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score
float64
-0.21
0.2
score_ci_lower
float64
-0.23
0.18
score_ci_upper
float64
-0.19
0.22
observation_count
float64
222k
36.4M
session_count
float64
7.71k
224k
rank
int64
1
57
category
stringclasses
1 value
leaderboard_publish_date
stringdate
2026-11-02 00:00:00
2026-11-02 00:00:00
cost_per_task_p50
float64
0.01
6.95
โŒ€
output_tokens_per_task_p50
float64
3.88k
168k
โŒ€
Claude Opus 5.5 (Max)
anthropic
Proprietary
0.200357
0.179237
0.221476
2,148,891
13,954
1
overall
2026-11-02
6.81891
131,192
Gemini 4 Carbon (High)
google
Proprietary
0.165564
0.157507
0.173621
5,823,910
39,245
2
overall
2026-11-02
1.733506
56,025.5
Claude Sonnet 5.5 (Max)
anthropic
Proprietary
0.146155
0.118303
0.174007
1,133,800
8,436
3
overall
2026-11-02
3.940786
167,680.5
GPT-6 Astra (Max)
openai
Proprietary
0.136816
0.116722
0.156911
1,245,184
15,315
4
overall
2026-11-02
6.09363
42,032.75
Claude Fable 5.1 (Max)
anthropic
Proprietary
0.131459
0.112683
0.150235
2,208,047
17,467
5
overall
2026-11-02
6.95462
57,484.25
GPT-6.1 Sol (Max)
openai
Proprietary
0.122381
0.111461
0.133301
2,672,674
29,814
6
overall
2026-11-02
0.955171
33,894
Gemini 4 Argon (High)
google
Proprietary
0.10607
0.097604
0.114535
5,627,073
52,038
7
overall
2026-11-02
0.999277
34,675.5
GPT-6.1 Terra (Max)
openai
Proprietary
0.101868
0.090241
0.113495
5,253,674
19,912
8
overall
2026-11-02
0.787657
43,878
Muse Wonder Full (Max)
meta
Proprietary
0.096349
0.086481
0.106216
5,019,379
30,712
9
overall
2026-11-02
null
35,900
Claude Fable 5 (High)
anthropic
Proprietary
0.077778
0.066646
0.08891
3,416,103
51,112
10
overall
2026-11-02
3.917472
25,147.166667
Claude Opus 5 (Max)
anthropic
Proprietary
0.075992
0.063585
0.088399
4,510,113
31,955
11
overall
2026-11-02
5.624456
68,463.5
GPT-6 Sol (Max)
openai
Proprietary
0.069467
0.053571
0.085362
2,758,909
12,478
12
overall
2026-11-02
1.738568
39,631
Kimi K3.1 Pro (Max)
moonshot
Proprietary
0.046959
0.033753
0.060165
4,608,932
16,814
13
overall
2026-11-02
1.467652
41,240.666667
GPT-5.6 Sol (xHigh)
openai
Proprietary
0.045581
0.035185
0.055977
6,241,256
45,407
14
overall
2026-11-02
1.728686
21,824
Claude Sonnet 5 (High)
anthropic
Proprietary
0.028416
0.016548
0.040284
4,991,235
41,722
15
overall
2026-11-02
1.112702
29,374
Grok 4.7 (xHigh)
xai
Proprietary
0.026435
0.011779
0.041092
3,428,723
18,788
16
overall
2026-11-02
2.611359
75,006.5
Gemini 3.8 Flash (High)
google
Proprietary
0.025613
0.017383
0.033843
7,990,920
52,949
17
overall
2026-11-02
0.757911
51,707
Muse Wonder (Max)
meta
Proprietary
0.025107
0.011449
0.038765
1,955,603
13,075
18
overall
2026-11-02
1.432282
25,446
Muse Spark 1.3 (Max)
meta
Proprietary
0.02442
0.016195
0.032644
8,506,164
80,904
19
overall
2026-11-02
0.449172
25,927
MiMo-V2.6-Pro
xiaomi
MIT
0.024414
0.015351
0.033477
5,116,959
47,901
20
overall
2026-11-02
0.155964
47,613
DeepSeek-V4.1-Flash-20261017 (Max)
deepseek
MIT
0.02131
0.015509
0.027112
17,814,667
65,677
21
overall
2026-11-02
0.176969
86,560
GPT-6 Luna (Max)
openai
Proprietary
0.019164
0.014895
0.023433
36,432,377
223,505
22
overall
2026-11-02
0.091385
42,158
GLM-5.3 (Max)
zai
MIT
0.011655
0.003725
0.019585
11,116,227
96,216
23
overall
2026-11-02
1.140962
61,988
Hy4 preview
tencent
Apache 2.0
0.009369
0.002411
0.016328
11,065,413
100,538
24
overall
2026-11-02
0.444307
50,847
Kimi K3 (Max)
moonshot
Kimi K3 license
0.00855
0.002807
0.014294
15,700,659
161,000
25
overall
2026-11-02
1.123475
30,605
GLM-5.2 (Max)
zai
MIT
0.007458
-0.000202
0.015118
8,907,698
99,064
26
overall
2026-11-02
1.090219
60,545
Claude Haiku 5.5 (High)
anthropic
Proprietary
0.006541
-0.003742
0.016823
3,826,660
30,507
