AI BENCHY Categoriefouten
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. Sorteren op: Responstijd (gem.) ↓.
| Rang | Model | Bedrijf | API-fout-aantal | Categoriescore | Correcte tests | Responstijd (gem.) |
|---|---|---|---|---|---|---|
| #66 | Qwen3.5-35B-A3B medium | Qwen | 1 | 7.3 | 1/2 | 59.3s |
| #49 | Qwen3.5-Flash medium | Qwen | 1 | 7.3 | 1/2 | 57.0s |
| #96 | Ring-2.6-1T none | Inclusionai | 1 | 3.0 | 0/2 | 45.9s |
| #113 | DeepSeek V4 Pro none | DeepSeek | 1 | 6.9 | 1/2 | 30.5s |
| #103 | DeepSeek V4 Pro high | DeepSeek | 1 | 7.3 | 1/2 | 23.6s |
| #152 | MiMo-V2-Flash none | Xiaomi | 1 | 2.9 | 0/2 | 19.7s |
| #82 | Hy3 preview high | Tencent | 1 | 6.5 | 1/2 | 12.1s |
| #100 | Grok Build 0.1 none | X AI | 1 | 3.8 | 0/2 | 9.33s |
| #20 | Gemini 3.5 Flash none | 1 | 6.5 | 1/2 | 8.10s | |
| #126 | gpt-oss-120b none | OpenAI | 1 | 6.5 | 1/2 | 7.12s |
| #89 | Hy3 preview low | Tencent | 1 | 6.5 | 1/2 | 5.85s |
| #33 | Hy3 preview medium | Tencent | 1 | 6.5 | 1/2 | 5.25s |
| #156 | Hy3 preview none | Tencent | 1 | 6.5 | 1/2 | 2.85s |
| #132 | Mistral Small 4 medium | Mistral | 1 | 7.3 | 1/2 | 1.23s |
| #64 | MiMo-V2-Flash medium | Xiaomi | 1 | 6.5 | 1/2 | 0ms |