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
mistral/magistral-medium-2506-eu
Average duration
12s
Average tokens
1178
Average cost
$0.00
100
5s
990
opper_normalization_sample_01
100
5s
1176
opper_normalization_sample_02
100
43s
2026
opper_normalization_sample_03
50
5s
969
opper_normalization_sample_04
50
5s
1283
opper_normalization_sample_05
50
40s
4969
opper_normalization_sample_06
100
4s
1471
opper_normalization_sample_07
50
7s
1369
opper_normalization_sample_08
50
8s
1820
opper_normalization_sample_09
50
5s
502
opper_normalization_sample_10
100
4s
457
opper_normalization_sample_11
100
4s
621
opper_normalization_sample_12
0
4s
746
opper_normalization_sample_13
100
4s
758
opper_normalization_sample_14
100
35s
933
opper_normalization_sample_15
50
4s
624
opper_normalization_sample_16
100
3s
614
opper_normalization_sample_17
100
5s
762
opper_normalization_sample_18
100
4s
661
opper_normalization_sample_19
50
5s
1569
opper_normalization_sample_20
0
1m 4s
617
opper_normalization_sample_21
100
5s
792
opper_normalization_sample_22
100
39s
1643
opper_normalization_sample_23
0
5s
1057
opper_normalization_sample_24
100
7s
1256
opper_normalization_sample_25
100
4s
1059
opper_normalization_sample_26
100
4s
1071
opper_normalization_sample_27