Updated Nov 6, 2026

LMArena Leaderboard, November 2026

What the LMArena actually is, how to read an Arena Elo score, and the current top 10 for November 2026. The original human-preference benchmark that started as LMSys Chatbot Arena and now anchors most enterprise model selection conversations.

What is the LMArena, in one paragraph?

The LMArena is a public, blind side-by-side voting site for AI chat models. A user submits a prompt, two anonymous models reply, the user picks a winner, and the project aggregates millions of such votes into Elo ratings. It started in 2023 as the LMSys Chatbot Arena out of UC Berkeley and rebranded to LMArena.ai in 2024-25 as it spun out into an independent project. The current November 2026 top 10 is below: three models now sit above the historical 1500 Elo barrier on text, with the open-weights tier within striking distance of the closed-source frontier.

How to read an Arena Elo score

Reference table for Arena Elo bands (November 2026)

  1510+   Frontier #1      Claude Opus 4.8 (AAII 61.4, coding & overall #1)
  1500    Frontier         Gemini 3.1 Pro, Claude Opus 4.7, GPT-5.5 Pro
  1450    Frontier-adj.    DeepSeek V4 Pro, Qwen 3.7 Max
  1400    Strong tier      GPT-4.1, Claude Sonnet 4, Gemini 2.5 Pro
  1300    Capable tier     Llama 4 Maverick, Mistral Large 3
  1200    Solid daily      Gemma 4, Phi-4, Mistral Small 3
  1100    Light tasks      DeepSeek V4 Flash, GPT-4o Mini
   <1100  Legacy tier      Older 2023-24 model generations

A 100-Elo gap means the higher-rated model wins ~64% of head-to-heads.
A 200-Elo gap means it wins ~76%. Rating shifts under 25 points are noise.

Live Leaderboard

69 models
#ModelQualityArena ELOSpeedPriceContextValueReleased
1

Anthropic · Top-scoring frontier reasoning & agentic coding

100
1509—$4 / $201M8.3Sep 2026
2

Anthropic · Frontier agentic coding & knowledge work

99
152558 t/s$10 / $501M3.3Jun 2026
3

Anthropic · Frontier agentic coding & reasoning

99
152274 t/s$5 / $251M6.6Jul 2026
4

Anthropic · Ceiling capability (limited access)

99
153156 t/s$10 / $501M3.3Jun 2026
5

OpenAI · Frontier software engineering & computer use

99
—53 t/s$10 / $501M3.3Sep 2026
6

Anthropic · Top-tier reasoning with heavy prompt reuse

99
—68 t/s$10 / $501M3.3Sep 2026
7

Anthropic · High-scoring agents when you can cap effort

99
——$2 / $101M16.5Sep 2026
8

Anthropic · Coding, agents & computer use

98
151272 t/s$5 / $251M6.5May 2026
9

OpenAI · General frontier reasoning & tools

98
151496 t/s$5 / $301M5.6Jul 2026
10

OpenAI · Near-Astra agentic quality at a fifth of the price

98
——$2 / $101M16.3Sep 2026
11

OpenAI · Frontier general purpose

97
150670 t/s$5 / $301M5.5Apr 2026
12

Moonshot AI · Open-weight coding frontier

97
150055 t/s$3 / $151M10.8Jul 2026
13

Meta · High-throughput batch inference

97
—255 t/s$1.25 / $4.251M35.3Sep 2026
14

OpenAI · Low-cost GPT-6 generation (see GPT-6.1 Sol)

97
——$2 / $101M16.2Sep 2026
15

OpenAI · Reasoning at any cost

96
151068 t/s$30 / $1801M0.9Apr 2026
16

Anthropic · Coding & agentic workflows

96
150568 t/s$5 / $251M6.4Apr 2026
17

Google · Science & long-context

96
1505131 t/s$2 / $121M13.7Apr 2026
18

Alibaba Cloud · Multimodal APAC frontier (hosted); text-only open weights

96
149186 t/s$2 / $61M24.0Aug 2026
19

Z.ai (Zhipu AI) · Highest-scoring open-weight flagship

96
—67 t/s$1.4 / $4.41M33.1Aug 2026
20

xAI · Balanced reasoning under 500k context

95
—65 t/s$2 / $6500K23.8Aug 2026
21

OpenAI · Hard reasoning

94
137068 t/s$2 / $8200K18.8Apr 2025
22

Alibaba Cloud · Long autonomous agentic runs

94
148890 t/s$2.5 / $7.51M18.8May 2026
23

xAI · Cheap output tokens & real-time info

94
149988 t/s$2 / $6500K23.5Jul 2026
24

xAI · Agentic tasks & real-time info

93
149683 t/s$1.25 / $2.51M49.6May 2026
25

OpenAI · Default production tier

93
1489118 t/s$2 / $121M13.3Jul 2026
26

Anthropic · Balanced agents & coding value

93
147998 t/s$3 / $151M10.3Jun 2026
27

Z.ai (Zhipu AI) · Best open-weight price-to-performance

93
—117 t/s$0.15 / $0.51M286.2Aug 2026
28

Google · Fastest high-throughput generation

93
—345 t/s$0.75 / $3.751M41.3Sep 2026
29

Google · Multimodal + value

92
134587 t/s$1.25 / $101M16.4Mar 2025
30

Moonshot AI · Frontier quality at low cost

92
146648 t/s$0.73 / $3.49256K43.6Apr 2026
31

DeepSeek · Cheap open-weight agentic coding

92
—217 t/s$0.3 / $1.21M122.7Sep 2026
32

Anthropic · Complex analysis

91
136052 t/s$15 / $75200K2.0May 2025
33

DeepSeek · Cheap reasoning

91
135035 t/s$0.55 / $2.19128K66.4Jan 2025
34

Z.ai (Zhipu AI) · Fastest self-hostable frontier model

91
1483168 t/s$1.4 / $4.41M31.4Jun 2026
35

Anthropic · Coding & balance

90
146773 t/s$3 / $151M10.0Feb 2026
36

Google · Fast multimodal at mid-tier price

90
1481148 t/s$0.75 / $3.751M40.0Jul 2026
37

OpenAI · Long context

89
1310120 t/s$2 / $81M17.8Apr 2025
38

DeepSeek · Cheap frontier-adjacent tokens (GA build)

