Minimax VL 01
Minimax builds the Minimax VL 01, a chat model that excels at multimodal tasks, particularly visual question answering, as evidenced by its top performance on the ChartQA and DocVQA benchmarks. The model's architecture combines a Vision Transformer for visual encoding, a two-layer MLP projector for image adaptation, and a large language model, with a notable dynamic resolution feature that resizes input images to various resolutions for more accurate representation.
Input
Output
Context
8K
Max Output
-
Parameters
456.4B
Technical Specifications
Input Modalities
Output Modalities
Capabilities
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Resources & Links
Estimated GPU requirements for Minimax VL 01
Estimates based on INT8 quantization at up to 32K context. A count above one assumes tensor parallelism across the cards. Actual requirements vary by framework and configuration.
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Frequently asked questions about Minimax VL 01
Answered from the entry's own fields: context, license, modalities, evidence, serving and the memory to self-host.
Minimax VL 01 advertises a context window of 8,192 tokens. The figure is the creator's published maximum; a given host may serve less, and the gateway routes on what each host actually serves.
No. Minimax VL 01 is a proprietary model (license: Proprietary): its weights are not distributed, and it runs only through Minimax's own API or a host with access to it.
Minimax VL 01 accepts Text and Image and produces Text. The capabilities card on this page lists which API features each deployment honours, such as function calling and structured output, with the source each was checked against.
No published benchmark result for Minimax VL 01 is in the catalog yet, so the model is shown as unmeasured. It is not ranked or estimated; the router treats it as unknown for every task until a suite measures it.
Not on the managed pool today; Minimax VL 01 is listed for reference and comparison. Connect your own provider key or endpoint that serves it and the gateway runs it on your account, with routing decisions recorded the same way.
Minimax VL 01 cannot be self-hosted: its weights are not distributed. It is used through an API, either Minimax's own or the Inferbase gateway where it is served.
Fields collected from public registries, host APIs and benchmark publishers, each tagged with its source.
Last updated: Aug 28, 2026
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