AI Gateway

Bifrost is the best enterprise AI gateway to reduce LLM token cost in 2026, with semantic caching, model routing, Code Mode, and enforced per-team budgets. Enterprise spending on LLM APIs reached $8.4 billion by mid-2025, more than double the $3.5 billion recorded in late 2024, according

TL;DR * Enterprise LLM spend keeps rising even as per-token prices fall, because total token consumption grows faster than prices drop, so cost optimization has to be continuous rather than a one-time exercise. * The gateway is the most durable place to optimize, because every model request passes through

TL;DR * Claude Code natively supports Amazon Bedrock and Google Vertex AI through environment variables, so teams can run the agent against Claude models inside their own cloud accounts under existing IAM, billing, and data-residency controls. * Native Claude Code Bedrock and Vertex configurations point at exactly one provider each;

TL;DR * Anthropic's cost documentation reports that Claude Code costs an average of about $13 per developer per active day and $150 to $250 per developer per month, so reducing Claude Code token costs is a per-seat spend problem, not a rounding error. * Token cost scales with

TL;DR * The model market has split into cheap fast models and expensive frontier models, so routing each request to the right model by cost, latency, or complexity is now a core architectural decision rather than an optimization. * Multi-model routing sends each call to the best-fit model based

TL;DR: Compare the top 5 enterprise gateways for LLM cost tracking and budget controls in 2026, with hierarchical budgets, virtual keys, and real-time enforcement. Enterprise LLM spending has crossed $12.5 billion in foundation model API revenue in 2025, and most platform teams still cannot attribute that spend