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.

83
anthropic/claude-sonnet-4
Average duration
12s
Average tokens
1192
Average cost
$0.00
100
14s
1186
opper_normalization_sample_01
50
13s
1368
opper_normalization_sample_02
100
13s
1420
opper_normalization_sample_03
100
11s
1193
opper_normalization_sample_04
50
13s
1531
opper_normalization_sample_05
50
11s
1540
opper_normalization_sample_06
100
13s
1762
opper_normalization_sample_07
50
13s
1598
opper_normalization_sample_08
50
12s
2069
opper_normalization_sample_09
100
13s
655
opper_normalization_sample_10
100
6s
528
opper_normalization_sample_11
100
13s
885
opper_normalization_sample_12
100
13s
989
opper_normalization_sample_13
100
13s
1084
opper_normalization_sample_14
100
11s
1190
opper_normalization_sample_15
100
11s
779
opper_normalization_sample_16
100
12s
751
opper_normalization_sample_17
100
12s
803
opper_normalization_sample_18
100
14s
765
opper_normalization_sample_19
50
10s
1928
opper_normalization_sample_20
0
10s
755
opper_normalization_sample_21
100
10s
825
opper_normalization_sample_22
100
12s
1308
opper_normalization_sample_23
100
10s
1349
opper_normalization_sample_24
100
12s
1245
opper_normalization_sample_25
50
12s
1370
opper_normalization_sample_26
100
10s
1320
opper_normalization_sample_27