89
146162 t/s$0.66 / $1.981M67.4Aug 2026
39

MiniMax · Open-weight agentic coding

89
145580 t/s$0.6 / $2.41M59.3Jun 2026
40

OpenAI · Cheapest current GPT-6 for high-volume work

89
——$0.1 / $0.51M296.7Sep 2026
41

OpenAI · Reasoning & math

88
1305155 t/s$1.1 / $4.4200K32.0Jan 2025
42

Anthropic · Coding & balance

88
132095 t/s$3 / $15200K9.8May 2025
43

Z.ai (Zhipu AI) · Open-weight agentic & tool use

88
146748 t/s$0.98 / $3.08200K43.3Apr 2026
44

xAI · Real-time info

87
133082 t/s$3 / $15131K9.7Feb 2025
45

DeepSeek · Best open-source value

86
131062 t/s$0.27 / $1.1128K125.5Mar 2025
46

Alibaba Cloud · Multilingual & APAC

86
1448124 t/s$1.4 / $5.6256K24.6Apr 2026
47

OpenAI · General purpose

85
1285109 t/s$2.5 / $10128K13.6May 2024
48

DeepSeek · Cheapest tokens, period

84
1441105 t/s$0.14 / $0.281M400.0Apr 2026
49

OpenAI · High-volume cheap frontier-family

83
1436186 t/s$0.2 / $1.21M118.6Jul 2026
50

Meta · Open-source value

80
1260135 t/s$0.2 / $0.61M200.0Apr 2025
51

Alibaba Cloud · Open-source flagship

80
125585 t/s$0.3 / $0.9131K133.3Sep 2024
52

Alibaba Cloud · Locally-runnable open-weight (~17GB VRAM at 4-bit)

80
——Self-host262K, Aug 2026
53

Mistral AI · Multilingual

79
125078 t/s$2 / $6128K19.8Nov 2024
54

Google · High-volume cheap multimodal

79
1418192 t/s$0.3 / $2.51M56.4Jul 2026
55

NVIDIA · Efficient single-GPU deployment, 1M context

79
——Self-host1M, Aug 2026
56

xAI · Budget reasoning

78
1275165 t/s$0.3 / $0.5131K195.0Feb 2025
57

Perplexity · Search + citations

78
—65 t/s$3 / $15200K8.7Feb 2025
58

Mistral AI · Code generation

76
—195 t/s$0.3 / $0.9256K126.7Jan 2025
59

NVIDIA · Open multimodal

76
1361158 t/sSelf-host256K, Apr 2026
60

Tencent · Long-context retrieval & agentic search, no license restrictions

76
——Self-host256K, Jul 2026
61

Anthropic · Speed & cost

75
1230172 t/s$0.8 / $4200K31.3Oct 2024
62

Google · Self-hosted general purpose

75
1351142 t/sSelf-host128K, Apr 2026
63

Google · Fastest + cheapest

74
1240244 t/s$0.1 / $0.41M296.0Feb 2025
64

Alibaba Cloud · Open-source coding

74
—125 t/s$0.15 / $0.45131K246.7Nov 2024
65

Ant Group · Efficient MoE alternative to trillion-param flagships

74
——Self-host256K, Aug 2026
66

OpenAI · High throughput

72
1216183 t/s$0.15 / $0.6128K192.0Jul 2024
67

Meta · Longest context

71
1195198 t/s$0.15 / $0.410M258.2Apr 2025
68

Amazon · AWS ecosystem

70
—110 t/s$0.8 / $3.2300K35.0Dec 2024
69

Cohere · Enterprise RAG

68
117072 t/s$2.5 / $10128K10.9Aug 2024
Quality = composite benchmark (MMLU, HumanEval, MATH)Arena ELO = LMSYS Chatbot Arena ratingValue = quality per dollarPrice = input / output per 1M tokens

What to do this quarter

  1. Treat Arena Elo as a triage filter, not a decision. Use it to drop the bottom half of your candidate list, then run a real eval on the remainder.
  2. Pick the right Arena board. Coding teams should read the coding Arena (Claude Opus 4.8 now leads at ~1582 Elo, ahead of Opus 4.7 at 1567). Long-context teams should read the hard-prompts Arena. The aggregate text leaderboard is the wrong signal for many enterprise workloads.
  3. Discount short-conversation polish. The Arena rewards style. Models tuned for chat win at the margin against models tuned for accuracy. Build internal evals that reward what your business actually pays for.
  4. Watch the gap, not the ranking. Sub-25 Elo shifts are within statistical noise. Anything under 50 Elo between two candidates is a coin flip on most workloads.
  5. Plan for the multi-way race. Claude Opus 4.8 holds a narrow lead, but Gemini 3.1 Pro, Claude Opus 4.7, GPT-5.5 Pro, Qwen 3.7 Max, and DeepSeek V4 Pro are approximately interchangeable on quality at the top. Optimise your stack for switching cost, not for capability.
  6. Capture vote-rate momentum. The fastest-rising models week-over-week are usually the next month's leaders. Subscribe to weekly Arena reports.
  7. Pair Arena Elo with cost. A 50-Elo lead at 10x the price is rarely a good trade. See our model leaderboard for combined quality-cost rankings.

Related reading

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