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Data parsing and extraction Ranking

See which AI models perform best on Data parsing and extraction, which ones stay reliable, and where the biggest gaps appear.

Models Shown

15

Average Data parsing and extraction Score

9.0

Rank Model Company Data parsing and extraction Score Score Tests Correct Response Time (avg)
#70 Qwen3.5-122B-A10B none Qwen 10.0 5.7 2/2 1.01s
#72 Hunter Alpha none OpenRouter 10.0 5.7 2/2 8.49s
#75 GLM 5.1 none Z.ai 10.0 5.6 2/2 1.08s
#77 GLM 5 Turbo none Z.ai 10.0 5.5 2/2 2.47s
#78 Trinity Large Preview none Arcee AI 10.0 5.3 2/2 3.26s
#79 Grok 4.20 Beta none X AI 10.0 5.3 2/2 601ms
#82 Grok 4.20 none X AI 10.0 5.2 2/2 522ms
#83 Mistral Small 4 none Mistral 10.0 5.2 2/2 822ms
#86 GPT-5.4 Mini none OpenAI 10.0 5.1 2/2 1.30s
#88 Nemotron 3 Super none NVIDIA 10.0 5.1 2/2 7.92s
#89 GPT-4o-mini none OpenAI 10.0 4.9 2/2 1.27s
#90 Qwen3.5-9B none Qwen 10.0 4.8 2/2 847ms
#95 Grok 4.1 Fast none X AI 10.0 4.5 2/2 943ms
#32 Qwen3.5-Flash medium Qwen 7.3 7.8 1/2 57.0s
#43 Qwen3.5-35B-A3B medium Qwen 7.3 7.4 1/2 59.3s

Top Models by Data parsing and extraction Score

Data parsing and extraction Score vs Total Cost

Top Models by Response Time (avg)