AI BENCHY زمرہ
ڈیٹا پارسنگ اور استخراج درجہ بندی
دیکھیں کہ ڈیٹا پارسنگ اور استخراج میں کون سے AI ماڈلز بہترین کارکردگی دکھاتے ہیں، کون سے قابلِ اعتماد رہتے ہیں، اور سب سے بڑے فرق کہاں نظر آتے ہیں۔
متعلقہ ناکامی کی وجوہات
| درجہ | ماڈل | کمپنی | ڈیٹا پارسنگ اور استخراج اسکور | اوسط اسکور | درست ٹیسٹس | ردِعمل کا وقت (اوسط) |
|---|---|---|---|---|---|---|
| #13 | Step 3.5 Flash medium | Stepfun | 10.0 | 7.4 | 2/2 | 15.0s |
| #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 |
| #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 | |
| #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 |
| #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 |
| #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 |
| #51 | Mercury 2 none | Inception | 5.5 | 3.4 | 1/2 | 667ms |
| #33 | DeepSeek V3.2 none | DeepSeek | 5.4 | 5.5 | 1/2 | 9.42s |
| #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 |
| #14 | GLM 5 medium | Z.ai | 5.0 | 7.4 | 1/2 | 8.90s |
| #52 | GLM 4.7 Flash medium | Z.ai | 5.0 | 3.1 | 1/2 | 1.51s |