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) |
|---|---|---|---|---|---|---|
| #51 | Mercury 2 none | Inception | 1 | 5.5 | 1/2 | 667ms |
| #55 | LFM2-24B-A2B none | Liquid | 2 | 10.0 | 0/2 | 714ms |
| #36 | Mercury 2 medium | Inception | 1 | 5.5 | 1/2 | 1.11s |
| #48 | Qwen3 Coder Next none | Qwen | 1 | 5.4 | 1/2 | 1.32s |
| #39 | gpt-oss-120b medium | OpenAI | 1 | 5.5 | 1/2 | 1.98s |
| #49 | GLM 4.7 Flash none | Z.ai | 1 | 5.4 | 1/2 | 4.82s |
| #43 | MiniMax M2.5 medium | Minimax | 2 | 10.0 | 0/2 | 7.48s |
| #33 | DeepSeek V3.2 none | DeepSeek | 1 | 5.4 | 1/2 | 9.42s |
| #34 | GPT-5 Nano medium | OpenAI | 2 | 10.0 | 0/2 | 21.4s |
| #46 | Kimi K2.5 none | Moonshot AI | 1 | 5.4 | 1/2 | 42.1s |
| #50 | Qwen3 Coder Next medium | Qwen | 1 | 5.4 | 1/2 | 81.8s |