CursorBench
Lumina VerifiedLumina checked the published sources, versions, model labels, score extraction and conversion. External evaluations were run by their publishers; Lumina has not independently rerun or reproduced them.Agentic coding on tasks drawn from real engineering work. Published results, checked by Lumina.
CursorBench · Lumina Score
Publisher results on a fixed Lumina scale. Experimental calibration.
Lumina Score vs Cost per Task
Published API-equivalent USD per task.
Lumina Score vs Output Tokens
Published output tokens per task; input and cached tokens are not included.
Lumina Score vs Agent Steps
Published agent steps per task. Steps are not tool calls or generation time.
Publisher-reported averages. Numeric confidence intervals were not published. Missing metrics are omitted from their graph; quality scores remain available.
All results
1 · Claude Opus 5.5Max1161
- CursorBench score
- 57.8%
- API USD/task
- $13.43
- Output tokens/task
- 218,363
- Agent steps/task
- 185
- Evidence
- Model profile ↗
2 · Claude Opus 5.5xHigh1146
- CursorBench score
- 56%
- API USD/task
- $6.98
- Output tokens/task
- 101,083
- Agent steps/task
- 109
- Evidence
- Model profile ↗
2 · Claude Opus 5.5High1146
- CursorBench score
- 56%
- API USD/task
- $3.97
- Output tokens/task
- 53,078
- Agent steps/task
- 68
- Evidence
- Model profile ↗
4 · Claude Sonnet 5.5Max1141
- CursorBench score
- 55.5%
- API USD/task
- $7.05
- Output tokens/task
- 271,920
- Agent steps/task
- 170
- Evidence
- Model profile ↗
5 · Claude Sonnet 5.5xHigh1121
- CursorBench score
- 53.1%
- API USD/task
- $2.81
- Output tokens/task
- 100,158
- Agent steps/task
- 78
- Evidence
- Model profile ↗
6 · Gemini 4 ArgonHigh1119
- CursorBench score
- 52.9%
- API USD/task
- $4.57
- Output tokens/task
- 109,500
- Agent steps/task
- 118
- Evidence
- Model profile ↗
7 · Gemini 4 ArgonMedium1118
- CursorBench score
- 52.8%
- API USD/task
- $4.39
- Output tokens/task
- 103,600
- Agent steps/task
- 115
- Evidence
- Model profile ↗
8 · Claude Opus 5.5Medium1116
- CursorBench score
- 52.5%
- API USD/task
- $2.91
- Output tokens/task
- 37,954
- Agent steps/task
- 54
- Evidence
- Model profile ↗
9 · Claude Fable 5.1Max1110
- CursorBench score
- 51.8%
- API USD/task
- $17.28
- Output tokens/task
- 117,236
- Agent steps/task
- 128
- Evidence
- Model profile ↗
10 · Claude Fable 5.1xHigh1108
- CursorBench score
- 51.6%
- API USD/task
- $13.01
- Output tokens/task
- 87,294
- Agent steps/task
- 101
- Evidence
- Model profile ↗
11 · Gemini 4 ArgonLow1100
- CursorBench score
- 50.6%
- API USD/task
- $4.09
- Output tokens/task
- 94,200
- Agent steps/task
- 110
- Evidence
- Model profile ↗
12 · Muse WonderMax1098
- CursorBench score
- 50.4%
- API USD/task
- $5.25
- Output tokens/task
- 49,692
- Agent steps/task
- 114
- Evidence
- Model profile ↗
13 · Claude Fable 5.1High1088
- CursorBench score
- 49.2%
- API USD/task
- $9.08
- Output tokens/task
- 58,438
- Agent steps/task
- 77
- Evidence
- Model profile ↗
14 · Claude Haiku 5.5Max1081
- CursorBench score
- 48.4%
- API USD/task
- $1.12
- Output tokens/task
- 325,934
- Agent steps/task
- 163
- Evidence
