AI BENCHY Category
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.
| Rank | Model | Company | Data parsing and extraction Score | Score | Tests Correct | Response Time (avg) |
|---|---|---|---|---|---|---|
| #54 | Mercury 2 medium | Inception | 7.3 | 6.5 | 1/2 | 1.11s |
| #73 | Mistral Small 4 medium | Mistral | 7.3 | 5.7 | 1/2 | 1.23s |
| #91 | Mercury 2 none | Inception | 7.3 | 4.8 | 1/2 | 667ms |
| #23 | MiMo-V2-Pro medium | Xiaomi | 7.3 | 8.1 | 1/2 | 17.2s |
| #74 | GLM 4.7 Flash none | Z.ai | 7.3 | 5.6 | 1/2 | 4.82s |
| #76 | Kimi K2.5 none | Moonshot AI | 7.3 | 5.5 | 1/2 | 42.1s |
| #13 | GLM 5 medium | Z.ai | 7.1 | 8.4 | 1/2 | 8.90s |
| #41 | MiMo-V2-Flash medium | Xiaomi | 6.5 | 7.5 | 1/2 | 0ms |
| #84 | gpt-oss-120b none | OpenAI | 6.5 | 5.2 | 1/2 | 7.12s |
| #81 | Elephant medium | Openrouter | 6.5 | 5.2 | 1/2 | 979ms |
| #85 | Elephant none | Openrouter | 6.5 | 5.2 | 1/2 | 1.04s |
| #87 | Qwen3 Coder Next none | Qwen | 6.5 | 5.1 | 1/2 | 1.32s |
| #92 | Qwen3 Coder Next medium | Qwen | 6.5 | 4.7 | 1/2 | 81.8s |
| #96 | GPT-5.4 Nano none | OpenAI | 6.5 | 4.5 | 1/2 | 1.11s |
| #68 | gpt-oss-120b medium | OpenAI | 6.4 | 5.8 | 1/2 | 1.98s |