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.
Failure Reasons
| Rank | Model | Company | Wrong answer Count | Category Score | Tests Correct | Response Time (avg) |
|---|---|---|---|---|---|---|
| #94 | GPT-5 Nano medium | OpenAI | 2 | 3.7 | 0/2 | 21.4s |
| #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 |
| #10 | Claude Opus 4.8 medium | Anthropic | 1 | 7.1 | 1/2 | 12.3s |
| #43 | MiMo-V2.5-Pro medium | Xiaomi | 1 | 7.3 | 1/2 | 18.8s |
| #51 | Mimo V2 PRO medium | Xiaomi | 1 | 7.3 | 1/2 | 17.2s |
| #56 | MiMo-V2.5 medium | Xiaomi | 1 | 2.7 | 0/2 | 6.33s |
| #57 | Step 3.7 Flash low | Stepfun | 1 | 7.3 | 1/2 | 2.29s |
| #68 | Claude Opus 4.8 none | Anthropic | 1 | 7.3 | 1/2 | 1.77s |
| #75 | Ring-2.6-1T medium | Inclusionai | 1 | 6.5 | 1/2 | 37.4s |
| #81 | Mercury 2 medium | Inception | 1 | 7.3 | 1/2 | 1.11s |
| #96 | Ring-2.6-1T none | Inclusionai | 1 | 3.0 | 0/2 | 45.9s |
| #99 | gpt-oss-120b medium | OpenAI | 1 | 6.4 | 1/2 | 1.98s |