Tasks and inputs
Viv Fast is listed for Image-text-to-text, Text generation. It accepts text, image and produces text. Use the publisher’s input format and preprocessing for your chosen deployment.
Vivgrid’s viv-fast is a text-and-image model with a 1M-token context window, function calling and Chat Completions and Responses API support.
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
viv-fast is Vivgrid’s own model for fast, high-volume workloads. The publisher documents text and image input, a 1M-token context window and up to 256K output tokens. It supports function calling and both Chat Completions and Responses API request formats. Those interface choices can reduce integration work for a client already built around an OpenAI-compatible surface.
API compatibility does not imply identical model behavior or full support for every field a client sends. Test the exact request shape, tool schema, streaming events and error handling used by your application. If a coding client expects Responses events, exercise a tool round trip rather than stopping at a successful plain-text reply.
The model page lists $0.13 per million input tokens, $0.05 per million cached input tokens and $0.40 per million output tokens. These are Vivgrid route prices, not a general price for every service carrying a similarly named model. Include generated output and any repeated requests in the workload estimate.
For image input, use examples with the smallest text and most awkward layouts that occur in deployment. For tool use, test required arguments, refused operations and recovery after a tool error. Measure the proportion of accepted results along with total cost and response time. The publisher positions viv-fast for speed; SyncDev has not recorded a controlled latency measurement for it.
Use the linked documentation to confirm current limits and endpoint behavior.
Compare the model on the work you need to complete.
Viv Fast is listed for Image-text-to-text, Text generation. It accepts text, image and produces text. Use the publisher’s input format and preprocessing for your chosen deployment.
Documented limits: 1M context and 256K maximum output. The listed route charges $0.13 input and $0.40 output per million tokens. 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.
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