OpenAI Models
GPT-4o, o3, GPT-4o mini, o1, and GPT-4.5 selection guide.
OpenAI ModelsA 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.
GPT-4o, o3, GPT-4o mini, o1, and GPT-4.5 selection guide.
OpenAI ModelsClaude Opus, Sonnet, and Haiku tiers for quality, balance, and speed.
Anthropic ModelsGemini Ultra, Pro, Flash, and Nano for cloud and on-device AI.
Gemini ModelsLlama, vision, segmentation, and generative AI model guide.
Meta ModelsMistral Large, Small, Codestral, Mixtral, NeMo, and Pixtral.
Mistral ModelsQwen language, coding, math, vision, and audio model selection.
Alibaba ModelsGrok, reasoning, vision, mini, Aurora, and production API guide.
Xai ModelsIndic LLMs, speech recognition, TTS, translation, and APIs.
Sarvam ModelHow to use these model details
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.