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: Total Cost ↓.
Failure Reasons
80/80
Filter models
No models match the current search and filters.
| Rank | Model | Company | Wrong answer Count | Category Score | Total Cost | Tests Correct | Response Time (avg) |
|---|---|---|---|---|---|---|---|
| #299 | Ling 3.0 Flash high | Inclusionai | 1 | 0.7 | $0.021 | 1/2 | 7.15s |
| #345 | Mercury 2.5 low | Inception | 1 | 0.6 | $0.020 | 1/2 | 1.06s |
| #350 | Mercury 2.5 Preview low | Inception | 1 | 0.6 | $0.015 | 1/2 | 1.12s |
| #440 | Clef Omni default | Cloudflare | 1 | 0.7 | $0.011 | 1/2 | 1.06s |
| #324 | Qwen3.8 27B none | Qwen | 1 | 0.6 | ~$0.010 | 1/2 | 1.14s |
| #448 | Solar Decide default | Upstage | 2 | 0.4 | $0.009 | 0/2 | 5.00s |
| #439 | Classify-1 default | Scaledown | 1 | 0.7 | $0.008 | 1/2 | 4.10s |
| #405 | Granite 4.1 8b default | IBM Granite | 2 | 0.3 | $0.007 | 0/2 | 575ms |
| #438 | Jev 1.14 default | Typesafe | 1 | 0.7 | $0.003 | 1/2 | 335ms |
| #430 | d1-ultra default | Liquid | 1 | 0.7 | $0.003 | 1/2 | 587ms |
| #443 | D1 default | Liquid | 1 | 0.6 | $0.003 | 1/2 | 418ms |
| #437 | Kev 4B default | Jaredpalmer | 1 | 0.7 | $0.002 | 1/2 | 9.09s |
| #447 | Microsoft-Decision-1 default | Microsoft | 2 | 0.3 | $0.002 | 0/2 | 1.16s |
| #435 | Drex v1.5 default | Nace AI | 1 | 0.6 | $0.002 | 1/2 | 1.10s |
| #382 | Ling 2.6 Flash default | Inclusionai | 1 | 0.6 | $0.002 | 1/2 | 8.48s |