cashcrown // wiedza
Comparisons Models, approaches and tools side by side — honestly, with explicit criteria. “Best” is computed, not asserted; the model data comes from our routing matrix.
Models Approaches: RAG vs fine-tuning vs prompt Hosting: local vs hybrid vs cloud Automation: n8n vs Make vs custom code Flagship models: which one for what Thinking vs instruct models Custom assistant vs off-the-shelf (ChatGPT/Copilot/SaaS) Small specialised model vs large LLM
How to give a model domain knowledge — a qualitative comparison. RAG Fine-tuning Prompt only Fresh/current data Yes No No Setup cost Low High Low Update without retraining Yes No Yes Style/behaviour control Partial Full Partial Hallucination risk Low Medium High Citable sources Yes No No
Where to process data and run models — privacy/cost/quality trade-offs. Local Hybrid Cloud Data stays on-prem Yes Partial No Top model quality Medium High High Cost at scale Low Medium High PII protection Full Full Partial Vendor independence High Medium Low Ops complexity High Medium Low
A comparison of our default production models — profiles, not “general intelligence”. Full measured data: the model atlas. DeepSeek-V4 Mistral Large 3 Qwen3-Coder Gemma 3 Primary task reasoning chat + translation code summarize + fast Throughput High Medium Low Medium Context window High Medium Medium Medium Reasoning mode Yes No No No Vision (image) No Yes No Yes Cost (GPU proxy) High High High Medium
When to turn reasoning (thinking) on and when not — forced on, it can be slow, costly and return empty content. Thinking (reasoning) Instruct (non-thinking) Response speed Slow Fast Cost High Low Accuracy on hard decisions High Medium Empty-answer risk in chat High None Best for analysis, planning, agents chat, code, translation, summaries When to enable only when the task needs reasoning by default (think off)
Build a custom assistant or use an off-the-shelf one — an honest qualitative comparison. Custom Off-the-shelf (SaaS) Answers from your knowledge (RAG) Full Partial Data control / residency Full Partial Integration with systems (CRM, etc.) Full Partial Time to launch Slow Fast Startup cost Medium Low Cost at scale Low High Vendor independence (no lock-in) High Low Guardrails / behaviour control Full Partial Citable sources Yes Partial
Bigger isn't always better — a qualitative comparison for choosing per task. Small (specialised) Large (general) Inference cost Low High Latency Fast Slow Quality on complex tasks Medium High Local hosting ease Full Partial Privacy (data local) Full Partial Fine-tuning cost Low High Versatility (many tasks) Partial Full
Want every model with measured parameters and per-task selection? Model atlas →