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) |
|---|---|---|---|---|---|---|---|
| #200 | Claude Opus 4.8 none | Anthropic | 1 | 0.7 | $2.334 | 1/2 | 1.77s |
| #223 | Mercury 2 medium | Inception | 1 | 0.7 | $0.121 | 1/2 | 1.11s |
| #248 | MiMo-V2.5-Pro medium | Xiaomi | 1 | 0.7 | $0.332 | 1/2 | 18.8s |
| #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 |
| #253 | Qwen3.6 27B none | Qwen | 1 | 0.7 | $0.148 | 1/2 | 2.06s |
| #264 | Trinity Large Thinking low | Arcee AI | 1 | 0.7 | $0.918 | 1/2 | 14.3s |
| #268 | KAT-Coder-Pro V2.5 medium | Kwaipilot | 1 | 0.7 | $0.669 | 1/2 | 4.70s |
| #275 | Trinity Large Thinking medium | Arcee AI | 1 | 0.6 | $0.862 | 1/2 | 16.4s |
| #280 | Granite 4.2 8B medium | IBM Granite | 1 | 0.7 | $0.029 | 1/2 | 1.43s |
| #289 | gpt-oss-120b medium | OpenAI | 1 | 0.6 | $0.030 | 1/2 | 1.98s |
| #299 | Ling 3.0 Flash high | Inclusionai | 1 | 0.7 | $0.021 | 1/2 | 7.15s |
| #300 | Ring 2.6 1t medium | Inclusionai | 1 | 0.6 | $0.102 | 1/2 | 37.4s |
| #301 | Trinity Large Thinking high | Arcee AI | 1 | 0.6 | $0.794 | 1/2 | 14.0s |
| #305 | Seed 2.1 Turbo none | Bytedance Seed | 1 | 0.7 | $0.182 | 1/2 | 2.63s |