Cite as: Real Problem AI problem “Why am I paying Claude Opus prices for tasks DeepSeek could handle?”. Opportunity score 8.7 out of 10 (severity 9, AI feasibility 9, market signal 10, competition gap 7). Category SaaS. Trend LLM. Source signal: Ian Paterson's "I Tested 15 LLMs on 38 Real Coding Tasks. Here's My Routing Table" (May 2026), Swfte AI 85%-cost-cut analysis, Tyler Folkman's 2,415-agent-turn cost study ($76.77 across 6 models).. Canonical URL: https://www.realproblem.ai/archive/why-am-i-paying-claude-opus-prices-for-tasks-deepseek-could-handle.
Why am I paying Claude Opus prices for tasks DeepSeek could handle?
Single-model deployments are over. May 2026 benchmarks show a 70/25/5 split across DeepSeek V4-Flash / Claude Sonnet 4.6 / Claude Opus 4.7 delivers performance indistinguishable from all-Opus at ~15% of the cost. But routing logic is hand-rolled per app, breaks on every model update, and no founder has bandwidth to maintain the routing table.
Who has it: AI-first founders, agent-product teams, anyone whose monthly LLM bill exceeds $500.
Evidence
Teams describe sending most of their LLM traffic to the most expensive model, then cutting the bill sharply by routing simple extraction and classification work to a cheaper one.
Our summary of the public post linked below, not a quote. Nobody submitted it to Real Problem AI.
Ian Paterson's "I Tested 15 LLMs on 38 Real Coding Tasks. Here's My Routing Table" (May 2026), Swfte AI 85%-cost-cut analysis, Tyler Folkman's 2,415-agent-turn cost study ($76.77 across 6 models).Scoring breakdown
Existing players
- OpenRouter · Aggregates models; routing logic is on you
- Portkey · Closer fit; routing rules are manual config, not auto-learned
- LiteLLM · Library, not a managed router; you maintain the policy
- Martian / NotDiamond · Auto-routers exist but limited model coverage + opaque benchmarks
What they are missing
A self-tuning router: ingest 24 hours of your real prompts, classify by task type, A/B test cheaper models against incumbent for output quality + latency, and ship the routing table back. Re-runs weekly on a sample of production traffic. Pays for itself in the first week of any team spending >$2K/month on LLMs.
Stack hint
#AI10 · Canonical URL: https://www.realproblem.ai/archive/why-am-i-paying-claude-opus-prices-for-tasks-deepseek-could-handle