- Model profile ↗
15 · Muse WonderxHigh1079
- CursorBench score
- 48.2%
- API USD/task
- $4.24
- Output tokens/task
- 39,564
- Agent steps/task
- 96
- Evidence
- Model profile ↗
16 · Claude Sonnet 5.5High1076
- CursorBench score
- 47.8%
- API USD/task
- $1.2
- Output tokens/task
- 37,391
- Agent steps/task
- 41
- Evidence
- Model profile ↗
17 · DeepSeek V4.1 Flash 1017Max1075
- CursorBench score
- 47.7%
- API USD/task
- $0.98
- Output tokens/task
- 537,047
- Agent steps/task
- 187
- Evidence
- Model profile ↗
18 · Claude Fable 5.1Medium1067
- CursorBench score
- 46.8%
- API USD/task
- $7.05
- Output tokens/task
- 45,411
- Agent steps/task
- 63
- Evidence
- Model profile ↗
19 · Claude Opus 5Max1065
- CursorBench score
- 46.6%
- API USD/task
- $11.95
- Output tokens/task
- 85,384
- Agent steps/task
- 106
- Evidence
- Model profile ↗
20 · DeepSeek V4.1 Flash 1017Medium1063
- CursorBench score
- 46.3%
- API USD/task
- $0.8
- Output tokens/task
- 398,255
- Agent steps/task
- 189
- Evidence
- Model profile ↗
20 · Grok 4.7xHigh1063
- CursorBench score
- 46.3%
- API USD/task
- $6.01
- Output tokens/task
- 70,141
- Agent steps/task
- 88
- Evidence
- Model profile ↗
22 · Muse WonderHigh1061
- CursorBench score
- 46.1%
- API USD/task
- $3.51
- Output tokens/task
- 33,612
- Agent steps/task
- 84
- Evidence
- Model profile ↗
22 · Claude Opus 5xHigh1061
- CursorBench score
- 46.1%
- API USD/task
- $11.43
- Output tokens/task
- 80,094
- Agent steps/task
- 103
- Evidence
- Model profile ↗
24 · DeepSeek V4.1 Flash 1017High1057
- CursorBench score
- 45.6%
- API USD/task
- $0.77
- Output tokens/task
- 385,196
- Agent steps/task
- 186
- Evidence
- Model profile ↗
25 · Claude Fable 5.1Low1053
- CursorBench score
- 45.1%
- API USD/task
- $5.44
- Output tokens/task
- 34,795
- Agent steps/task
- 51
- Evidence
- Model profile ↗
25 · Muse WonderMedium1053
- CursorBench score
- 45.2%
- API USD/task
- $2.82
- Output tokens/task
- 27,124
- Agent steps/task
- 75
- Evidence
- Model profile ↗
27 · DeepSeek V4.1 Flash 1017Low1051
- CursorBench score
- 44.9%
- API USD/task
- $0.6
- Output tokens/task
- 290,651
- Agent steps/task
- 161
- Evidence
- Model profile ↗
28 · Claude Opus 5High1049
- CursorBench score
- 44.7%
- API USD/task
- $9
- Output tokens/task
- 61,405
- Agent steps/task
- 86
- Evidence
- Model profile ↗
29 · Claude Haiku 5.5xHigh1046
- CursorBench score
- 44.3%
- API USD/task
- $0.56
- Output tokens/task
- 143,813
- Agent steps/task
- 93
- Evidence
- Model profile ↗
30 · Grok 4.7High1042
- CursorBench score
- 43.9%
- API USD/task
- $4.69
- Output tokens/task
- 56,382
- Agent steps/task
- 71
- Evidence
- Model profile ↗
31 · Claude Opus 5.5Low1041
- CursorBench score
- 43.7%
- API USD/task
- $1.17
- Output tokens/task
- 15,811
- Agent steps/task
- 28
- Evidence
- Model profile ↗
32 · Claude Opus 5Medium1037
- CursorBench score
- 43.3%
- API USD/task
- $6.94
- Output tokens/task
- 45,272
- Agent steps/task
- 72
- Evidence
- Model profile ↗
33 · GLM 5.3Max1031
- CursorBench score
- 42.6%
- API USD/task
- $5.05
- Output tokens/task
- 96,387
- Agent steps/task
- 166
- Evidence
- Model profile ↗
