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. Sort by: Metric ↑.
330/330
Filter models
No models match the current search and filters.
| Rank | Model | Company | Data parsing and extraction Score | Score | Total Cost | Tests Correct | Response Time (avg) |
|---|---|---|---|---|---|---|---|
| #214 | GPT-5 Nano medium | OpenAI | 3.7 | 6.0 | $0.118 | 0/2 | 21.4s |
| #266 | Nemotron 3.5 Lightning medium | NVIDIA | 3.7 | 5.1 | $0.156 | 0/2 | 23.2s |
| #299 | Granite 4.2 8B high | IBM Granite | 3.8 | 4.6 | $0.135 | 0/2 | 56.5s |
| #317 | Grok Build 0.1 none | X AI | 3.8 | 4.0 | $0.547 | 0/2 | 9.33s |
| #327 | Nemotron 3 Nano Omni 30b A3b Reasoning none | NVIDIA | 3.8 | 3.2 | $0.000 | 0/2 | 1.42s |
| #218 | Dots 3 Note Preview medium | Dots Studio | 4.5 | 5.9 | $0.000 | 0/2 | 78.5s |
| #301 | MiniMax M2.5 medium | Minimax | 4.6 | 4.6 | $0.327 | 0/2 | 7.48s |
| #117 | LongCat 2.0 medium | Meituan | 6.3 | 7.4 | $0.499 | 1/2 | 10.6s |
| #167 | LongCat 2.0 low | Meituan | 6.3 | 6.7 | $0.412 | 1/2 | 10.8s |
| #306 | GLM 4.7 Flash medium | Z.ai | 6.3 | 4.3 | $0.168 | 1/2 | 1.51s |
| #314 | Ling 3.0 Tiny none | Inclusionai | 6.3 | 4.0 | $0.000 | 1/2 | 1.14s |
| #91 | Claude Opus 4.8 low | Anthropic | 6.3 | 7.8 | $2.089 | 1/2 | 2.27s |
| #204 | Trinity Large Thinking medium | Arcee AI | 6.3 | 6.1 | $0.756 | 1/2 | 16.4s |
| #276 | MiniMax M2.7 medium | Minimax | 6.3 | 5.0 | $0.208 | 1/2 | 21.9s |
| #277 | Mercury 2.5 Preview low | Inception | 6.3 | 5.0 | $0.011 | 1/2 | 1.12s |