Evidence-backed model downgrades
Prove which models you can safely downgrade.
rightmodeler replays your real agent traces through cheaper models, judges each output against what you already shipped, and shows exactly where you can cut cost — with evidence and confidence on every call.
0%
cost reduction · PR summary · medium confidence — illustrative example
Illustrative — not measured results
cheaper-models · per-step approval5 steps · quality floor 0.90
Approvedpr_summary
gpt-4.1 → gpt-4o-mini
save 72%quality 0.94reference+judge
Pending — cascade risktool_agentCASCADE
claude-opus-4 → llama-3.3-70b
save 41%quality 0.88trajectory
Approvedjson_extraction
gpt-4o → gpt-4o-mini
save 68%quality 1.00deterministic
Approvedsql_generation
gpt-4o → deepseek-chat
save 55%quality 0.91reference
Abstainedauth_code_editHIGH-RISK · abstain
gpt-4.1 → —
save —quality —none
statusStepFamilyCurrent → CandidateSaveQualityEvidenceFlag
Approved1pr_summarygpt-4.1 → gpt-4o-mini72%0.94reference+judge—
Pending — cascade risk2tool_agentclaude-opus-4 → llama-3.3-70b41%0.88trajectoryCASCADE
Approved3json_extractiongpt-4o → gpt-4o-mini68%1.00deterministic—
Approved4sql_generationgpt-4o → deepseek-chat55%0.91reference—
Abstained5auth_code_editgpt-4.1 → ———noneHIGH-RISK · abstain
Reads the traces you already have.
Autodetects 8 trace formats into one per-step schema.
Reads traces from Claude Code, Codex, LangSmith / LangGraph, OpenAI SDK, Langfuse, Braintrust, Phoenix (OpenInference), OTel GenAI.
Run it on your own traces.
It’s a report, not a runtime gateway — prove the savings on your own data first.