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
groq/gpt-oss-120b
Average duration
4s
Average tokens
1461
Average cost
$0.00
0
4s
1418
opper_normalization_sample_01
50
4s
1839
opper_normalization_sample_02
100
3s
1520
opper_normalization_sample_03
0
4s
1592
opper_normalization_sample_04
50
5s
1716
opper_normalization_sample_05
50
5s
2594
opper_normalization_sample_06
100
3s
1651
opper_normalization_sample_07
50
6s
2383
opper_normalization_sample_08
50
7s
2862
opper_normalization_sample_09
100
5s
1665
opper_normalization_sample_10
100
3s
940
opper_normalization_sample_11
100
6s
799
opper_normalization_sample_12
100
3s
1092
opper_normalization_sample_13
100
3s
1064
opper_normalization_sample_14
100
3s
1255
opper_normalization_sample_15
100
3s
892
opper_normalization_sample_16
100
4s
863
opper_normalization_sample_17
100
2s
887
opper_normalization_sample_18
100
2s
820
opper_normalization_sample_19
100
3s
1975
opper_normalization_sample_20
0
3s
1007
opper_normalization_sample_21
0
3s
1137
opper_normalization_sample_22
100
3s
1531
opper_normalization_sample_23
100
3s
1338
opper_normalization_sample_24
100
3s
1382
opper_normalization_sample_25
100
3s
1582
opper_normalization_sample_26
100
4s
1638
opper_normalization_sample_27