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.

74
groq/gpt-oss-20b
Average duration
3s
Average tokens
1554
Average cost
$0.00
50
4s
1667
opper_normalization_sample_01
50
4s
1395
opper_normalization_sample_02
100
3s
1658
opper_normalization_sample_03
50
4s
1982
opper_normalization_sample_04
50
3s
2114
opper_normalization_sample_05
50
5s
3778
opper_normalization_sample_06
0
3s
1479
opper_normalization_sample_07
50
3s
1783
opper_normalization_sample_08
50
4s
3086
opper_normalization_sample_09
50
5s
2758
opper_normalization_sample_10
100
3s
795
opper_normalization_sample_11
100
3s
862
opper_normalization_sample_12
100
3s
887
opper_normalization_sample_13
100
3s
1014
opper_normalization_sample_14
100
3s
1355
opper_normalization_sample_15
100
3s
1006
opper_normalization_sample_16
100
3s
779
opper_normalization_sample_17
100
3s
796
opper_normalization_sample_18
100
3s
791
opper_normalization_sample_19
50
4s
2464
opper_normalization_sample_20
50
3s
877
opper_normalization_sample_21
50
3s
1154
opper_normalization_sample_22
100
4s
1605
opper_normalization_sample_23
100
4s
1509
opper_normalization_sample_24
100
3s
1424
opper_normalization_sample_25
50
3s
1490
opper_normalization_sample_26
100
3s
1441
opper_normalization_sample_27