OpenAI Models
GPT-4o, o3, GPT-4o mini, o1, and GPT-4.5 selection guide.
Download PDFA curated DataKnobs library of model-family guides for product leaders, engineers, and AI teams evaluating LLMs, multimodal models, voice AI, coding models, and open-weight deployment options.
Library includes
Use the guides to compare capability, speed, cost, modality, and deployment fit.
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Each PDF is a concise decision guide that explains model options, best-fit use cases, and practical selection guidance.
Select the PDF guides you are interested in, enter your email, and send the request to DataKnobs. This version opens the visitor’s email client so you receive a lead/interest email before sharing the files.
GPT-4o, o3, GPT-4o mini, o1, and GPT-4.5 selection guide.
Download PDFClaude Opus, Sonnet, and Haiku tiers for quality, balance, and speed.
Download PDFGemini Ultra, Pro, Flash, and Nano for cloud and on-device AI.
Download PDFLlama, vision, segmentation, and generative AI model guide.
Download PDFMistral Large, Small, Codestral, Mixtral, NeMo, and Pixtral.
Download PDFQwen language, coding, math, vision, and audio model selection.
Download PDFGrok, reasoning, vision, mini, Aurora, and production API guide.
Download PDFIndic LLMs, speech recognition, TTS, translation, and APIs.
Download PDFHow to use these PDFs
Use these guides during model evaluation, prototype planning, architecture review, vendor comparison, and AI roadmap conversations.
Start with task type: reasoning, coding, document analysis, real-time chat, voice, translation, image understanding, or self-hosting.
Compare quality, latency, cost, context length, modality, governance, and deployment flexibility.
Use DataKnobs to turn model experiments into governed workflows, AI assistants, and decision-ready data products.
Need help choosing?
We can help you choose the right model family, design the data product architecture, and move from prototype to production using Kreate, Kontrols, and Knobs.
Turn AI model selection into a production-ready data product strategy.