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: Response Time (avg) ↓.
Related Failure Reasons
| Rank | Model | Company | Wrong answer Count | Category Score | Tests Correct | Response Time (avg) |
|---|---|---|---|---|---|---|
| #50 | Qwen3 Coder Next medium | Qwen | 1 | 5.4 | 1/2 | 81.8s |
| #46 | Kimi K2.5 none | Moonshot AI | 1 | 5.4 | 1/2 | 42.1s |
| #34 | GPT-5 Nano medium | OpenAI | 2 | 10.0 | 0/2 | 21.4s |
| #33 | DeepSeek V3.2 none | DeepSeek | 1 | 5.4 | 1/2 | 9.42s |
| #43 | MiniMax M2.5 medium | Minimax | 2 | 10.0 | 0/2 | 7.48s |
| #49 | GLM 4.7 Flash none | Z.ai | 1 | 5.4 | 1/2 | 4.82s |
| #39 | gpt-oss-120b medium | OpenAI | 1 | 5.5 | 1/2 | 1.98s |
| #48 | Qwen3 Coder Next none | Qwen | 1 | 5.4 | 1/2 | 1.32s |
| #36 | Mercury 2 medium | Inception | 1 | 5.5 | 1/2 | 1.11s |
| #55 | LFM2-24B-A2B none | Liquid | 2 | 10.0 | 0/2 | 714ms |
| #51 | Mercury 2 none | Inception | 1 | 5.5 | 1/2 | 667ms |