34 · Claude Haiku 5.5High1029
- CursorBench score
- 42.3%
- API USD/task
- $0.32
- Output tokens/task
- 77,057
- Agent steps/task
- 59
- Evidence
- Model profile ↗
35 · GPT-5.6 SolMax1023
- CursorBench score
- 41.7%
- API USD/task
- $8.23
- Output tokens/task
- 42,944
- Agent steps/task
- 99
- Evidence
- Model profile ↗
35 · Grok 4.7Medium1023
- CursorBench score
- 41.6%
- API USD/task
- $3.49
- Output tokens/task
- 36,683
- Agent steps/task
- 60
- Evidence
- Model profile ↗
35 · Muse Spark 1.3Max1023
- CursorBench score
- 41.6%
- API USD/task
- $2.64
- Output tokens/task
- 52,005
- Agent steps/task
- 98
- Evidence
- Model profile ↗
35 · Muse WonderLow1023
- CursorBench score
- 41.7%
- API USD/task
- $1.91
- Output tokens/task
- 18,880
- Agent steps/task
- 56
- Evidence
- Model profile ↗
39 · Grok 4.6xHigh1021
- CursorBench score
- 41.4%
- API USD/task
- $6.1
- Output tokens/task
- 49,814
- Agent steps/task
- 56
- Evidence
- Model profile ↗
40 · GPT-5.6 TerraMax1020
- CursorBench score
- 41.3%
- API USD/task
- $5.14
- Output tokens/task
- 60,814
- Agent steps/task
- 107
- Evidence
- Model profile ↗
41 · Claude Opus 5Low1015
- CursorBench score
- 40.7%
- API USD/task
- $4.87
- Output tokens/task
- 31,995
- Agent steps/task
- 57
- Evidence
- Model profile ↗
42 · Grok 4.6High1012
- CursorBench score
- 40.4%
- API USD/task
- $5.2
- Output tokens/task
- 41,387
- Agent steps/task
- 48
- Evidence
- Model profile ↗
43 · Gemini 3.8 FlashHigh1006
- CursorBench score
- 39.6%
- API USD/task
- $4.7
- Output tokens/task
- 162,565
- Agent steps/task
- 324
- Evidence
- Model profile ↗
44 · Claude Sonnet 5.5Medium1002
- CursorBench score
- 39.2%
- API USD/task
- $0.52
- Output tokens/task
- 16,036
- Agent steps/task
- 22
- Evidence
- Model profile ↗
45 · GLM 5.3High992
- CursorBench score
- 38%
- API USD/task
- $3.24
- Output tokens/task
- 60,031
- Agent steps/task
- 114
- Evidence
- Model profile ↗
46 · GPT-5.6 SolxHigh989
- CursorBench score
- 37.7%
- API USD/task
- $4.4
- Output tokens/task
- 24,729
- Agent steps/task
- 55
- Evidence
- Model profile ↗
47 · Muse Spark 1.3xHigh988
- CursorBench score
- 37.5%
- API USD/task
- $2.1
- Output tokens/task
- 40,891
- Agent steps/task
- 83
- Evidence
- Model profile ↗
48 · Gemini 3.8 FlashMedium986
- CursorBench score
- 37.3%
- API USD/task
- $4.06
- Output tokens/task
- 128,364
- Agent steps/task
- 290
- Evidence
- Model profile ↗
49 · GLM 5.3 FlashMax982
- CursorBench score
- 36.8%
- API USD/task
- $0.39
- Output tokens/task
- 56,410
- Agent steps/task
- 118
- Evidence
- Model profile ↗
49 · Claude Haiku 5.5Medium982
- CursorBench score
- 36.9%
- API USD/task
- $0.17
- Output tokens/task
- 42,659
- Agent steps/task
- 39
- Evidence
- Model profile ↗
51 · Grok 4.6Medium976
- CursorBench score
- 36.1%
- API USD/task
- $3.48
- Output tokens/task
- 24,893
- Agent steps/task
- 40
- Evidence
- Model profile ↗
52 · GPT-5.6 LunaMax974
- CursorBench score
- 35.9%
- API USD/task
- $1.03
- Output tokens/task
- 87,284
- Agent steps/task
- 208
- Evidence
- Model profile ↗
53 · Claude Sonnet 5.5Low973
- CursorBench score
- 35.8%
- API USD/task
- $0.37
- Output tokens/task
- 11,668
