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
cerebras/llama-4-maverick-17b-128e-instruct
Average duration
3s
Average tokens
966
Average cost
$0.00
100
4s
1039
opper_normalization_sample_01
0
4s
1215
opper_normalization_sample_02
100
3s
1143
opper_normalization_sample_03
0
3s
998
opper_normalization_sample_04
50
3s
1201
opper_normalization_sample_05
50
3s
1254
opper_normalization_sample_06
100
4s
1341
opper_normalization_sample_07
50
4s
1294
opper_normalization_sample_08
50
3s
1656
opper_normalization_sample_09
50
3s
568
opper_normalization_sample_10
100
3s
464
opper_normalization_sample_11
100
3s
626
opper_normalization_sample_12
100
3s
761
opper_normalization_sample_13
100
3s
742
opper_normalization_sample_14
100
3s
1009
opper_normalization_sample_15
100
3s
641
opper_normalization_sample_16
100
3s
658
opper_normalization_sample_17
100
3s
617
opper_normalization_sample_18
100
3s
661
opper_normalization_sample_19
50
3s
1579
opper_normalization_sample_20
0
3s
628
opper_normalization_sample_21
100
3s
701
opper_normalization_sample_22
100
3s
1046
opper_normalization_sample_23
100
3s
914
opper_normalization_sample_24
100
3s
1184
opper_normalization_sample_25
100
3s
1145
opper_normalization_sample_26
100
3s
1005
opper_normalization_sample_27