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.

78
fireworks/qwen3-coder-480b-a35b-instruct
Average duration
6s
Average tokens
1003
Average cost
$0.00
100
6s
1102
opper_normalization_sample_01
50
7s
1191
opper_normalization_sample_02
100
5s
1169
opper_normalization_sample_03
0
5s
945
opper_normalization_sample_04
50
6s
1356
opper_normalization_sample_05
50
7s
1238
opper_normalization_sample_06
0
7s
1533
opper_normalization_sample_07
50
8s
1382
opper_normalization_sample_08
50
13s
1832
opper_normalization_sample_09
100
6s
526
opper_normalization_sample_10
100
5s
448
opper_normalization_sample_11
100
5s
644
opper_normalization_sample_12
100
5s
743
opper_normalization_sample_13
100
4s
751
opper_normalization_sample_14
100
5s
933
opper_normalization_sample_15
100
4s
625
opper_normalization_sample_16
100
4s
673
opper_normalization_sample_17
100
5s
675
opper_normalization_sample_18
100
5s
638
opper_normalization_sample_19
50
8s
1585
opper_normalization_sample_20
100
5s
627
opper_normalization_sample_21
0
5s
713
opper_normalization_sample_22
100
8s
1308
opper_normalization_sample_23
100
6s
1141
opper_normalization_sample_24
100
6s
1062
opper_normalization_sample_25
100
6s
1175
opper_normalization_sample_26
100
5s
1064
opper_normalization_sample_27