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 ↑.
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| Rank | Model | Company | Data parsing and extraction Score | Score | Total Cost | Tests Correct | Response Time (avg) |
|---|---|---|---|---|---|---|---|
| #256 | Qwen3.5-9B none | Qwen | 10.0 | 5.1 | $0.021 | 2/2 | 847ms |
| #257 | GLM 5 Turbo none | Z.ai | 10.0 | 5.1 | $0.047 | 2/2 | 2.47s |
| #258 | North Mini Code none | Cohere | 10.0 | 5.1 | $0.000 | 2/2 | 28.0s |
| #261 | Laguna S 2.1 low | Poolside | 10.0 | 5.0 | $0.082 | 2/2 | 2.76s |
| #263 | GPT-4o-mini none | OpenAI | 10.0 | 5.0 | $0.010 | 2/2 | 1.27s |
| #264 | Qwen3.6 Plus Preview medium | Qwen | 10.0 | 4.9 | $0.000 | 2/2 | 14.9s |
| #267 | Nemotron 3 Super none | NVIDIA | 10.0 | 4.8 | $0.008 | 2/2 | 7.92s |
| #273 | Grok 4.20 Multi Agent Beta medium | X AI | 10.0 | 4.8 | $5.599 | 2/2 | 5.54s |
| #276 | Trinity Large Preview none | Arcee AI | 10.0 | 4.8 | $0.008 | 2/2 | 3.26s |
| #277 | Hunter Alpha medium | OpenRouter | 10.0 | 4.7 | $0.000 | 2/2 | 23.2s |
| #278 | Grok 4.1 Fast medium | X AI | 10.0 | 4.7 | $0.069 | 2/2 | 6.63s |
| #279 | Laguna M.1 medium | Poolside | 10.0 | 4.7 | $0.033 | 2/2 | 4.93s |
| #285 | Laguna S 2.1 none | Poolside | 10.0 | 4.5 | $0.022 | 2/2 | 537ms |
| #286 | Grok 4.20 Beta none | X AI | 10.0 | 4.4 | $0.087 | 2/2 | 601ms |
| #287 | Laguna M.1 none | Poolside | 10.0 | 4.4 | $0.009 | 2/2 | 3.37s |