Model Picker for Product Teams
A business-friendly advisor that recommends which frontier AI model — Opus 5, GPT-5.6, Kimi K3, Sonnet, or Gemini — is the best fit for any product task, with realistic cost-per-task estimates a non-engineer can defend in a meeting.
Product managers and operations leaders choosing AI vendors without an ML background
- Task-type matcher ('summarize legal docs', 'translate support tickets') that suggests the cheapest model meeting a quality bar
- Monthly cost calculator factoring retries, tool-calls, and prompt length, not just token list price
- Vendor-change simulator ('switching from X to Y saves $4k/mo at current volume')
- Plain-English benchmark summaries so non-engineers can challenge vendor claims in procurement
Anthropic, OpenAI, and Chinese labs are shipping flagship models within weeks of each other, and product teams are paralyzed by choice and conflicting price-perf claims.
BuildBetter cites 75% of PMs use AI tools and multiple comparison sites see real traffic, but the 'model picking' decision is typically made by engineers/eng-leads, not PMs — buyer-persona mismatch limits real demand.Best AI Tools for Product Managers 2025 | Top 15 Picks ↗LLM API Pricing Comparison 2025: GPT-5, Claude, Gemini, DeepSeek ↗
LLM gateway/router market is crowded with OpenRouter, Vellum, Portkey, LiteLLM, Helicone, Requesty, Bifrost, TrueFoundry — all already provide multi-model access with cost tracking; the non-engineer angle is a thin differentiator on top of the same model APIs.OpenRouter Pricing | UsagePricing ↗LLM Gateways 2026: LiteLLM vs OpenRouter vs Portkey | Wavect ↗
Proven B2B willingness to pay for routing/observability (OpenRouter 5% of spend, enterprise contracts, Portkey/Vellum seat pricing), but PMs and ops leaders rarely own the AI-infrastructure budget — engineers/eng-leads do, so monetization is gated by buyer mismatch.OpenRouter Pricing | UsagePricing ↗LLM Gateways 2026: LiteLLM vs OpenRouter vs Portkey | Wavect ↗
Model proliferation and new flagship releases are structural, but price-per-token is collapsing 10x+ annually and models are commoditizing fast — the 'picker' problem is real for ~2-3 years then compresses as providers converge on price/performance.LLM API Pricing Comparison 2025: GPT-5, Claude, Gemini, DeepSeek ↗
Technically trivial — public APIs, existing benchmark data, and a frontend can ship in weeks; the harder problem is keeping benchmark scores and pricing tables current as labs ship new flagships monthly.LLM API Cost Comparison 2025: GPT-4o vs Claude vs Gemini vs Llama ↗