ModelRefs / Model Routing — Canonical Workflow
Model Routing — Canonical Workflow
Model Routing: provisional AI workflow implementation reference with candidate models, providers, tools, and architecture.
Overview
Dynamic model routing across providers and tiers based on intent, cost ceiling and latency SLA. Model Routing is a provisional implementation reference with candidate models, providers, tools, benchmarks and deployment patterns to validate on the target workload. Designed for ML engineering teams with evaluation pipelines, model observability dashboards, and deployment governance controls. Self-hosted cluster deployment allows custom inference stacks and hardware-accelerated embedding generation. All pipeline stages emit structured telemetry for cost tracking, latency profiling, and drift detection.
Implementation profile
| Category | reasoning-models |
|---|---|
| Implementation maturity | production |
| Evidence status | incomplete |
| Primary use cases | reasoning |
| Deployment options | managed-api, hybrid |
| Architectures | serverless-api, managed-container, self-hosted-cluster |
Candidate models with published references
- BGE-M3
- GPT-5
- GPT-5 Mini
- Claude Opus 4
- Llama 4 Scout
- DeepSeek R1
- Mistral Large 2
- Command R+
- o3
- o4 Mini
- Text Embedding 3 Large
- Claude Sonnet 4
Coverage means the model is a candidate worth evaluating for this workflow, not a ranking or a recommendation. Models whose reference pages are still in review are omitted.
Benchmarks relevant to this workflow
miracl, mkqa, mldr, swe-bench, aider-polyglot, gpqa, aime-2025, tau-bench, browsecomp-long-context, longfact-concepts, terminal-bench, mmmu, mmlu-pro, livecodebench.
Relevance is a coverage signal from the canonical registry. Each benchmark only describes its own protocol and date, so confirm the harness matches your workload before treating a score as evidence.
Continue your research
Use these connected ModelRefs sections to compare alternatives, inspect implementation paths, and review the evidence and governance boundaries relevant to Model Routing — Canonical Workflow.