Vision Small from Vispark: Fast, low-cost multimodal model for understanding text, images, audio, video, and PDFs, with tool calling and a 1M-token context window.
Recorded modality support shows what this model can accept and produce. An undocumented modality is shown as unknown rather than assumed to be unsupported.
Accepts
Produces
Fast, low-cost multimodal model for understanding text, images, audio, video, and PDFs, with tool calling and a 1M-token context window. The registry places it in the Vispark catalog with a release date of 2024-05-15. This profile describes its documented interface and how to evaluate it for the intended task.
The recorded inputs are text, image, audio, video and pdf, with text output. The registry lists a 1,000,000-token context window and up to 65,536 output tokens. It also declares reasoning, function calling and structured output. These are specifications, not a measured quality or speed ranking. A host can impose its own request limits and support a different subset of features.
Vision Small is recorded as a hosted model without downloadable weights. Confirm the current model ID and access conditions on the chosen API. A registry listing alone does not establish that an account or region has access.
No independently checked token rate is added from a hosting alias. Use the route’s current price and billing unit when comparing cost, including output, reasoning, cache behavior and retries where applicable.
Test photographs, screenshots and documents with the detail your application needs to read. Include small text, crowded layouts and questions whose answer is absent. Check whether the answer is supported by the image instead of accepting a plausible description.
A supporting source document was retrieved for this entry. Specifications above remain attributed to the models.dev record unless the publisher supplies a more specific limit. SyncDev has not independently benchmarked Vision Small.
Browse Vispark models, explore related tasks, or compare two models using the same workload.
Compare the model on the work you need to complete.
Vision Small is listed for Audio-text-to-text, Image-text-to-text, Text generation, Video-text-to-text. It accepts text, image, audio, video, pdf and produces text. Use the publisher’s input format and preprocessing for your chosen deployment.
Documented limits: 1M context and 65.54K maximum output. Measure a completed task using the prompts, documents and tools your application will use. Include reasoning and retries in the result.
Use the model identifier and account requirements for the selected API route. Confirm its request limits and output format with one complete task before connecting a larger workflow.
These records share a directory category. Check the source card, output type and deployment requirements before treating a model as a replacement.
Anthropic
Claude’s small model for high-volume extraction, classification and routing, with adaptive thinking and a 1M-token context window.
Mistral AI
Mistral Large 4 is an open-weight multimodal model released in public preview on the publisher’s announced release, for general reasoning, coding and agent applications.
OpenAI
GPT-6.1 Sol is OpenAI's updated Sol model for coding and professional tasks. It accepts text and images and returns text.
inclusionAI
Ling 3.1 Flash is inclusionAI’s hybrid reasoning model for coding and tool agents, available through a hosted AI Gateway route.
Anthropic
Claude Sonnet 5.5 is an Anthropic language model that accepts text and images and returns text.
MiniMax
MiniMax M3.1 Flash Preview is a multimodal reasoning model for code and agent workflows, accessed through eligible MiniMax plans and tools.