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 (Medium Reasoning)
Model answer: {"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
Claude 4.6 Opus
Model answer: {"answer": "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
Cosmos Reason2 2B
Model answer: {"answer": "Inputs, Llama 3.2 Vision, Outputs"}
Cosmos Reason2 8B
Model answer: {"answer": "Inputs, Llama 3.2 Vision, Outputs"}
GLM 4.6v
Model answer: { "answer": "Inputs, Llama 3.2 Vision, Outputs" }
GPT-4.1
Model answer: {"answer": "Inputs, Llama 3.2 Vision, Outputs"}
GPT-4.1 Mini
Model answer: {"answer": "Inputs, Llama 3.2 Vision, Outputs"}
GPT-5 Mini
Model answer: {"answer": "Inputs, Llama 3.2 Vision, Outputs"}
GPT-5 Nano
Model answer: {"answer": "Inputs, Llama 3.2 Vision, Outputs"}
GPT-5.4
Model answer: {"answer":"Inputs, Llama 3.2 Vision, Outputs"}
Gemini 2.0 Flash
Model answer: {"answer": "Inputs, Llama 3.2 Vision, Outputs"}
Gemini 2.0 Flash Lite
Model answer: { "answer": "Inputs, Llama 3.2 Vision, Outputs" }
Gemini 2.5 Flash
Model answer: {"answer": "Inputs, Llama 3.2 Vision, Outputs"}
Gemini 2.5 Flash Lite
Model answer: {"answer": "Inputs, Llama 3.2 Vision, Outputs"}
Gemini 2.5 Pro
Model answer: {"answer": "Inputs, Llama 3.2 Vision, Outputs"}
Gemini 3 Flash
Model answer: { "answer": "Inputs, Llama 3.2 Vision, Outputs" }
Gemini 3 Flash (Tools)
Model answer: {"answer": "Inputs, Llama 3.2 Vision, Outputs"}
Gemini 3.1 Pro
Model answer: {"answer": "Inputs, Llama 3.2 Vision, Outputs"}
Gemini 3.1 Pro (Tools)
Model answer: {"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
Grok 4
Model answer: {"answer": "Inputs, Llama 3.2 Vision, Outputs"}
Grok 4.1 Fast
Model answer: {"answer": "Inputs, Llama 3.2 Vision, Outputs"}
Kimi k2.5
Model answer: {"answer": "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.
Molmo2 8B
Model answer: {"answer": "Inputs, Llama 3.2 Vision, Outputs"}
OpenAI O1
Model answer: {"answer": "Inputs, Llama 3.2 Vision, Outputs"}
OpenAI O4 Mini (Medium Reasoning)
Model answer: {"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
Qwen 3.5 122B (A10B)
Model answer: {"answer": "Inputs, Llama 3.2 Vision, Outputs"}
Qwen 3.5 27B
Model answer: { "answer": "Inputs, Llama 3.2 Vision, Outputs" }
Qwen 3.5 2B
Model answer: { "answer": [ "Inputs", "Llama 3.2 Vision", "Outputs" ] }
Qwen 3.5 35B (A3B)
Model answer: {"answer": "Inputs, Llama 3.2 Vision, Outputs"}
Qwen 3.5 4B
Model answer: ["Inputs", "Llama 3.2 Vision", "Outputs"]
Qwen 3.5 9B
Model answer: {"answer": "Inputs, Llama 3.2 Vision, Outputs"}
Qwen 3.5 Plus
Model answer: {"answer": "Inputs, Llama 3.2 Vision, Outputs"}
Reka Edge
Model answer: { "answer": "Inputs, Llama 3.2 Vision, Outputs" }
GPT-4.1 Nano
Model answer: {"answer": "Provide inputs, run Llama 3.2 Vision, generate 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.
Qwen 3.5 0.8B
Model answer: Based on the provided image, here are the steps in the workflow: - Download image inputs - Run Llama 3.2 Vision model - Download outputs
SmolVLM2 2.2B
Model answer: {"inputs": {"1": {"type": "string"}}, "outputs": {"1": {"type": "string"}}}