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: Tests Correct ↑.
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| Rank | Model | Company | Data parsing and extraction Score | Score | Total Cost | Tests Correct | Response Time (avg) |
|---|---|---|---|---|---|---|---|
| #289 | Granite 4.2 8B medium | IBM Granite | 6.5 | 5.2 | $0.008 | 1/2 | 1.43s |
| #292 | Mistral Small 4 medium | Mistral | 7.3 | 5.1 | $0.097 | 1/2 | 1.23s |
| #293 | Granite 4.2 8B low | IBM Granite | 6.5 | 5.1 | $0.012 | 1/2 | 1.39s |
| #294 | Qwen3 Coder Next none | Qwen | 6.5 | 5.1 | $0.026 | 1/2 | 1.32s |
| #295 | Mercury 2.5 low | Inception | 6.5 | 5.1 | $0.011 | 1/2 | 1.06s |
| #296 | MiMo-V2.5 none | Xiaomi | 6.5 | 5.1 | $0.025 | 1/2 | 1.01s |
| #300 | MiniMax M2.7 medium | Minimax | 6.3 | 5.0 | $0.208 | 1/2 | 21.9s |
| #301 | Mercury 2.5 Preview low | Inception | 6.3 | 5.0 | $0.011 | 1/2 | 1.12s |
| #303 | DeepSeek V3.2 none | DeepSeek | 6.3 | 5.0 | $0.054 | 1/2 | 9.42s |
| #306 | Mercury 2.5 Preview none | Inception | 6.3 | 4.9 | $0.018 | 1/2 | 1.04s |
| #307 | Ling-2.6-flash none | Inclusionai | 6.5 | 4.9 | $0.002 | 1/2 | 8.48s |
| #309 | Hy4 preview none | Tencent | 8.7 | 4.8 | $0.041 | 1/2 | 22.8s |
| #312 | GPT-5.4 Nano none | OpenAI | 6.5 | 4.8 | $0.041 | 1/2 | 1.11s |
| #313 | Trinity Large Thinking high | Arcee AI | 6.3 | 4.8 | $0.592 | 1/2 | 14.0s |
| #315 | KAT-Coder-Air V2.5 none | Kwaipilot | 6.3 | 4.8 | $0.070 | 1/2 | 2.66s |