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.

82
gcp/gemini-2.5-flash
Average duration
9s
Average tokens
1849
Average cost
$0.00
0
7s
1478
opper_normalization_sample_01
50
10s
2181
opper_normalization_sample_02
100
8s
1868
opper_normalization_sample_03
100
10s
1590
opper_normalization_sample_04
50
5s
1456
opper_normalization_sample_05
50
7s
1846
opper_normalization_sample_06
100
12s
2569
opper_normalization_sample_07
100
25s
5578
opper_normalization_sample_08
100
29s
6167
opper_normalization_sample_09
0
12s
2004
opper_normalization_sample_10
50
6s
737
opper_normalization_sample_11
100
4s
772
opper_normalization_sample_12
100
9s
1650
opper_normalization_sample_13
100
9s
1784
opper_normalization_sample_14
100
6s
1354
opper_normalization_sample_15
100
4s
875
opper_normalization_sample_16
50
7s
881
opper_normalization_sample_17
100
6s
748
opper_normalization_sample_18
100
5s
764
opper_normalization_sample_19
100
5s
1952
opper_normalization_sample_20
50
4s
724
opper_normalization_sample_21
100
6s
1293
opper_normalization_sample_22
100
9s
2297
opper_normalization_sample_23
100
8s
1981
opper_normalization_sample_24
100
11s
2504
opper_normalization_sample_25
100
5s
1429
opper_normalization_sample_26
100
5s
1450
opper_normalization_sample_27