Data Normalization

Data processing and normalization tasks evaluate structured output from messy prose and different structures. This capability is essential for catalogue and product pipelines where data needs to be extracted from unstructured text and formatted consistently. Models must understand the desired output format and extract relevant information accurately.

76
anthropic/claude-sonnet-4.5
Average duration
8s
Average tokens
1339
Average cost
$0.00
100
7s
1286
opper_normalization_sample_01
0
9s
1517
opper_normalization_sample_02
100
10s
1722
opper_normalization_sample_03
100
7s
1226
opper_normalization_sample_04
100
6s
1535
opper_normalization_sample_05
50
8s
1641
opper_normalization_sample_06
100
10s
2005
opper_normalization_sample_07
50
10s
1714
opper_normalization_sample_08
50
13s
2273
opper_normalization_sample_09
100
6s
680
opper_normalization_sample_10
100
6s
598
opper_normalization_sample_11
100
7s
965
opper_normalization_sample_12
0
13s
1181
opper_normalization_sample_13
100
9s
1231
opper_normalization_sample_14
0
7s
1318
opper_normalization_sample_15
100
6s
879
opper_normalization_sample_16
100
6s
888
opper_normalization_sample_17
100
5s
879
opper_normalization_sample_18
100
6s
869
opper_normalization_sample_19
100
8s
2261
opper_normalization_sample_20
0
8s
878
opper_normalization_sample_21
100
8s
1037
opper_normalization_sample_22
100
8s
1494
opper_normalization_sample_23
100
8s
1438
opper_normalization_sample_24
100
9s
1651
opper_normalization_sample_25
0
7s
1490
opper_normalization_sample_26
100
10s
1485
opper_normalization_sample_27