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score
float64
-0.18
0.12
score_ci_lower
float64
-0.21
0.11
score_ci_upper
float64
-0.16
0.15
observation_count
float64
150k
5.44M
session_count
float64
4.58k
93.7k
rank
int64
1
47
category
stringclasses
1 value
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2026-08-12 00:00:00
2026-08-12 00:00:00
Claude Opus 5 (High)
anthropic
Proprietary
0.120123
0.105658
0.134587
2,232,115
19,732
1
overall
2026-08-12
Claude Opus 5 (Max)
anthropic
Proprietary
0.119984
0.10286
0.137108
1,803,690
15,509
2
overall
2026-08-12
Claude Fable 5 (High)
anthropic
Proprietary
0.119843
0.094347
0.14534
910,490
24,407
3
overall
2026-08-12
GPT 5.6 Sol (xHigh)
openai
Proprietary
0.107974
0.090014
0.125934
1,594,102
18,086
4
overall
2026-08-12
Kimi K3 (Max)
moonshot
Kimi K3 license
0.105378
0.094988
0.115768
2,431,944
28,369
5
overall
2026-08-12
Claude Opus 4.8 (High)
anthropic
Proprietary
0.096466
0.07878
0.114152
1,617,037
35,146
6
overall
2026-08-12
GPT 5.5 (xHigh)
openai
Proprietary
0.088319
0.078092
0.098546
2,022,789
47,563
7
overall
2026-08-12
Claude Opus 4.7 (High)
anthropic
Proprietary
0.082238
0.067986
0.09649
1,326,282
36,108
8
overall
2026-08-12
GPT 5.5 (High)
openai
Proprietary
0.077221
0.067585
0.086858
2,200,149
72,813
9
overall
2026-08-12
Claude Opus 4.7
anthropic
Proprietary
0.076817
0.062388
0.091245
1,417,266
36,671
10
overall
2026-08-12
Claude Sonnet 5 (High)
anthropic
Proprietary
0.072678
0.049887
0.09547
2,462,504
25,715
11
overall
2026-08-12
Claude Opus 4.6
anthropic
Proprietary
0.068648
0.054878
0.082418
1,260,702
35,844
12
overall
2026-08-12
GLM 5.2 (Max)
zai
MIT
0.067109
0.058211
0.076007
2,305,627
53,295
13
overall
2026-08-12
GPT 5.5
openai
Proprietary
0.06261
0.053582
0.071638
1,722,545
73,965
14
overall
2026-08-12
Grok 4.5
xai
Proprietary
0.059955
0.047992
0.071918
1,393,948
29,791
15
overall
2026-08-12
GPT 5.4 (High)
openai
Proprietary
0.049899
0.040496
0.059303
3,033,749
73,194
16
overall
2026-08-12
GPT 5.6 Luna (xHigh)
openai
Proprietary
0.042857
0.024111
0.061603
526,005
8,682
17
overall
2026-08-12
Deepseek V4 Flash (High) (20260731)
deepseek
MIT
0.03892
0.030717
0.047123
3,048,725
35,404
18
overall
2026-08-12
GPT 5.6 Terra (xHigh)
openai
Proprietary
0.036661
0.024156
0.049167
735,063
13,958
19
overall
2026-08-12
Claude Sonnet 4.6
anthropic
Proprietary
0.03061
0.016687
0.044532
1,249,286
36,697
20
overall
2026-08-12
Claude Opus 4.8
anthropic
Proprietary
0.021447
-0.005559
0.048454
1,391,493
33,186
21
overall
2026-08-12
Muse Spark 1.1
meta
Proprietary
0.010582
0.004549
0.016615
2,442,797
72,126
22
overall
2026-08-12
Kimi K2.7 Code
moonshot
Modified MIT
0.010325
-0.010925
0.031574
401,239
11,021
23
overall
2026-08-12
GLM 5.1
zai
MIT
0.005746
-0.002358
0.01385
3,226,609
71,302
24
overall
2026-08-12
Qwen3.7 Max
alibaba
Proprietary
0.000918
-0.007616
0.009453
1,248,622
30,583
25
overall
2026-08-12
DeepSeek V4 Pro
deepseek
MIT
0.000002
-0.00865
0.008653
1,380,449
30,047
26
overall
2026-08-12
Gemini 3.5 Flash (High)
google
Proprietary
-0.00386
-0.010101
0.002381
4,036,581
93,726
27
overall
2026-08-12
Gemini 3.1 Pro Preview
google
Proprietary
-0.004714
-0.012163
0.002735
2,577,824
81,316
28
overall
2026-08-12
Kimi K2.6
moonshot
Modified MIT
-0.005414
-0.028267
0.01744
320,229
11,168
29
overall
2026-08-12
Hy3
tencent
Apache 2.0
-0.011357
-0.024113
0.001398
612,247
18,212
30
overall
2026-08-12
Qwen3.7 Plus
alibaba
Proprietary
-0.01769
-0.031189
-0.004191
694,819
16,722
31
overall
2026-08-12
Mimo V2.5 Pro
xiaomi
MIT
-0.022376
-0.03142
-0.013332
1,258,705
31,251
32
overall
2026-08-12
DeepSeek V4 Flash
deepseek
MIT
-0.022382
-0.031368
-0.013397
1,188,280
23,570
33
overall
2026-08-12
gemini-3.6-flash-high
google
Proprietary
-0.0252
-0.037244
-0.013157
593,671
12,235
34
overall
2026-08-12
Minimax M3
minimax
MiniMax Community License
-0.025438
-0.033797
-0.017079
1,991,631
30,987
35
overall
2026-08-12
Gemini 3.5 Flash (Medium)
google
Proprietary
-0.037003
-0.051329
-0.022677
505,002
12,904
36
overall
2026-08-12
Inkling
thinky
Apache 2.0
-0.066697
-0.075852
-0.057542
1,305,666
35,643
37
overall
2026-08-12
Mistral Medium 3.5
mistral
Modified MIT
-0.069044
-0.0892
-0.048888
164,488
5,689
38
overall
2026-08-12
Grok 4.3 (High)
xai
Proprietary
-0.083733
-0.092475
-0.074991
1,624,377
62,136
39
overall
2026-08-12
Gemini 3 Flash
google
Proprietary
-0.086325
-0.094898
-0.077752
1,887,342
82,707
40
overall
2026-08-12
Grok Build 0.1
xai
Proprietary
-0.090027
-0.099369
-0.080686
5,443,365
73,679
41
overall
2026-08-12
gemini-3.5-flash-lite
google
Proprietary
-0.102034
-0.115485
-0.088583
326,549
10,979
42
overall
2026-08-12
Minimax M2.7
minimax
Modified MIT
-0.110424
-0.121229
-0.09962
660,621
31,130
43
overall
2026-08-12
Solar Pro 4
upstage
Proprietary
-0.115378
-0.136971
-0.093784
149,625
4,576
44
overall
2026-08-12
Grok 4.3
xai
Proprietary
-0.145634
-0.15792
-0.133349
1,288,197
82,104
45
overall
2026-08-12
Nemotron 3 Ultra
nvidia
OpenMDW-1.1
-0.146218
-0.171464
-0.120972
159,829
11,987
46
overall
2026-08-12
Gemma 4 31B
google
Apache 2.0
-0.183605
-0.210757
-0.156453
708,106
56,559
47
overall
2026-08-12

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_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.

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 (τ̂)
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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