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Chat preference AI benchmarks

Which answers real people prefer in blind side-by-side votes.

LMArena Text Arena

People chat with two anonymous models side by side and vote for the better answer; votes become an Elo-style score.

Run by LMArena. Leaderboard as of 20 Oct 2026 · retrieved 21 Oct 2026. Showing top 29 of 417 models listed.

  • Anthropic
  • OpenAI
  • Google
  • xAI
  • Meta
  • DeepSeek
  • Alibaba
  • Z.ai
  • Moonshot
LMArena Text Arena: top 15 by Arena scoreRanked bars. Leader: Gemini 4 Argon (High) at 1524. Full values in the table below.140014501500Gemini 4 Argon (High) (Google): 1524GGemini 4 Argon (High)1524Muse Wonder (Max) (Meta): 1510MMuse Wonder (Max)1510Claude Opus 5.5 (High) (Anthropic): 1509AClaude Opus 5.5 (High)1509Claude Fable 5 (High) (Anthropic): 1504AClaude Fable 5 (High)1504Claude Opus 4.6 (High) (Anthropic): 1503AClaude Opus 4.6 (High)1503Claude Fable 5.1 (Max) (Anthropic): 1503AClaude Fable 5.1 (Max)1503Claude Opus 4.7 (High) (Anthropic): 1501AClaude Opus 4.7 (High)1501Claude Opus 4.6 (Anthropic): 1497AClaude Opus 4.61497Gemini 3.8 Flash (High) (Google): 1496GGemini 3.8 Flash (High)1496Muse Spark 1.3 (Max) (Meta): 1495MMuse Spark 1.3 (Max)1495Claude Opus 4.7 (Anthropic): 1494AClaude Opus 4.71494Muse Spark 1.2 (xHigh) (Meta): 1492MMuse Spark 1.2 (xHigh)1492Claude Opus 5 (Max) (Anthropic): 1491AClaude Opus 5 (Max)1491Muse Spark 1.1 (Meta): 1490MMuse Spark 1.11490Claude Opus 5 (High) (Anthropic): 1490AClaude Opus 5 (High)1490axis starts at 1400
LMArena Text Arena: Arena score vs Output price ($ per 1M tokens)Scatter plot of 26 models. Leader on Arena score: Gemini 4 Argon (High) at 1524. Full values in the table below.$1$10$10014601480150015201540Output price ($ per 1M tokens) (log scale) →↑ Arena scoreDeepSeek-V4.1-Flash-20260910 (Max) (DeepSeek): Output price ($ per 1M tokens) $1.20, Arena score 1475DGPT-6.1 Sol (Max) (OpenAI): Output price ($ per 1M tokens) $10, Arena score 1479OGLM-5.3 (Max) (Z.ai): Output price ($ per 1M tokens) $4.40, Arena score 1481ZClaude Opus 4.8 (High) (Anthropic): Output price ($ per 1M tokens) $25, Arena score 1481AGPT-5.5 (High) (OpenAI): Output price ($ per 1M tokens) $30, Arena score 1481OQwen3.8-Max (Alibaba): Output price ($ per 1M tokens) $6.00, Arena score 1483QGemini 3.6 Flash (High) (Google): Output price ($ per 1M tokens) $3.75, Arena score 1483GGPT-5.6 Sol (xHigh) (OpenAI): Output price ($ per 1M tokens) $20, Arena score 1484OGemini 3 Pro (Google): Output price ($ per 1M tokens) $12, Arena score 1485GGemini 3.1 Pro Preview (Google): Output price ($ per 1M tokens) $6.00, Arena score 1487GGemini 3.7 Flash (High) (Google): Output price ($ per 1M tokens) $3.75, Arena score 1489GClaude Opus 5 (High) (Anthropic): Output price ($ per 1M tokens) $25, Arena score 1490AMuse Spark 1.1 (Meta): Output price ($ per 1M tokens) $4.25, Arena score 1490MClaude Opus 5 (Max) (Anthropic): Output price ($ per 1M tokens) $25, Arena score 1491AMuse Spark 1.2 (xHigh) (Meta): Output price ($ per 1M tokens) $4.25, Arena score 1492MClaude Opus 4.7 (Anthropic): Output price ($ per 1M tokens) $25, Arena score 1494AMuse Spark 1.3 (Max) (Meta): Output price ($ per 1M tokens) $4.25, Arena score 1495MGemini 3.8 Flash (High) (Google): Output price ($ per 1M tokens) $3.75, Arena score 1496GClaude Opus 4.6 (Anthropic): Output price ($ per 1M tokens) $25, Arena score 1497AClaude Opus 4.7 (High) (Anthropic): Output price ($ per 1M tokens) $25, Arena score 1501AClaude Fable 5.1 (Max) (Anthropic): Output price ($ per 1M tokens) $50, Arena score 1503AClaude Opus 4.6 (High) (Anthropic): Output price ($ per 1M tokens) $25, Arena score 1503AClaude Fable 5 (High) (Anthropic): Output price ($ per 1M tokens) $50, Arena score 1504AClaude Opus 5.5 (High) (Anthropic): Output price ($ per 1M tokens) $20, Arena score 1509AMuse Wonder (Max) (Meta): Output price ($ per 1M tokens) $20, Arena score 1510MGemini 4 Argon (High) (Google): Output price ($ per 1M tokens) $10, Arena score 1524GGemini 4 ArgonMuse WonderClaude Opus 5.5
Arena score
Elo-style rating from 8.9M+ head-to-head human votes (± is the confidence interval).
Output price ($ per 1M tokens)
List price for output tokens, as shown on the leaderboard.

