Categorie AI BENCHY
Clasament Parsare și extragere de date
Vezi ce modele AI se descurcă cel mai bine la Parsare și extragere de date, care rămân fiabile și unde apar cele mai mari diferențe. Sortează după: Teste corecte ↑.
Modele afișate
55
Media pentru Scor Parsare și extragere de date
8.8
Cel mai bun model
GPT-5 Nano 10.0Motive de eșec asociate
| Rang | Model | Companie | Scor Parsare și extragere de date | Scor mediu | Teste corecte | Timp de răspuns (mediu) |
|---|---|---|---|---|---|---|
| #34 | GPT-5 Nano medium | OpenAI | 10.0 | 5.5 | 0/2 | 21.4s |
| #43 | MiniMax M2.5 medium | Minimax | 10.0 | 4.7 | 0/2 | 7.48s |
| #54 | MiMo-V2-Flash none | Xiaomi | 10.0 | 2.9 | 0/2 | 19.7s |
| #55 | LFM2-24B-A2B none | Liquid | 10.0 | 2.6 | 0/2 | 714ms |
| #14 | GLM 5 medium | Z.ai | 5.0 | 7.4 | 1/2 | 8.90s |
| #21 | MiMo-V2-Flash medium | Xiaomi | 5.5 | 7.2 | 1/2 | 0ms |
| #24 | Qwen3.5-Flash medium | Qwen | 5.5 | 6.9 | 1/2 | 57.0s |
| #33 | DeepSeek V3.2 none | DeepSeek | 5.4 | 5.5 | 1/2 | 9.42s |
| #35 | Qwen3.5-35B-A3B medium | Qwen | 5.5 | 5.5 | 1/2 | 59.3s |
| #36 | Mercury 2 medium | Inception | 5.5 | 5.3 | 1/2 | 1.11s |
| #39 | gpt-oss-120b medium | OpenAI | 5.5 | 5.1 | 1/2 | 1.98s |
| #46 | Kimi K2.5 none | Moonshot AI | 5.4 | 4.1 | 1/2 | 42.1s |
| #48 | Qwen3 Coder Next none | Qwen | 5.4 | 4.0 | 1/2 | 1.32s |
| #49 | GLM 4.7 Flash none | Z.ai | 5.4 | 3.9 | 1/2 | 4.82s |
| #50 | Qwen3 Coder Next medium | Qwen | 5.4 | 3.5 | 1/2 | 81.8s |
| #51 | Mercury 2 none | Inception | 5.5 | 3.4 | 1/2 | 667ms |
| #52 | GLM 4.7 Flash medium | Z.ai | 5.0 | 3.1 | 1/2 | 1.51s |
| #1 | Gemini 3 Flash Preview medium | 9.9 | 10.0 | 2/2 | 4.72s | |
| #2 | Gemini 3.1 Pro Preview medium | 9.9 | 9.4 | 2/2 | 7.72s | |
| #3 | GPT-5.3-Codex medium | OpenAI | 9.9 | 8.4 | 2/2 | 3.07s |
| #4 | Qwen3.5 Plus 2026-02-15 medium | Qwen | 9.9 | 8.3 | 2/2 | 46.9s |
| #5 | Gemini 3 Flash Preview low | 9.9 | 8.2 | 2/2 | 9.40s | |
| #6 | Gemini 3 Pro Preview medium | 9.9 | 8.2 | 2/2 | 10.8s | |
| #7 | Qwen3.5-27B medium | Qwen | 9.9 | 8.2 | 2/2 | 30.3s |
| #8 | Gemini 3.1 Flash Lite Preview high | 9.9 | 8.2 | 2/2 | 7.16s | |
| #9 | GPT-5.4 medium | OpenAI | 9.9 | 8.0 | 2/2 | 5.32s |
| #10 | Qwen3.5-122B-A10B medium | Qwen | 9.9 | 7.7 | 2/2 | 23.4s |
| #11 | Claude Sonnet 4.6 medium | Anthropic | 9.9 | 7.7 | 2/2 | 13.9s |
| #12 | Gemini 3.1 Flash Lite Preview medium | 9.9 | 7.5 | 2/2 | 2.29s | |
| #13 | Step 3.5 Flash medium | Stepfun | 10.0 | 7.4 | 2/2 | 15.0s |
| #15 | GPT-5.2 Chat none | OpenAI | 9.9 | 7.4 | 2/2 | 3.05s |
| #16 | Gemini 2.5 Flash medium | 9.9 | 7.4 | 2/2 | 4.06s | |
| #17 | Gemini 3.1 Flash Lite Preview low | 9.9 | 7.3 | 2/2 | 3.00s | |
| #18 | DeepSeek V3.2 medium | DeepSeek | 9.9 | 7.3 | 2/2 | 36.1s |
| #19 | GPT-5.3 Chat none | OpenAI | 9.9 | 7.3 | 2/2 | 2.21s |
| #20 | Gemini 3 Flash Preview none | 9.9 | 7.2 | 2/2 | 1.41s | |
| #22 | Gemini 3.1 Flash Lite Preview none | 9.9 | 7.1 | 2/2 | 1.22s | |
| #23 | Seed-2.0-Mini medium | Bytedance Seed | 9.9 | 6.9 | 2/2 | 24.3s |
| #25 | Claude Sonnet 4.6 none | Anthropic | 9.9 | 6.8 | 2/2 | 3.43s |
| #26 | Claude Opus 4.6 medium | Anthropic | 9.9 | 6.6 | 2/2 | 7.37s |
| #27 | GPT-5.2 medium | OpenAI | 9.9 | 6.5 | 2/2 | 3.15s |
| #28 | Kimi K2.5 medium | Moonshot AI | 9.9 | 6.4 | 2/2 | 49.8s |
| #29 | Qwen3.5 Plus 2026-02-15 none | Qwen | 9.9 | 6.2 | 2/2 | 1.89s |
| #30 | Grok 4.1 Fast medium | X AI | 9.9 | 6.2 | 2/2 | 6.63s |
| #31 | GLM 5 none | Z.ai | 9.9 | 6.0 | 2/2 | 5.78s |
| #32 | GPT-5 Mini medium | OpenAI | 9.9 | 6.0 | 2/2 | 12.6s |
| #37 | Qwen3.5-Flash none | Qwen | 9.9 | 5.2 | 2/2 | 1.57s |
| #38 | Gemini 2.5 Flash none | 9.9 | 5.2 | 2/2 | 652ms | |
| #40 | Qwen3.5-122B-A10B none | Qwen | 9.9 | 5.0 | 2/2 | 1.01s |
| #41 | Qwen3.5-27B none | Qwen | 9.9 | 4.9 | 2/2 | 1.43s |
| #42 | Qwen3.5-35B-A3B none | Qwen | 9.9 | 4.7 | 2/2 | 1.16s |
| #44 | GPT-5.4 none | OpenAI | 9.9 | 4.5 | 2/2 | 1.04s |
| #45 | Trinity Large Preview none | Arcee AI | 9.9 | 4.2 | 2/2 | 3.26s |
| #47 | GPT-4o-mini none | OpenAI | 9.9 | 4.0 | 2/2 | 1.27s |
| #53 | Grok 4.1 Fast none | X AI | 9.9 | 2.9 | 2/2 | 943ms |