AI BENCHY श्रेणी
डेटा पार्सिंग और निष्कर्षण रैंकिंग
देखें कि डेटा पार्सिंग और निष्कर्षण में कौन से AI मॉडल सबसे अच्छा प्रदर्शन करते हैं, कौन से भरोसेमंद बने रहते हैं और सबसे बड़े अंतर कहाँ दिखाई देते हैं। क्रमबद्ध करें: प्रतिक्रिया समय (औसत) ↓.
संबंधित विफलता कारण
| रैंक | मॉडल | कंपनी | डेटा पार्सिंग और निष्कर्षण स्कोर | औसत स्कोर | सही परीक्षण | प्रतिक्रिया समय (औसत) |
|---|---|---|---|---|---|---|
| #50 | Qwen3 Coder Next medium | Qwen | 5.4 | 3.5 | 1/2 | 81.8s |
| #35 | Qwen3.5-35B-A3B medium | Qwen | 5.5 | 5.5 | 1/2 | 59.3s |
| #24 | Qwen3.5-Flash medium | Qwen | 5.5 | 6.9 | 1/2 | 57.0s |
| #28 | Kimi K2.5 medium | Moonshot AI | 9.9 | 6.4 | 2/2 | 49.8s |
| #4 | Qwen3.5 Plus 2026-02-15 medium | Qwen | 9.9 | 8.3 | 2/2 | 46.9s |
| #46 | Kimi K2.5 none | Moonshot AI | 5.4 | 4.1 | 1/2 | 42.1s |
| #18 | DeepSeek V3.2 medium | DeepSeek | 9.9 | 7.3 | 2/2 | 36.1s |
| #7 | Qwen3.5-27B medium | Qwen | 9.9 | 8.2 | 2/2 | 30.3s |
| #23 | Seed-2.0-Mini medium | Bytedance Seed | 9.9 | 6.9 | 2/2 | 24.3s |
| #10 | Qwen3.5-122B-A10B medium | Qwen | 9.9 | 7.7 | 2/2 | 23.4s |
| #34 | GPT-5 Nano medium | OpenAI | 10.0 | 5.5 | 0/2 | 21.4s |
| #54 | MiMo-V2-Flash none | Xiaomi | 10.0 | 2.9 | 0/2 | 19.7s |
| #13 | Step 3.5 Flash medium | Stepfun | 10.0 | 7.4 | 2/2 | 15.0s |
| #11 | Claude Sonnet 4.6 medium | Anthropic | 9.9 | 7.7 | 2/2 | 13.9s |
| #32 | GPT-5 Mini medium | OpenAI | 9.9 | 6.0 | 2/2 | 12.6s |
| #6 | Gemini 3 Pro Preview medium | 9.9 | 8.2 | 2/2 | 10.8s | |
| #33 | DeepSeek V3.2 none | DeepSeek | 5.4 | 5.5 | 1/2 | 9.42s |
| #5 | Gemini 3 Flash Preview low | 9.9 | 8.2 | 2/2 | 9.40s | |
| #14 | GLM 5 medium | Z.ai | 5.0 | 7.4 | 1/2 | 8.90s |
| #2 | Gemini 3.1 Pro Preview medium | 9.9 | 9.4 | 2/2 | 7.72s | |
| #43 | MiniMax M2.5 medium | Minimax | 10.0 | 4.7 | 0/2 | 7.48s |
| #26 | Claude Opus 4.6 medium | Anthropic | 9.9 | 6.6 | 2/2 | 7.37s |
| #8 | Gemini 3.1 Flash Lite Preview high | 9.9 | 8.2 | 2/2 | 7.16s | |
| #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 |
| #9 | GPT-5.4 medium | OpenAI | 9.9 | 8.0 | 2/2 | 5.32s |
| #49 | GLM 4.7 Flash none | Z.ai | 5.4 | 3.9 | 1/2 | 4.82s |
| #1 | Gemini 3 Flash Preview medium | 9.9 | 10.0 | 2/2 | 4.72s | |
| #16 | Gemini 2.5 Flash medium | 9.9 | 7.4 | 2/2 | 4.06s | |
| #25 | Claude Sonnet 4.6 none | Anthropic | 9.9 | 6.8 | 2/2 | 3.43s |
| #45 | Trinity Large Preview none | Arcee AI | 9.9 | 4.2 | 2/2 | 3.26s |
| #27 | GPT-5.2 medium | OpenAI | 9.9 | 6.5 | 2/2 | 3.15s |
| #3 | GPT-5.3-Codex medium | OpenAI | 9.9 | 8.4 | 2/2 | 3.07s |
| #15 | GPT-5.2 Chat none | OpenAI | 9.9 | 7.4 | 2/2 | 3.05s |
| #17 | Gemini 3.1 Flash Lite Preview low | 9.9 | 7.3 | 2/2 | 3.00s | |
| #12 | Gemini 3.1 Flash Lite Preview medium | 9.9 | 7.5 | 2/2 | 2.29s | |
| #19 | GPT-5.3 Chat none | OpenAI | 9.9 | 7.3 | 2/2 | 2.21s |
| #39 | gpt-oss-120b medium | OpenAI | 5.5 | 5.1 | 1/2 | 1.98s |
| #29 | Qwen3.5 Plus 2026-02-15 none | Qwen | 9.9 | 6.2 | 2/2 | 1.89s |
| #37 | Qwen3.5-Flash none | Qwen | 9.9 | 5.2 | 2/2 | 1.57s |
| #52 | GLM 4.7 Flash medium | Z.ai | 5.0 | 3.1 | 1/2 | 1.51s |
| #41 | Qwen3.5-27B none | Qwen | 9.9 | 4.9 | 2/2 | 1.43s |
| #20 | Gemini 3 Flash Preview none | 9.9 | 7.2 | 2/2 | 1.41s | |
| #48 | Qwen3 Coder Next none | Qwen | 5.4 | 4.0 | 1/2 | 1.32s |
| #47 | GPT-4o-mini none | OpenAI | 9.9 | 4.0 | 2/2 | 1.27s |
| #22 | Gemini 3.1 Flash Lite Preview none | 9.9 | 7.1 | 2/2 | 1.22s | |
| #42 | Qwen3.5-35B-A3B none | Qwen | 9.9 | 4.7 | 2/2 | 1.16s |
| #36 | Mercury 2 medium | Inception | 5.5 | 5.3 | 1/2 | 1.11s |
| #44 | GPT-5.4 none | OpenAI | 9.9 | 4.5 | 2/2 | 1.04s |
| #40 | Qwen3.5-122B-A10B none | Qwen | 9.9 | 5.0 | 2/2 | 1.01s |
| #53 | Grok 4.1 Fast none | X AI | 9.9 | 2.9 | 2/2 | 943ms |
| #55 | LFM2-24B-A2B none | Liquid | 10.0 | 2.6 | 0/2 | 714ms |
| #51 | Mercury 2 none | Inception | 5.5 | 3.4 | 1/2 | 667ms |
| #38 | Gemini 2.5 Flash none | 9.9 | 5.2 | 2/2 | 652ms | |
| #21 | MiMo-V2-Flash medium | Xiaomi | 5.5 | 7.2 | 1/2 | 0ms |