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DeepSeek OCR vs DeepSeek OCR 2
Postavite dva do štiri modele enega ob drugega glede na polja, ki odločajo o uvedbi: kontekst, cena, regija, licenca, jeziki, gostovanje in kaj je preverjeno.
| DeepSeek OCR | DeepSeek OCR 2 | |
|---|---|---|
| Ponudnik | DeepSeek | DeepSeek |
| Parametri | 3.3B | 3.4B |
| Kontekstno okno | Ni preverjeno: ponudnik te trditve ni dokumentiral. | Ni preverjeno: ponudnik te trditve ni dokumentiral. |
| Licenca | mit | apache-2.0 |
| Modalnosti | text, vision | text, vision |
| Datum izdaje | 17. okt. 2025 | 27. jan. 2026 |
| Jeziki | Močno: — Zadostno: ocr | Močno: — Zadostno: ocr |
| Odprte uteži | da | da |
| Naloge | Vid, Pridobivanje (RAG), Nizki stroški | Vid, Pridobivanje (RAG) |
Kjer se dva modela razlikujeta, ta tabela pokaže razliko in se ustavi. LLM EU ne objavi značke zmagovalca brez dokumentirane ocene za to nalogo, manjkajoča številka pa ostane manjkajoča, namesto da bi postala nič.
Kdaj ga uporabiti
DeepSeek OCR
Prednosti
- open weights are published on Hugging Face and can be downloaded without a vendor agreement
- mit licence, so commercial self-hosting is permitted without a separate agreement
- at 3.3B parameters it fits on a single accelerator
Omejitve
- catalogue only — LLM EU does not run this model, and nothing on this card implies an LLM EU endpoint
- no evaluation has been run by LLM EU
- the published configuration records no context window, so the card carries none
- at 3.3B parameters, the weights fit on a single modest accelerator
- vision checkpoints are heavier to serve than their parameter count alone suggests, because the image encoder and pre-processing run alongside the language model
Naloge
DeepSeek OCR 2
Prednosti
- open weights are published on Hugging Face and can be downloaded without a vendor agreement
- Apache-2.0 licence, so commercial self-hosting is permitted without a separate agreement
- at 3.4B parameters it fits on a single accelerator
Omejitve
- catalogue only — LLM EU does not run this model, and nothing on this card implies an LLM EU endpoint
- no evaluation has been run by LLM EU
- the published configuration records no context window, so the card carries none
- at 3.4B parameters, the weights fit on a single modest accelerator
- vision checkpoints are heavier to serve than their parameter count alone suggests, because the image encoder and pre-processing run alongside the language model
Naloge
Naloge: Vid, Pridobivanje (RAG)