AI BENCHY Category Failures
Data parsing and extraction: Wrong answer
Data parsing and extraction
Wrong answer
See which AI models are most likely to hit Wrong answer on Data parsing and extraction, so you can spot weak points faster. Sort by: Tests Correct ↓.
Failure Reasons
| Rank | Model | Company | Wrong answer Count | Category Score | Tests Correct | Response Time (avg) |
|---|---|---|---|---|---|---|
| #137 | Elephant Alpha none | Openrouter | 1 | 6.5 | 1/2 | 1.04s |
| #138 | Ling-2.6-flash none | Inclusionai | 1 | 6.5 | 1/2 | 8.48s |
| #140 | Qwen3 Coder Next none | Qwen | 1 | 6.5 | 1/2 | 1.32s |
| #148 | GPT-5.4 Nano none | OpenAI | 1 | 6.5 | 1/2 | 1.11s |
| #149 | Nemotron 3 Nano Omni 30b A3b Reasoning medium | NVIDIA | 1 | 7.3 | 1/2 | 2.72s |
| #150 | Qwen3 Coder Next medium | Qwen | 1 | 6.5 | 1/2 | 81.8s |
| #155 | Mercury 2 none | Inception | 1 | 7.3 | 1/2 | 667ms |
| #56 | MiMo-V2.5 medium | Xiaomi | 1 | 2.7 | 0/2 | 6.33s |
| #94 | GPT-5 Nano medium | OpenAI | 2 | 3.7 | 0/2 | 21.4s |
| #96 | Ring-2.6-1T none | Inclusionai | 1 | 3.0 | 0/2 | 45.9s |
| #100 | Grok Build 0.1 none | X AI | 1 | 3.8 | 0/2 | 9.33s |
| #129 | MiniMax M2.5 medium | Minimax | 2 | 4.6 | 0/2 | 7.48s |
| #160 | LFM2-24B-A2B none | Liquid | 2 | 3.0 | 0/2 | 714ms |
| #162 | Nemotron 3 Nano Omni 30b A3b Reasoning none | NVIDIA | 2 | 3.8 | 0/2 | 1.42s |
| #163 | Granite 4.1 8B none | IBM Granite | 2 | 3.0 | 0/2 | 575ms |