Gegevensparsering en extractie-ranglijst
Zie welke AI-modellen het best presteren op Gegevensparsering en extractie, welke betrouwbaar blijven en waar de grootste verschillen zitten.
Getoonde modellen
15
Gemiddelde Gegevensparsering en extractie-score
0.9
Beste model
Ling 3.1 Flash 1.0
451/451
Modellen filteren
Geen modellen komen overeen met de huidige zoekopdracht en filters.
| Rang | Model | Bedrijf | Gegevensparsering en extractie-score | Score | Totale kosten | Correcte tests | Responstijd (gem.) |
|---|---|---|---|---|---|---|---|
| #447 | Microsoft-Decision-1 default | Microsoft | 0.3 | 0.1 | $0.002 | 0/2 | 1.16s |
| #449 | Tev1 4B Experimental default | Togethercomputer | 0.3 | 1.0 | $0.002 | 0/2 | 509ms |
| #450 | Nimble v3 9B default | Bespoke Labs | 0.3 | 0.8 | ~$0.001 | 0/2 | 880ms |
| #378 | Nemotron 3.5 Lightning low | NVIDIA | 0.3 | 0.5 | $0.175 | 0/2 | 31.3s |
| #389 | Granite 4.2 8B none | IBM Granite | 0.3 | 0.4 | $0.037 | 0/2 | 1.05s |
| #420 | MiMo-V2-Flash default | Xiaomi | 0.3 | 0.3 | $0.025 | 0/2 | 19.7s |
| #407 | Xing4.0 29b A4b medium | Xingchen AGI | 0.3 | 0.4 | $0.000 | 0/2 | 147.5s |
| #421 | Xing4.0 29b A4b none | Xingchen AGI | 0.3 | 0.3 | $0.000 | 0/2 | 12.3s |
| #397 | Mercury 2.5 none | Inception | 0.3 | 0.4 | $0.026 | 0/2 | 885ms |
| #408 | Ling 3.0 Tiny high | Inclusionai | 0.3 | 0.4 | $0.000 | 0/2 | 4.16s |
| #409 | Ling 3.0 Tiny low | Inclusionai | 0.3 | 0.4 | $0.000 | 0/2 | 4.82s |
| #183 | MiMo-V2.5 medium | Xiaomi | 0.3 | 0.7 | $0.130 | 0/2 | 6.33s |
| #410 | Ling 3.0 Tiny medium | Inclusionai | 0.3 | 0.4 | $0.000 | 0/2 | 4.41s |
| #442 | Step 3.5 Flash none | Stepfun | 0.2 | 0.2 | $0.020 | 0/1 | 0ms |
| #444 | Gemini 3 Flash Preview high | 0.0 | 0.2 | $0.105 | 0/0 | 0ms |