now · Anthropic 64.6Gap between highest and lowest 18.1 ptsTime range Nov 2025 – Nov 2026
64.6Anthropic60.0Google56.9OpenAI50.1Meta46.5Kimi

Arena data comes from the leaderboard dataset it publishes on Hugging Face (CC BY 4.0). Only each board's overall leaderboard is used; scores and ranks are unchanged. dataset · CC BY 4.0

Artificial Analysis data comes from its API (artificialanalysis.ai). Scores are unchanged; ranks follow the scores. artificialanalysis.ai

Open or closed follows the license Arena gives; prices and Artificial Analysis intelligence show only where model names match, otherwise “—”.