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: Response Time (avg) ↑.
Failure Reasons
80/80
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| Rank | Model | Company | Wrong answer Count | Category Score | Total Cost | Tests Correct | Response Time (avg) |
|---|---|---|---|---|---|---|---|
| #389 | Granite 4.2 8B none | IBM Granite | 2 | 0.3 | $0.037 | 0/2 | 1.05s |
| #440 | Clef Omni default | Cloudflare | 1 | 0.7 | $0.011 | 1/2 | 1.06s |
| #345 | Mercury 2.5 low | Inception | 1 | 0.6 | $0.020 | 1/2 | 1.06s |
| #435 | Drex v1.5 default | Nace AI | 1 | 0.6 | $0.002 | 1/2 | 1.10s |
| #223 | Mercury 2 medium | Inception | 1 | 0.7 | $0.121 | 1/2 | 1.11s |
| #374 | GPT-5.4 Nano none | OpenAI | 1 | 0.6 | $0.068 | 1/2 | 1.11s |
| #350 | Mercury 2.5 Preview low | Inception | 1 | 0.6 | $0.015 | 1/2 | 1.12s |
| #324 | Qwen3.8 27B none | Qwen | 1 | 0.6 | ~$0.010 | 1/2 | 1.14s |
| #447 | Microsoft-Decision-1 default | Microsoft | 2 | 0.3 | $0.002 | 0/2 | 1.16s |
| #357 | Qwen3 Coder Next default | Qwen | 1 | 0.6 | $0.067 | 1/2 | 1.32s |
| #332 | Granite 4.2 8B low | IBM Granite | 1 | 0.7 | $0.036 | 1/2 | 1.39s |
| #431 | Nemotron 3 Nano Omni 30b A3b Reasoning default | NVIDIA | 2 | 0.4 | $0.000 | 0/2 | 1.42s |
| #280 | Granite 4.2 8B medium | IBM Granite | 1 | 0.7 | $0.029 | 1/2 | 1.43s |
| #200 | Claude Opus 4.8 none | Anthropic | 1 | 0.7 | $2.334 | 1/2 | 1.77s |
| #289 | gpt-oss-120b medium | OpenAI | 1 | 0.6 | $0.030 | 1/2 | 1.98s |