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Open weightsDeepSeek/10 trustVerified
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DeepSeek-VL2-Small

2.8B-activated-parameter mixture-of-experts vision-language model.

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About

DeepSeek-VL2-Small is the mid-size variant of DeepSeek's VL2 family of mixture-of-experts vision-language models, with 2.8 billion activated parameters. It upgrades the original DeepSeek-VL with stronger visual understanding across visual question answering, OCR, document, table and chart understanding, and visual grounding.\n\nAs a sparse MoE model it reaches competitive or state-of-the-art results against dense and MoE open models while activating far fewer parameters, making it attractive for deployments that need multimodal capability on a budget. The family was open-sourced in December 2024 with weights on Hugging Face and eval code via VLMEvalKit support.\n\nIt ships under DeepSeek's model license, which permits broad research and commercial use within its terms — check the license before production deployment.

Specs

Context window

Pricing

Free quota

API access

Weights

Open weights

Released

December 13, 2024

Benchmarks

Provider-reported unless a source says otherwise. Benchmarks are marketing-adjacent by nature — treat them as directional.

Use cases

vision-languagemultimodalocrdocument-understanding

Trust score — 8/10

/10 trustVerified

Scored 8/10 (verified tier, metrics-v1). Evidence: Verified via vendor site/docs/GitHub and reputable coverage, wave 121; Trending score 80/100 from researcher assessment.

More in the deepseek-vl2 family

Sources