Top 25 overall, plus the best-ranked entry for OpenAI, xAI, DeepSeek and Z.ai (ranks 26–39). Models without a listed price are left off the price view.

LMArena Text Arena scores
RankModelProviderArena scoreOutput price ($ per 1M tokens)±VotesInput price ($/1M)
1 Gemini 4 Argon (High) PreliminaryGoogle1524$10±94,900$2
2 Muse Wonder (Max)Meta1510$20±95,099$4
3 Claude Opus 5.5 (High)Anthropic1509$20±79,496$4
4 Claude Fable 5 (High)Anthropic1504$50±443,399$10
5 Claude Opus 4.6 (High)Anthropic1503$25±382,619$5
6 Claude Fable 5.1 (Max)Anthropic1503$50±615,623$10
7 Claude Opus 4.7 (High)Anthropic1501$25±465,131$5
8 Claude Opus 4.6Anthropic1497$25±387,372$5
9 Gemini 3.8 Flash (High) PreliminaryGoogle1496$3.75±541,423$0.75
10 Muse Spark 1.3 (Max)Meta1495$4.25±519,323$1.25
Show 19 more rows
RankModelProviderArena scoreOutput price ($ per 1M tokens)±VotesInput price ($/1M)
11 Claude Opus 4.7Anthropic1494$25±466,185$5
12 Muse Spark 1.2 (xHigh)Meta1492$4.25±79,578$1.25
13 Claude Opus 5 (Max)Anthropic1491$25±533,683$5
14 Muse Spark 1.1Meta1490$4.25±444,815$1.25
15 Claude Opus 5 (High)Anthropic1490$25±469,307$5
16 Muse SparkMeta1489–±614,153N/A
17 Gemini 3.7 Flash (High) PreliminaryGoogle1489$3.75±529,177$0.75
18 Kimi K3 (Max)Moonshot1488–±534,325N/A
19 Gemini 3.1 Pro PreviewGoogle1487$6.00±3129,523$1
20 Gemini 3 ProGoogle1485$12±442,059$2
21 GPT-5.6 Sol (xHigh)OpenAI1484$20±441,803$4
22 Gemini 3.6 Flash (High)Google1483$3.75±436,079$0.75
23 Qwen3.8-MaxAlibaba1483$6.00±529,418$2
24 GPT-5.5 (High)OpenAI1481$30±469,340$5
25 Claude Opus 4.8 (High)Anthropic1481$25±464,063$5
26 GLM-5.3 (Max)Z.ai1481$4.40±524,035$1.4
28 GPT-6.1 Sol (Max)OpenAI1479$10±87,453$2
36 DeepSeek-V4.1-Flash-20260910 (Max)DeepSeek1475$1.20±613,444$0.3
39 Grok 4.20 Beta 1xAI1475–±527,918N/A

Source: LMArena leaderboard ↗

Top model here: Gemini 4 Argon (High) (Google). Try prompts for Gemini →

ChatJudge does not run these tests. Scores are copied as published by each source, with a link and the date we read them, and only change when we refresh from the source. Different leaderboards use different settings, so compare models within one chart, not across charts. Spotted a mistake? Tell us.