Prompt: Digital workflow and process understanding
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How models perform on this prompt
Arcee.ai Spotlight
Model answer: Inputs, Llama 3.2 Vision, Outputs
ChatGPT-4o (High Reasoning)
Model answer: Inputs, Llama 3.2 Vision, Outputs
ChatGPT-4o (Medium Reasoning)
Model answer: Inputs, Llama 3.2 Vision, Outputs
Claude 3.5 Haiku
Model answer: Inputs, Llama 3.2 Vision, Outputs
Claude 3.7 Sonnet
Model answer: Based on the image, the workflow consists of three main steps: Inputs, Llama 3.2 Vision, Outputs The diagram shows a flowchart with these three components connected by dotted lines, indicating the sequential flow of data through the system. The Inputs section shows it accepts 1 image and 1 text input, the middle component is the Llama 3.2 Vision model, and the Outputs section shows it produces 1 output.
Claude 4 Opus
Model answer: Looking at this workflow diagram, I can see the following steps in sequence: Inputs, Llama 3.2 Vision, Outputs
Claude 4 Sonnet
Model answer: Based on the workflow diagram shown, the steps are: Inputs, Llama 3.2 Vision, Outputs
Claude 4.1 Opus
Model answer: Based on the workflow diagram shown, the steps are: Inputs, Llama 3.2 Vision, Outputs
Cohere Aya Vision 32B
Model answer: Inputs,Llama 3.2 Vision,Outputs
Cohere Aya Vision 8B
Model answer: The steps in the workflow, as a comma-separated list, are: Inputs, llama3.2 Vision, Outputs
GPT-4.1
Model answer: Inputs, Llama 3.2 Vision, Outputs
GPT-4.1 Mini
Model answer: Inputs, Llama 3.2 Vision, Outputs
GPT-4.1 Nano
Model answer: Inputs, Llama 3.2 Vision, Outputs
GPT-5
Model answer: Inputs, Llama 3.2 Vision, Outputs
GPT-5 (high reasoning)
Model answer: Inputs, Llama 3.2 Vision, Outputs
GPT-5 Mini
Model answer: Inputs, Llama 3.2 Vision, Outputs
GPT-5 Nano
Model answer: Inputs, Llama 3.2 Vision, Outputs
GPT-5 with High Reasoning
Model answer: Inputs, Llama 3.2 Vision, Outputs
Gemini 1.5 Flash
Model answer: Inputs, Llama 3.2 Vision, Outputs
Gemini 1.5 Pro
Model answer: Inputs, Llama 3.2 Vision, Outputs
Gemini 2.0 Flash
Model answer: Inputs, Llama 3.2 Vision, Outputs
Gemini 2.0 Flash Lite
Model answer: Inputs, Llama 3.2 Vision, Outputs
Gemini 2.5 Flash
Model answer: Inputs, Llama 3.2 Vision, Outputs
Gemini 2.5 Flash Lite
Model answer: Inputs, Llama 3.2 Vision, Outputs
Gemini 2.5 Pro
Model answer: Inputs, Llama 3.2 Vision, Outputs
Gemma 3 27b
Model answer: Inputs, Llama 3.2 Vision, Outputs
Gemma 3 4B
Model answer: Here’s a breakdown of the workflow steps based on the image: Inputs, Llama 3.2 Vision, Outputs
Llama 4 Scout 17B
Model answer: Inputs, Llama 3.2 Vision, Outputs.
Mistral Medium 3
Model answer: Inputs, Llama 3.2 Vision, Outputs
Mistral Small 3.1 24B
Model answer: Inputs,Llama 3.2 Vision,Outputs - The numbers only indicate the respective number of operations in each step, but they are not part of the steps in the workflow.
OpenAI O1
Model answer: Inputs, Llama 3.2 Vision, Outputs
OpenAI O3 (High Reasoning)
Model answer: Inputs, Llama 3.2 Vision, Outputs
OpenAI O3 (Medium Reasoning)
Model answer: Inputs, Llama 3.2 Vision, Outputs
OpenAI O4 Mini (High Reasoning)
Model answer: Inputs, Llama 3.2 Vision, Outputs
OpenAI O4 Mini (Medium Reasoning)
Model answer: Inputs, Llama 3.2 Vision, Outputs
OpenAI o3-pro
Model answer: Inputs, Llama 3.2 Vision, Outputs
Phi 4 Multimodal
Model answer: Inputs, Llama 3.2 Vision, Outputs.
Qwen 2.5 VL 7B
Model answer: Inputs, Llama 3.2 Vision, Outputs
Llama 4 Maverick 17B
Model answer: The image presents a flowchart illustrating the process of Llama 3.2 Vision, a machine learning model. The flowchart consists of three main components: Inputs, Llama 3.2 Vision, and Outputs. * **Inputs** * The Inputs section is represented by a white box with a downward arrow icon on the left side. * It contains two input types: an image (represented by a mountain icon) and text (represented by "AB" in a box). * Both input types have a count of 1. * **Llama 3.2 Vision** * The Llama 3.2 Vision section is represented by a white box with a purple infinity symbol icon on the left side. * It is connected to the Inputs section via a dotted line, indicating that it processes the inputs. * The section is labeled "Llama 3.2 Vision" in black text. * **Outputs** * The Outputs section is represented by a white box with a downward arrow icon on the left side. * It contains a single output, represented by the number 1. * The output is likely the result of the Llama 3.2 Vision processing the inputs. In summary, the flowchart illustrates the process of Llama 3.2 Vision, which takes image and text inputs, processes them, and produces a single output. The image provides a clear and concise visual representation of the workflow, making it easy to understand the steps involved in using Llama 3.2 Vision.