27
overall
2026-11-02
0.096408
26,883.5
MiMo-V2.6-Flash
xiaomi
MIT
0.004311
-0.006149
0.014771
3,350,185
29,722
28
overall
2026-11-02
0.071299
48,037.5
Qwen3.8-Max
alibaba
Proprietary
0.004037
-0.002444
0.010517
8,014,075
79,589
29
overall
2026-11-02
1.352575
52,693
Grok 4.6 (xHigh)
xai
Proprietary
0.003246
-0.008199
0.014691
3,694,761
30,344
30
overall
2026-11-02
1.688277
40,038
DeepSeek-V4-Pro (High, 20260813)
deepseek
MIT
-0.003009
-0.020029
0.014012
911,835
7,710
31
overall
2026-11-02
null
null
GPT-5.6 Terra (xHigh)
openai
Proprietary
-0.015125
-0.02292
-0.007329
3,638,641
44,557
32
overall
2026-11-02
0.606392
16,252.25
Gemini 3.7 Flash (High)
google
Proprietary
-0.016259
-0.02495
-0.007569
6,091,705
63,681
33
overall
2026-11-02
0.588672
38,697
GPT-6 Luna (Medium)
openai
Proprietary
-0.019297
-0.024929
-0.013665
7,128,621
60,580
34
overall
2026-11-02
0.027016
9,974
GLM-5.3-Flash
zai
MIT
-0.024898
-0.031763
-0.018033
13,243,525
95,599
35
overall
2026-11-02
0.160127
49,444
Step 5 Preview
stepfun
Proprietary
-0.025326
-0.039326
-0.011326
2,655,646
16,859
36
overall
2026-11-02
0.631197
46,570
MiniMax-M3.1-Flash
minimax
MiniMax Community License
-0.032163
-0.047795
-0.016531
2,249,279
12,103
37
overall
2026-11-02
0.241642
74,881
Qwen3.8-27B
alibaba
Apache 2.0
-0.043007
-0.051437
-0.034577
8,055,983
64,176
38
overall
2026-11-02
0.430487
52,817
Qwen3.8-Flash-Next
alibaba
qwen-community-1.0
-0.043338
-0.050575
-0.036101
16,152,240
109,490
39
overall
2026-11-02
0.221456
61,054
Gemini 3.1 Pro Preview
google
Proprietary
-0.046145
-0.059967
-0.032322
2,953,328
88,001
40
overall
2026-11-02
0.632693
13,789
Beam 1.0 501B A23B
reflection
Apache 2.0
-0.046963
-0.072606
-0.02132
692,995
12,384
41
overall
2026-11-02
null
15,013
GPT-6 Luna (Low)
openai
Proprietary
-0.058722
-0.066041
-0.051403
2,936,362
39,811
42
overall
2026-11-02
0.010452
3,878
Mistral Large 4
mistral
Proprietary
-0.064096
-0.085229
-0.042964
1,049,135
14,173
43
overall
2026-11-02
0.445551
31,645.5
Qwen3.7-Max
alibaba
Proprietary
-0.066694
-0.078683
-0.054705
2,279,026
43,216
44
overall
2026-11-02
0.353168
17,576.5
Qwen3.7-Plus
alibaba
Proprietary
-0.073674
-0.089844
-0.057504
1,269,170
24,493
45
overall
2026-11-02
0.14057
16,583
Hy3
tencent
Apache 2.0
-0.075347
-0.08973
-0.060964
1,228,226
32,673
46
overall
2026-11-02
0.073335
32,994.5
Muse Spark 1.1
meta
Proprietary
-0.076753
-0.08334
-0.070166
8,373,744
150,517
47
overall
2026-11-02
0.372478
18,389
Muse Spark 1.2 (xHigh)
meta
Proprietary
-0.077414
-0.085838
-0.068991
3,775,912
54,988
48
overall
2026-11-02
0.438531
27,564
MiMo-V2.5-Pro
xiaomi
MIT
-0.090118
-0.100254
-0.079982
2,506,890
49,647
49
overall
2026-11-02
0.076846
13,298.5
Spark-X2.6
synlan
Proprietary
-0.100035
-0.114931
-0.085138
858,001
8,166
50
overall
2026-11-02
0.097772
38,294.5
MiniMax-M3
minimax
MiniMax Community License
-0.104153
-0.115889
-0.092416
3,592,942
44,359
51
overall
2026-11-02
0.23518
18,368.5
Mistral Medium 3.5
mistral
Modified MIT
-0.132163
-0.149128
-0.115198
662,489
14,001
52
overall
2026-11-02
0.469507
17,558
Nemotron 3 Ultra
nvidia
OpenMDW-1.1
-0.156017
-0.188184
-0.123851
222,486
13,650
53
overall
2026-11-02
0.149715
8,577
NVIDIA-Nemotron-3.5-Super-VL-120B-A12B (NVFP4)
nvidia
OpenMDW-1.1
-0.159152
-0.168868
-0.149437
1,224,433
20,299
54
overall
2026-11-02
null
13,772.5
Inkling
thinky
Apache 2.0
-0.160835
-0.175679
-0.145992
1,741,794
44,251
55
overall
2026-11-02
0.332419
15,037
Inkling-Small
thinky
Apache 2.0
-0.168914
-0.18757
-0.150258
560,494
14,746
56
overall
2026-11-02
0.18831
20,428
Solar Pro 4
upstage
Proprietary
-0.209448
-0.230438
-0.188458
534,958
10,951
57
overall
2026-11-02
0.05355
16,109

