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: Tests Correct ↑.
Failure Reasons
80/80
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| Rank | Model | Company | Wrong answer Count | Category Score | Total Cost | Tests Correct | Response Time (avg) |
|---|---|---|---|---|---|---|---|
| #421 | Xing4.0 29b A4b none | Xingchen AGI | 2 | 0.3 | $0.000 | 0/2 | 12.3s |
| #422 | Grok Build 0.1 none | X AI | 1 | 0.4 | $0.547 | 0/2 | 9.33s |
| #431 | Nemotron 3 Nano Omni 30b A3b Reasoning default | NVIDIA | 2 | 0.4 | $0.000 | 0/2 | 1.42s |
| #445 | LFM2-24B-A2B default | Liquid | 2 | 0.3 | $0.001 | 0/2 | 714ms |
| #447 | Microsoft-Decision-1 default | Microsoft | 2 | 0.3 | $0.002 | 0/2 | 1.16s |
| #448 | Solar Decide default | Upstage | 2 | 0.4 | $0.009 | 0/2 | 5.00s |
| #449 | Tev1 4B Experimental default | Togethercomputer | 2 | 0.3 | $0.002 | 0/2 | 509ms |
| #450 | Nimble v3 9B default | Bespoke Labs | 2 | 0.3 | ~$0.001 | 0/2 | 880ms |
| #96 | Claude Opus 4.8 medium | Anthropic | 1 | 0.7 | $3.490 | 1/2 | 12.3s |
| #136 | Muse Glimmer 30B high | Meta | 1 | 0.7 | $0.506 | 1/2 | 14.9s |
| #141 | Muse Glimmer 30B medium | Meta | 1 | 0.7 | $0.288 | 1/2 | 7.20s |
| #154 | Seed-2.0-Code medium | Bytedance Seed | 1 | 0.7 | $1.275 | 1/2 | 18.8s |
| #170 | Qwen3.8 27B medium | Qwen | 1 | 0.6 | ~$0.073 | 1/2 | 8.76s |
| #172 | Claude Opus 4.8 low | Anthropic | 1 | 0.6 | $3.787 | 1/2 | 2.27s |
| #176 | Step 3.7 Flash low | Stepfun | 1 | 0.7 | $0.449 | 1/2 | 2.29s |