Gegevensparsering en extractie: Verkeerd antwoord
Gegevensparsering en extractie
Verkeerd antwoord
Zie welke AI-modellen op Gegevensparsering en extractie het meest kans hebben op Verkeerd antwoord, zodat je zwakke punten sneller ziet.
Foutredenen
80/80
Modellen filteren
Geen modellen komen overeen met de huidige zoekopdracht en filters.
| Rang | Model | Bedrijf | Verkeerd antwoord-aantal | Categoriescore | Totale kosten | Correcte tests | Responstijd (gem.) |
|---|---|---|---|---|---|---|---|
| #267 | Trinity Large Thinking medium | Arcee AI | 1 | 0.6 | $0.862 | 1/2 | 16.4s |
| #272 | Granite 4.2 8B medium | IBM Granite | 1 | 0.7 | $0.029 | 1/2 | 1.43s |
| #281 | gpt-oss-120b medium | OpenAI | 1 | 0.6 | $0.030 | 1/2 | 1.98s |
| #290 | Ling 3.0 Flash high | Inclusionai | 1 | 0.7 | $0.021 | 1/2 | 7.15s |
| #291 | Ring 2.6 1t medium | Inclusionai | 1 | 0.6 | $0.102 | 1/2 | 37.4s |
| #292 | Trinity Large Thinking high | Arcee AI | 1 | 0.6 | $0.794 | 1/2 | 14.0s |
| #296 | Seed 2.1 Turbo none | Bytedance Seed | 1 | 0.7 | $0.182 | 1/2 | 2.63s |
| #297 | Dots 3 Note Preview medium | Dots Studio | 1 | 0.4 | $0.000 | 0/2 | 78.5s |
| #315 | Qwen3.8 27B none | Qwen | 1 | 0.6 | ~$0.010 | 1/2 | 1.14s |
| #317 | Hy4 preview low | Tencent | 1 | 0.9 | $1.844 | 1/2 | 88.5s |
| #323 | Granite 4.2 8B low | IBM Granite | 1 | 0.7 | $0.036 | 1/2 | 1.39s |
| #324 | Kimi K2.5 none | Moonshot AI | 1 | 0.7 | $0.262 | 1/2 | 42.1s |
| #331 | KAT Coder AIR V2.5 high | Kwaipilot | 1 | 0.6 | $0.077 | 1/2 | 3.59s |
| #332 | Mimo V2 PRO medium | Xiaomi | 1 | 0.7 | $0.333 | 1/2 | 17.2s |
| #336 | Mercury 2.5 low | Inception | 1 | 0.6 | $0.020 | 1/2 | 1.06s |