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
groq/moonshotai/kimi-k2-instruct
Average duration
3s
Average tokens
928
Average cost
$0.00
50
4s
966
opper_normalization_sample_01
50
4s
1056
opper_normalization_sample_02
100
3s
1167
opper_normalization_sample_03
100
4s
999
opper_normalization_sample_04
50
3s
1138
opper_normalization_sample_05
50
3s
1154
opper_normalization_sample_06
100
4s
1388
opper_normalization_sample_07
50
5s
1388
opper_normalization_sample_08
50
5s
1739
opper_normalization_sample_09
50
3s
475
opper_normalization_sample_10
50
3s
440
opper_normalization_sample_11
100
3s
605
opper_normalization_sample_12
100
3s
745
opper_normalization_sample_13
100
3s
746
opper_normalization_sample_14
100
3s
886
opper_normalization_sample_15
100
3s
606
opper_normalization_sample_16
100
3s
567
opper_normalization_sample_17
100
3s
588
opper_normalization_sample_18
100
3s
582
opper_normalization_sample_19
100
3s
1510
opper_normalization_sample_20
50
3s
634
opper_normalization_sample_21
100
3s
687
opper_normalization_sample_22
100
3s
982
opper_normalization_sample_23
100
3s
1037
opper_normalization_sample_24
100
3s
913
opper_normalization_sample_25
100
3s
1032
opper_normalization_sample_26
100
3s
1014
opper_normalization_sample_27