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 ↓.
Models Shown
15
Average Data parsing and extraction Score
8.8
Best Model
Grok 4.20 Multi Agent Beta 10.0
311/311
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| Rank | Model | Company | Data parsing and extraction Score | Score | Total Cost | Tests Correct | Response Time (avg) |
|---|---|---|---|---|---|---|---|
| #84 | DeepSeek V4 Flash 0423 high | DeepSeek | 10.0 | 7.6 | $0.039 | 2/2 | 28.0s |
| #233 | DeepSeek V4 Flash 0423 none | DeepSeek | 10.0 | 5.4 | $0.037 | 2/2 | 23.8s |
| #283 | Qwen3 Coder Next medium | Qwen | 6.5 | 4.6 | $0.034 | 1/2 | 81.8s |
| #279 | Laguna M.1 medium | Poolside | 10.0 | 4.7 | $0.033 | 2/2 | 4.93s |
| #281 | Mercury 2 none | Inception | 7.3 | 4.7 | $0.030 | 1/2 | 667ms |
| #163 | Mercury 2.5 Preview high | Inception | 10.0 | 6.6 | $0.030 | 2/2 | 2.24s |
| #236 | GPT-5.6 Luna none | OpenAI | 10.0 | 5.4 | $0.029 | 2/2 | 758ms |
| #111 | GLM 5.3 Flash high | Z.ai | 7.3 | 7.3 | $0.029 | 1/2 | 2.73s |
| #213 | GLM 5 none | Z.ai | 10.0 | 5.7 | $0.027 | 2/2 | 5.78s |
| #269 | Ring-2.6-1T none | Inclusionai | 3.0 | 4.8 | $0.026 | 0/2 | 45.9s |
| #254 | Qwen3 Coder Next none | Qwen | 6.5 | 5.1 | $0.026 | 1/2 | 1.32s |
| #291 | Granite 4.2 8B none | IBM Granite | 2.9 | 4.3 | $0.026 | 0/2 | 1.05s |
| #255 | MiMo-V2.5 none | Xiaomi | 6.5 | 5.1 | $0.025 | 1/2 | 1.01s |
| #296 | MiMo-V2-Flash none | Xiaomi | 2.9 | 4.0 | $0.025 | 0/2 | 19.7s |
| #96 | Mercury 2.5 Preview medium | Inception | 10.0 | 7.5 | $0.024 | 2/2 | 2.77s |