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
fireworks/deepseek-v3.1
Average duration
4s
Average tokens
972
Average cost
$0.00
50
3s
941
opper_normalization_sample_01
50
3s
1136
opper_normalization_sample_02
100
4s
1229
opper_normalization_sample_03
100
3s
949
opper_normalization_sample_04
50
8s
1231
opper_normalization_sample_05
50
4s
1218
opper_normalization_sample_06
50
5s
1405
opper_normalization_sample_07
50
12s
1376
opper_normalization_sample_08
50
8s
1700
opper_normalization_sample_09
100
4s
555
opper_normalization_sample_10
100
3s
461
opper_normalization_sample_11
100
3s
664
opper_normalization_sample_12
100
3s
774
opper_normalization_sample_13
100
3s
758
opper_normalization_sample_14
100
3s
890
opper_normalization_sample_15
100
3s
687
opper_normalization_sample_16
100
3s
704
opper_normalization_sample_17
100
3s
692
opper_normalization_sample_18
100
3s
632
opper_normalization_sample_19
100
4s
1622
opper_normalization_sample_20
50
3s
634
opper_normalization_sample_21
0
4s
750
opper_normalization_sample_22
100
3s
953
opper_normalization_sample_23
100
3s
1021
opper_normalization_sample_24
100
3s
959
opper_normalization_sample_25
100
4s
1140
opper_normalization_sample_26
100
5s
1158
opper_normalization_sample_27