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
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| Rank | Model | Company | Wrong answer Count | Category Score | Total Cost | Tests Correct | Response Time (avg) |
|---|---|---|---|---|---|---|---|
| #441 | Decider Flash V1.2 default | Perplexity | 1 | 0.7 | $0.001 | 1/2 | 422ms |
| #428 | Span-02 default | Respan | 1 | 0.7 | $0.001 | 1/2 | 710ms |
| #433 | Decider V1.2 default | Perplexity | 1 | 0.6 | $0.001 | 1/2 | 482ms |
| #449 | Tev1 4B Experimental default | Togethercomputer | 2 | 0.3 | $0.002 | 0/2 | 509ms |
| #434 | Decider V1.1 27B default | Perplexity | 1 | 0.6 | $0.002 | 1/2 | 286ms |
| #382 | Ling 2.6 Flash default | Inclusionai | 1 | 0.6 | $0.002 | 1/2 | 8.48s |
| #435 | Drex v1.5 default | Nace AI | 1 | 0.6 | $0.002 | 1/2 | 1.10s |
| #447 | Microsoft-Decision-1 default | Microsoft | 2 | 0.3 | $0.002 | 0/2 | 1.16s |
| #437 | Kev 4B default | Jaredpalmer | 1 | 0.7 | $0.002 | 1/2 | 9.09s |
| #443 | D1 default | Liquid | 1 | 0.6 | $0.003 | 1/2 | 418ms |
| #430 | d1-ultra default | Liquid | 1 | 0.7 | $0.003 | 1/2 | 587ms |
| #438 | Jev 1.14 default | Typesafe | 1 | 0.7 | $0.003 | 1/2 | 335ms |
| #405 | Granite 4.1 8b default | IBM Granite | 2 | 0.3 | $0.007 | 0/2 | 575ms |
| #439 | Classify-1 default | Scaledown | 1 | 0.7 | $0.008 | 1/2 | 4.10s |
| #448 | Solar Decide default | Upstage | 2 | 0.4 | $0.009 | 0/2 | 5.00s |