- Agent steps/task
- 18
- Evidence
- Model profile ↗
54 · GPT-5.6 SolHigh972
- CursorBench score
- 35.7%
- API USD/task
- $2.85
- Output tokens/task
- 16,174
- Agent steps/task
- 41
- Evidence
- Model profile ↗
55 · Muse WonderMinimal959
- CursorBench score
- 34.2%
- API USD/task
- $0.84
- Output tokens/task
- 9,761
- Agent steps/task
- 33
- Evidence
- Model profile ↗
55 · Claude Sonnet 5Max959
- CursorBench score
- 34.1%
- API USD/task
- $7.17
- Output tokens/task
- 149,257
- Agent steps/task
- 140
- Evidence
- Model profile ↗
57 · GPT-5.6 TerraxHigh954
- CursorBench score
- 33.6%
- API USD/task
- $1.81
- Output tokens/task
- 23,436
- Agent steps/task
- 43
- Evidence
- Model profile ↗
58 · Grok 4.6Low953
- CursorBench score
- 33.4%
- API USD/task
- $2.25
- Output tokens/task
- 16,307
- Agent steps/task
- 32
- Evidence
- Model profile ↗
58 · Muse Spark 1.3High953
- CursorBench score
- 33.4%
- API USD/task
- $1.66
- Output tokens/task
- 30,654
- Agent steps/task
- 69
- Evidence
- Model profile ↗
60 · GLM 5.3Low952
- CursorBench score
- 33.3%
- API USD/task
- $2.04
- Output tokens/task
- 31,983
- Agent steps/task
- 81
- Evidence
- Model profile ↗
61 · Grok 4.7Low950
- CursorBench score
- 33.1%
- API USD/task
- $1.58
- Output tokens/task
- 15,677
- Agent steps/task
- 40
- Evidence
- Model profile ↗
62 · GPT-5.6 LunaxHigh949
- CursorBench score
- 33%
- API USD/task
- $0.44
- Output tokens/task
- 40,598
- Agent steps/task
- 98
- Evidence
- Model profile ↗
63 · Muse Spark 1.3Medium946
- CursorBench score
- 32.6%
- API USD/task
- $1.49
- Output tokens/task
- 27,255
- Agent steps/task
- 64
- Evidence
- Model profile ↗
64 · Claude Sonnet 5xHigh941
- CursorBench score
- 32%
- API USD/task
- $4.55
- Output tokens/task
- 83,373
- Agent steps/task
- 102
- Evidence
- Model profile ↗
65 · GLM 5.3 FlashHigh933
- CursorBench score
- 31.1%
- API USD/task
- $0.25
- Output tokens/task
- 35,104
- Agent steps/task
- 84
- Evidence
- Model profile ↗
65 · GPT-5.6 SolMedium933
- CursorBench score
- 31.1%
- API USD/task
- $1.77
- Output tokens/task
- 10,111
- Agent steps/task
- 32
- Evidence
- Model profile ↗
67 · Claude Haiku 5.5Low931
- CursorBench score
- 30.9%
- API USD/task
- $0.08
- Output tokens/task
- 23,382
- Agent steps/task
- 25
- Evidence
- Model profile ↗
68 · Claude Sonnet 5High930
- CursorBench score
- 30.8%
- API USD/task
- $3.48
- Output tokens/task
- 61,146
- Agent steps/task
- 85
- Evidence
- Model profile ↗
69 · GPT-5.6 TerraHigh929
- CursorBench score
- 30.7%
- API USD/task
- $1.11
- Output tokens/task
- 13,162
- Agent steps/task
- 33
- Evidence
- Model profile ↗
70 · GPT-5.6 LunaHigh918
- CursorBench score
- 29.4%
- API USD/task
- $0.25
- Output tokens/task
- 23,368
- Agent steps/task
- 64
- Evidence
- Model profile ↗
71 · Muse Spark 1.3Low917
- CursorBench score
- 29.3%
- API USD/task
- $0.93
- Output tokens/task
- 17,483
- Agent steps/task
- 47
- Evidence
- Model profile ↗
72 · Claude Sonnet 5Medium906
- CursorBench score
- 28%
- API USD/task
- $2.31
- Output tokens/task
- 39,114
- Agent steps/task
- 65
- Evidence
- Model profile ↗
73 · Composer 2.5Not specified904
- CursorBench score
- 27.7%
