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.

78
gcp/gemini-2.5-flash-lite
Average duration
9s
Average tokens
1125
Average cost
$0.00
100
10s
1032
opper_normalization_sample_01
50
11s
1594
opper_normalization_sample_02
100
11s
1369
opper_normalization_sample_03
50
10s
959
opper_normalization_sample_04
50
11s
1317
opper_normalization_sample_05
50
10s
1282
opper_normalization_sample_06
100
11s
1620
opper_normalization_sample_07
50
10s
1472
opper_normalization_sample_08
50
10s
1958
opper_normalization_sample_09
50
10s
1161
opper_normalization_sample_10
100
10s
456
opper_normalization_sample_11
100
10s
752
opper_normalization_sample_12
100
10s
917
opper_normalization_sample_13
100
11s
1138
opper_normalization_sample_14
100
10s
1263
opper_normalization_sample_15
100
8s
637
opper_normalization_sample_16
100
9s
690
opper_normalization_sample_17
100
8s
718
opper_normalization_sample_18
100
8s
706
opper_normalization_sample_19
100
8s
1674
opper_normalization_sample_20
0
8s
686
opper_normalization_sample_21
0
8s
794
opper_normalization_sample_22
100
8s
1460
opper_normalization_sample_23
100
8s
1085
opper_normalization_sample_24
50
8s
1408
opper_normalization_sample_25
100
8s
1168
opper_normalization_sample_26
100
7s
1053
opper_normalization_sample_27