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) |
|---|---|---|---|---|---|---|---|
| #434 | Decider V1.1 27B default | Perplexity | 1 | 0.6 | $0.002 | 1/2 | 286ms |
| #449 | Tev1 4B Experimental default | Togethercomputer | 2 | 0.3 | $0.002 | 0/2 | 509ms |
| #433 | Decider V1.2 default | Perplexity | 1 | 0.6 | $0.001 | 1/2 | 482ms |
| #428 | Span-02 default | Respan | 1 | 0.7 | $0.001 | 1/2 | 710ms |
| #441 | Decider Flash V1.2 default | Perplexity | 1 | 0.7 | $0.001 | 1/2 | 422ms |
| #445 | LFM2-24B-A2B default | Liquid | 2 | 0.3 | $0.001 | 0/2 | 714ms |
| #450 | Nimble v3 9B default | Bespoke Labs | 2 | 0.3 | ~$0.001 | 0/2 | 880ms |
| #249 | Dots 3 Note Preview high | Dots Studio | 1 | 0.7 | $0.000 | 1/2 | 12.7s |
| #250 | Dots 3 Note Preview low | Dots Studio | 1 | 0.7 | $0.000 | 1/2 | 11.5s |
| #306 | Dots 3 Note Preview medium | Dots Studio | 1 | 0.4 | $0.000 | 0/2 | 78.5s |
| #390 | Cobuddy medium | Baidu | 1 | 0.6 | $0.000 | 1/2 | 17.4s |
| #407 | Xing4.0 29b A4b medium | Xingchen AGI | 2 | 0.3 | $0.000 | 0/2 | 147.5s |
| #408 | Ling 3.0 Tiny high | Inclusionai | 2 | 0.3 | $0.000 | 0/2 | 4.16s |
| #409 | Ling 3.0 Tiny low | Inclusionai | 1 | 0.3 | $0.000 | 0/2 | 4.82s |
| #410 | Ling 3.0 Tiny medium | Inclusionai | 1 | 0.3 | $0.000 | 0/2 | 4.41s |