Gegevensparsering en extractie: API-fout
Gegevensparsering en extractie
API-fout
Zie welke AI-modellen op Gegevensparsering en extractie het meest kans hebben op API-fout, zodat je zwakke punten sneller ziet.
Foutredenen
33/33
Modellen filteren
Geen modellen komen overeen met de huidige zoekopdracht en filters.
| Rang | Model | Bedrijf | API-fout-aantal | Categoriescore | Totale kosten | Correcte tests | Responstijd (gem.) |
|---|---|---|---|---|---|---|---|
| #243 | Minimax M3.1 Flash xhigh | Minimax | 1 | 0.7 | $0.000 | 1/2 | 949ms |
| #252 | Qwen3.5-35B-A3B medium | Qwen | 1 | 0.7 | $0.716 | 1/2 | 59.3s |
| #256 | Minimax M3.1 Flash medium | Minimax | 1 | 0.7 | $0.000 | 1/2 | 864ms |
| #273 | Gemini 3.5 Flash none | 1 | 0.7 | $1.752 | 1/2 | 8.10s | |
| #298 | DeepSeek V4.1 Flash none | DeepSeek | 1 | 0.7 | $0.391 | 1/2 | 3.09s |
| #319 | GPT-6 Luna none | OpenAI | 1 | 0.7 | $0.026 | 1/2 | 9.34s |
| #329 | Ember-1 none | Fireworks | 1 | 0.6 | $0.786 | 1/2 | 35.3s |
| #330 | Hy3 preview medium | Tencent | 1 | 0.7 | $0.049 | 1/2 | 5.25s |
| #342 | MiMo-V2-Flash medium | Xiaomi | 1 | 0.7 | $0.043 | 1/2 | 0ms |
| #343 | Mistral Small 4 medium | Mistral | 1 | 0.7 | $0.126 | 1/2 | 1.23s |
| #365 | Hy3 preview high | Tencent | 1 | 0.7 | $0.135 | 1/2 | 12.1s |
| #383 | Hy3 preview low | Tencent | 1 | 0.7 | $0.042 | 1/2 | 5.85s |
| #384 | Ring 2.6 1t default | Inclusionai | 1 | 0.3 | $0.026 | 0/2 | 45.9s |
| #395 | gpt-oss-120b none | OpenAI | 1 | 0.7 | $0.016 | 1/2 | 7.12s |
| #419 | Hy3 preview none | Tencent | 1 | 0.7 | $0.007 | 1/2 | 2.85s |