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
Average duration
9s
Average tokens
935
Average cost
$0.00
100
10s
976
opper_normalization_sample_01
50
9s
1134
opper_normalization_sample_02
100
8s
1158
opper_normalization_sample_03
100
8s
977
opper_normalization_sample_04
50
11s
1262
opper_normalization_sample_05
50
8s
1093
opper_normalization_sample_06
0
8s
1372
opper_normalization_sample_07
50
14s
1297
opper_normalization_sample_08
50
19s
1749
opper_normalization_sample_09
50
6s
480
opper_normalization_sample_10
100
6s
427
opper_normalization_sample_11
100
8s
635
opper_normalization_sample_12
100
8s
762
opper_normalization_sample_13
100
8s
735
opper_normalization_sample_14
100
9s
910
opper_normalization_sample_15
100
6s
630
opper_normalization_sample_16
100
16s
603
opper_normalization_sample_17
100
19s
656
opper_normalization_sample_18
100
6s
621
opper_normalization_sample_19
100
11s
1599
opper_normalization_sample_20
100
8s
605
opper_normalization_sample_21
0
7s
628
opper_normalization_sample_22
100
8s
944
opper_normalization_sample_23
100
7s
951
opper_normalization_sample_24
100
8s
917
opper_normalization_sample_25
100
10s
1052
opper_normalization_sample_26
100
9s
1063
opper_normalization_sample_27