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Open weightsOpenGVLab/10 trustVerified

InternVL3-9B

9B multimodal model pairing InternLM 3 with InternViT, from the April 2025 InternVL3 family.

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About

InternVL3-9B is one of seven sizes in OpenGVLab's InternVL3 series, introduced with the April 2025 technical report (arXiv 2504.10479). It pairs the InternViT-300M-448px vision encoder with InternLM 3 as its language backbone under the ViT-MLP-LLM paradigm, while its siblings use Qwen2.5 backbones.

InternVL3 introduced native multimodal pre-training, interleaving image-text and video-text data with large-scale text corpora in a single stage, plus variable visual position encoding for longer multimodal contexts. The 78B flagship set a new open-source state of the art on MMMU at 72.2 (vendor-reported); the 9B size serves as the series' mid-range balance of capability and deployability. Training data and weights were released publicly in line with the team's open-science commitments.

Specs

Context window

Pricing

Free quota

API access

Weights

Open weights

Released

April 1, 2025

Benchmarks

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

Use cases

visual-question-answeringdocument-understandingvideo-analysisgui-agents

Trust score — 8/10

/10 trustVerified

Scored 8/10 (verified tier, metrics-v1). Evidence: Verified via vendor site/docs/GitHub and reputable coverage, wave 114; Trending score 76/100 from researcher assessment.

More in the internvl3 family

Sources