Orodha ya Uchanganuzi na uchimbaji wa data
Ona ni modeli gani za AI zinafanya vizuri zaidi katika Uchanganuzi na uchimbaji wa data, zipi zinabaki thabiti, na pengo kubwa liko wapi. Panga kwa: Muda wa majibu (wastani) ↑.
Modeli zilizoonyeshwa
15
Wastani wa Alama ya Uchanganuzi na uchimbaji wa data
0.9
Modeli bora
MiMo-V2-Flash 0.7
451/451
Chuja miundo
Hakuna miundo inayolingana na utafutaji na vichujio vya sasa.
| Nafasi | Modeli | Kampuni | Alama ya Uchanganuzi na uchimbaji wa data | Alama | Jumla ya gharama | Majaribio sahihi | Muda wa majibu (wastani) |
|---|---|---|---|---|---|---|---|
| #342 | MiMo-V2-Flash medium | Xiaomi | 0.7 | 0.5 | $0.043 | 1/2 | 0ms |
| #442 | Step 3.5 Flash none | Stepfun | 0.2 | 0.2 | $0.020 | 0/1 | 0ms |
| #444 | Gemini 3 Flash Preview high | 0.0 | 0.2 | $0.105 | 0/0 | 0ms | |
| #451 | Claude Opus 5.5 none | Anthropic | 0.0 | 0.2 | $0.015 | 0/0 | 0ms |
| #434 | Decider V1.1 27B default | Perplexity | 0.6 | 0.3 | $0.002 | 1/2 | 286ms |
| #438 | Jev 1.14 default | Typesafe | 0.7 | 0.2 | $0.003 | 1/2 | 335ms |
| #436 | GPT-6 Luna Decisions default | OpenAI | 1.0 | 0.2 | $0.005 | 2/2 | 411ms |
| #443 | D1 default | Liquid | 0.6 | 0.2 | $0.003 | 1/2 | 418ms |
| #441 | Decider Flash V1.2 default | Perplexity | 0.7 | 0.2 | $0.001 | 1/2 | 422ms |
| #433 | Decider V1.2 default | Perplexity | 0.6 | 0.3 | $0.001 | 1/2 | 482ms |
| #449 | Tev1 4B Experimental default | Togethercomputer | 0.3 | 1.0 | $0.002 | 0/2 | 509ms |
| #416 | Grok 4.20 none | X AI | 1.0 | 0.3 | $0.057 | 2/2 | 522ms |
| #370 | Laguna S 2.1 none | Poolside | 1.0 | 0.5 | $0.044 | 2/2 | 537ms |
| #296 | DeepSeek V4.1 Flash 1017 none | DeepSeek | 1.0 | 0.6 | $0.055 | 2/2 | 544ms |
| #405 | Granite 4.1 8b default | IBM Granite | 0.3 | 0.4 | $0.007 | 0/2 | 575ms |