- API USD/task
- $0.68
- Output tokens/task
- 17,347
- Agent steps/task
- 41
- Evidence
- Model profile ↗
74 · GPT-5.6 TerraMedium903
- CursorBench score
- 27.6%
- API USD/task
- $0.64
- Output tokens/task
- 7,307
- Agent steps/task
- 25
- Evidence
- Model profile ↗
75 · GLM 5.3 FlashLow897
- CursorBench score
- 26.9%
- API USD/task
- $0.15
- Output tokens/task
- 17,831
- Agent steps/task
- 58
- Evidence
- Model profile ↗
76 · GPT-5.6 TerraLow882
- CursorBench score
- 25.2%
- API USD/task
- $0.52
- Output tokens/task
- 5,914
- Agent steps/task
- 23
- Evidence
- Model profile ↗
77 · GPT-5.6 SolLow877
- CursorBench score
- 24.6%
- API USD/task
- $0.87
- Output tokens/task
- 4,885
- Agent steps/task
- 21
- Evidence
- Model profile ↗
78 · Muse Spark 1.3Minimal875
- CursorBench score
- 24.3%
- API USD/task
- $0.56
- Output tokens/task
- 10,620
- Agent steps/task
- 34
- Evidence
- Model profile ↗
79 · Claude Sonnet 5Low873
- CursorBench score
- 24.1%
- API USD/task
- $1.39
- Output tokens/task
- 23,772
- Agent steps/task
- 46
- Evidence
- Model profile ↗
80 · GPT-5.6 LunaMedium857
- CursorBench score
- 22.2%
- API USD/task
- $0.08
- Output tokens/task
- 7,642
- Agent steps/task
- 32
- Evidence
- Model profile ↗
81 · GPT-5.6 LunaLow804
- CursorBench score
- 16%
- API USD/task
- $0.03
- Output tokens/task
- 3,288
- Agent steps/task
- 18
- Evidence
- Model profile ↗
Source & conversion
Cursor reports solution-correctness scores on coding tasks drawn from real engineering work. The exact version4.0 task count, agent build and dated API model snapshots are not published. Older methodology descriptions should not be treated as the complete version4.0 protocol.
API-equivalent task cost uses published input, cache-read, cache-write and output pricing. Tokens means output tokens per task. Agent steps are publisher-reported averages; a formal step definition and comparable timing data are unavailable.
How the Lumina conversion works
1,000 + 75 × ((original score − 38.952) / 8.773237486811809). The result is rounded once. Scores may tie.
The fixed reference contains75 initial published configurations, excluding six Anthropic Max settings. Population standard deviation uses N. New entries use the same frozen parameters. This is a display calibration, not equivalence to our original creation tests.
- Calibration
- cursorbench-4-z75-v1 · experimental
- Reference mean
- 38.952
- Population SD
- 8.773237486811809
- Coverage
- Independent benchmark; no contribution to the current Capabilities Index.
Identity, exclusions & attribution
GPT-5.6 Sol, Terra and Luna are distinct from Lumina’s GPT-6.x test models. Serving-provider labels are retained separately from model producers. A source label does not establish a dated API snapshot or a match to a Lumina harness configuration.
All published reasoning settings, including Claude Max, are included by default. Display labels use Low and xHigh; source labels remain in the retained records.
Published leaderboard · Publisher methodology · Model identity and pricing documentation
Publisher terms. Scores and resource figures are attributed to the original publisher.