29+ model gateway surfaces in SaaS
A multi‑model LLM gateway that routes across 29+ models, performs token analysis, and exposes a console/pricing layer for enterprise workflows was showcased — a real example of model‑agnostic routing in production SaaS stacks demoed. These gateways let product teams swap or A/B model endpoints without changing orchestration logic.
Portkey’s open-source gateway repository advertises routing to 1,600+ language, vision and audio models, positioning itself as a single control plane for heterogeneous model endpoints. (github.com) Get Multi’s commercial UI publicly touts access to 400+ models and side‑by‑side comparison tooling that mirrors the multi‑model routing pattern shown in the demo. (getmulti.ai) Gateways expose token‑analysis and prompt‑caching because providers bill by tokens: public 2026 price summaries list GPT‑4o at roughly $2.50 per 1M input tokens and $10 per 1M output tokens. (pricepertoken.com) Claude’s integration docs explicitly require or support count_tokens endpoints and gateway-compatible formats for accurate token accounting. (code.claude.com) Edge and low‑latency routing proofs‑of‑concept demonstrate pre‑request classification at the edge so a gateway can pick the lowest‑latency or lowest‑cost provider before a call leaves the network. (fastly.com) Independent gateway evaluations used production‑scale workloads (example: a 500 RPS sustained test mix of GPT‑4 and Claude traffic) to compare latency, throughput, and cost behavior across candidates. (dev.to) Market analysis estimates the LLM gateway segment at about $18.4M in 2025 with a projected expansion to ~$250M by 2032 (CAGR ~45.8%). (qyresearch.com) Enterprise gateway demos and docs emphasize centralized key management, rate‑limits, and budget/observability controls—Claude’s gateway docs list centralized auth and usage tracking, and Kong’s AI Gateway advertises semantic caching plus inline guardrails for compliance. (code.claude.com)