Arena Leaderboard Dataset

Historical snapshots of the Arena leaderboard.

Usage

from datasets import load_dataset

# Load all historical text style control data
ds = load_dataset("lmarena-ai/leaderboard-dataset", "text_style_control", split="full")

# Load the current text style control leaderboard
ds = load_dataset("lmarena-ai/leaderboard-dataset", "text_style_control", split="latest")

# Filter to overall category
ds = load_dataset("lmarena-ai/leaderboard-dataset", "text_style_control", split="latest",
    filters=[("category", "==", "overall")]
)

# Track a specific model's rating over time
ds = load_dataset("lmarena-ai/leaderboard-dataset", "text_style_control", split="full",
    filters=[("category", "==", "overall"), ("model_name", "==", "gpt-4o-2024-05-13")],
    columns=["model_name", "rating", "rank", "leaderboard_publish_date"]
)

# Load raw (non-style-controlled) text ratings
ds = load_dataset("lmarena-ai/leaderboard-dataset", "text", split="full")

# Load the current Agent Arena leaderboard
ds = load_dataset("lmarena-ai/leaderboard-dataset", "agent", split="latest")

Subsets

Each arena is a separate subset, arenas with style control have an additional subset with a _style_control suffix .

  • text, text_style_control
  • vision, vision_style_control
  • search, search_style_control
  • document, document_style_control
  • webdev (Code Arena)
  • text_to_image
  • image_edit
  • text_to_video
  • image_to_video
  • video_edit
  • agent (Agent Arena aggregate), plus per-signal subsets: agent_bash_recovery_steps, agent_bash_reliability, agent_praise_complaint, agent_steerability, agent_task_outcome_explicit, agent_tool_hallucination

Splits

  • full: All historically published leaderboards
  • latest: Only the most recently published leaderboards

Notes

  • On January 9, 2024, the rating system was updated from Elo to Bradley-Terry.
  • On May 16, 2025, style control was made the default for text and vision arenas and the offset was adjusted to put the style control leaderboard on the same rating scale as non style control.
  • On July 23, 2025, frequency-based re-weighting was implemented.
  • Search and Webdev Arena data starts from their releases on the arena.ai (then lmarena.ai) on August 7 and November 12 2025 respectively.
  • Agent Arena data starts from its release on June 4, 2026.
  • On October 12, 2026, the Agent Arena bash signal was switched from bash recovery to bash reliability.

For a complete record of all leaderboard methodology changes, see the Leaderboard Changelog.

Schema

Column Type Description
model_name string Model identifier
organization string Model creator/organization
license string Model license
rating float Arena Score
rating_lower float Lower confidence bound
rating_upper float Upper confidence bound
variance float Rating variance
vote_count int Number of battles for this model
rank int Rank within this leaderboard
category string Leaderboard category (e.g., overall, coding, math)
leaderboard_publish_date string Date that this score was published (YYYY-MM-DD)

Agent Arena subsets use IPS scores instead of Bradley-Terry:

Column Type Description
model_name string Model identifier
organization string Model creator/organization
license string Model license
score float IPS score (ฯ„ฬ‚)
score_ci_lower float Lower 95% confidence bound
score_ci_upper float Upper 95% confidence bound
observation_count int Signal observations for this model
session_count int Distinct sessions (aggregate subset only)
rank int Rank within this leaderboard
category string Leaderboard category
leaderboard_publish_date string Date that this score was published (YYYY-MM-DD)
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