If you are building an AI-powered application in 2026, you have a problem: there are too many models to choose from. GPT-4o, Claude 3.5, Gemini, Llama, DeepSeek... Most developers default to GPT-4o for everything. But at $2.50/$10.00 per million tokens, that is expensive.
13 models including Llama 3.1 70B, 8B, Mistral 7B, DeepSeek Coder, GLM-4 variants. All run locally via Ollama. Cost: $0 forever. Perfect for 60-70% of typical requests.
DeepSeek V3.1 ($0.27/$1.10 — 9x cheaper than GPT-4o), Gemini Flash ($0.10/$0.40), GPT-4o Mini ($0.15/$0.60). Near-frontier quality at a fraction of the price.
GPT-4o ($2.50/$10.00), Claude 3.5 Sonnet ($3.00/$15.00), Gemini Pro ($1.25/$5.00). Use only for the hardest 5-15% of requests.
A SaaS processing 1M tokens/day:
The router considers: task type (chat, code, vision, reasoning), cost (cheapest capable model), latency (local is faster), and sovereignty (keep sensitive data local).
The companies that win in 2026 will not be the ones with the best AI models. They will be the ones with the best AI cost strategy. Calculate your savings or get started free.