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IFAI

Model rankings

532 models · 3 boards · 2 sources

Artificial AnalysisIntelligence IndexArenaText arena

Text arena · Anonymous head-to-head votes · Published September 18, 2025

Most preferred
gemini-2.5-proGoogle1,456Score
Best open model
Best from China
qwen3-max-previewAlibaba1,430Score
Most voted
claude-3-opus-20240229Anthropic196,368Votes
Top three by Score
1gemini-2.5-proGoogle1,456
3o3-2025-04-16OpenAI1,441
Top three open models
1qwen3-235b-a22b-instruct-2507Alibaba · #12 overall1,419
2kimi-k2-0711-previewMoonshot AI · #13 overall1,418
3deepseek-r1-0528DeepSeek · #14 overall1,418
This week's changes
Qwen3 Next 80B A3B (Reasoning)Intelligence · #13New
RankChangeModelScore95% intervalVotesPrice $/M
1▲ 1qwen3-235b-a22b-instruct-2507OpenAlibaba1,419±521,971—
2▼ 1kimi-k2-0711-previewOpenMoonshot AI · 1 more variant1,418±526,261—
3▲ 1deepseek-r1-0528OpenDeepSeek · 1 more variant1,418±620,358—
4▼ 1deepseek-v3.1OpenDeepSeek · 1 more variant1,417±613,851—
5—glm-4.5OpenZ.ai1,408±616,882—
6Newqwen3-next-80b-a3b-instructOpenAlibaba1,400±86,103—
7▼ 1qwen3-235b-a22b-no-thinkingOpenAlibaba1,400±535,755—
8▼ 1qwen3-235b-a22b-thinking-2507OpenAlibaba1,398±78,293—
9Newlongcat-flash-chatOpenMeituan1,397±94,937—
10▼ 2deepseek-v3-0324OpenDeepSeek · 1 more variant1,390±439,009—
11▼ 1qwen3-30b-a3b-instruct-2507OpenAlibaba1,380±615,480—
12▼ 3qwen3-coder-480b-a35b-instructOpenAlibaba1,379±518,254—
13Newqwen3-next-80b-a3b-thinkingOpenAlibaba1,373±85,443—
14▼ 3qwen3-235b-a22bOpenAlibaba1,373±524,561—
15▼ 3glm-4.5-airOpenZ.ai1,372±615,986—
16▼ 3minimax-m1OpenMiniMax1,369±527,203—
17▼ 3gemma-3-27b-itOpenGoogle1,363±439,569—
18▼ 2mistral-small-2506OpenMistral1,351±615,088—
19▼ 4gpt-oss-120bOpenOpenAI1,350±614,753$0.26
20▼ 3step-3OpenStepFun1,349±113,073—
21▼ 3command-a-03-2025OpenCohere1,347±442,057—
22▼ 2llama-3.1-nemotron-ultra-253b-v1OpenNVIDIA1,344±122,573—
23▼ 4qwen3-32bOpenAlibaba1,343±103,943—
24▼ 3nvidia-llama-3.3-nemotron-super-49b-v1.5OpenNVIDIA1,340±103,625—
25▼ 3gemma-3-12b-itOpenGoogle1,339±103,866—
26▼ 3qwq-32bOpenAlibaba · 1 more variant1,334±523,639—
27▼ 3llama-3.1-405b-instruct-bf16OpenMeta1,333±441,932—
28▼ 3llama-3.1-405b-instruct-fp8OpenMeta1,331±360,272—
29▼ 3qwen3-30b-a3bOpenAlibaba1,326±524,682—
30▼ 2gpt-oss-20bOpenOpenAI1,325±77,197—
31▼ 4llama-4-maverick-17b-128e-instructOpenMeta1,325±436,588—
32▼ 3llama-3.3-nemotron-49b-super-v1OpenNVIDIA1,324±122,243—
33▼ 3deepseek-v2.5-1210OpenDeepSeek · 1 more variant1,320±86,877—
34▼ 2llama-4-scout-17b-16e-instructOpenMeta1,319±526,364—
35▼ 4gemma-3n-e4b-itOpenGoogle1,318±524,134—
36▼ 3llama-3.3-70b-instructOpenMeta1,316±352,593—
37▼ 3qwen-max-0919OpenAlibaba1,315±616,598—
38▼ 3athene-v2-chatOpenNexusFlow1,311±424,880—
39▼ 3mistral-large-2407OpenMistral · 1 more variant1,311±445,968—
40▼ 3athene-70b-0725OpenNexusFlow1,302±619,796—
41▼ 3gemma-3-4b-itOpenGoogle1,301±94,195—
42▼ 3qwen2.5-72b-instructOpenAlibaba1,299±439,632—
43▼ 2mistral-small-3.1-24b-instruct-2503OpenMistral1,296±526,077—
44▼ 4llama-3.1-nemotron-70b-instructOpenNVIDIA1,296±87,216—
45▼ 3llama-3.1-70b-instructOpenMeta1,291±456,003—
46▼ 2jamba-1.5-largeOpenAI21 Labs1,285±78,730—
47▼ 4llama-3.1-tulu-3-70bOpenAi21,284±102,881—
48▼ 3gemma-2-27b-itOpenGoogle1,284±376,195—
49▼ 3llama-3.1-nemotron-51b-instructOpenNVIDIA1,284±103,777—
50▼ 3gemma-2-9b-it-simpoOpenPrinceton1,276±710,108—

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 “—”.