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: Total Cost ↑.
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| Rank | Model | Company | Data parsing and extraction Score | Score | Total Cost | Tests Correct | Response Time (avg) |
|---|---|---|---|---|---|---|---|
| #366 | GLM 4.7 Flash none | Z.ai | 0.7 | 0.5 | $0.027 | 1/2 | 4.82s |
| #294 | Qwen3.7 Flash none | Qwen | 1.0 | 0.6 | $0.028 | 2/2 | 2.09s |
| #280 | Granite 4.2 8B medium | IBM Granite | 0.7 | 0.6 | $0.029 | 1/2 | 1.43s |
| #289 | gpt-oss-120b medium | OpenAI | 0.6 | 0.6 | $0.030 | 1/2 | 1.98s |
| #320 | Gemma 4 26B A4B none | 1.0 | 0.5 | $0.031 | 2/2 | 1.70s | |
| #307 | Gemma 4 31B none | 1.0 | 0.6 | $0.031 | 2/2 | 2.25s | |
| #144 | GPT-6 Luna low | OpenAI | 1.0 | 0.8 | $0.033 | 2/2 | 9.94s |
| #403 | Laguna M.1 medium | Poolside | 1.0 | 0.4 | $0.033 | 2/2 | 4.93s |
| #391 | Mercury 2 none | Inception | 0.7 | 0.4 | $0.033 | 1/2 | 667ms |
| #246 | Mercury 2.5 medium | Inception | 1.0 | 0.6 | $0.034 | 2/2 | 2.57s |
| #332 | Granite 4.2 8B low | IBM Granite | 0.7 | 0.5 | $0.036 | 1/2 | 1.39s |
| #389 | Granite 4.2 8B none | IBM Granite | 0.3 | 0.4 | $0.037 | 0/2 | 1.05s |
| #218 | GLM 5.3 Flash low | Z.ai | 0.6 | 0.7 | $0.038 | 1/2 | 2.39s |
| #204 | Mercury 2.5 Preview medium | Inception | 1.0 | 0.7 | $0.039 | 2/2 | 2.77s |
| #230 | Mercury 2.5 Preview high | Inception | 1.0 | 0.6 | $0.040 | 2/2 | 2.24s |