https://o10.io o10 routes every AI inference call to the cheapest model that clears your quality floor — across Vercel AI Gateway, OpenRouter, Amazon Bedrock, and owned capacity. Shadow mode, evals, and KYI governance. en-us Tue, 09 Jun 2026 00:00:00 GMT https://o10.io/blog/inference-spend-2026-trends https://o10.io/blog/inference-spend-2026-trends Enterprise inference spend is shifting from frontier defaults to eval-gated routing across gateways, Bedrock committed capacity, and open-weight. Tue, 09 Jun 2026 00:00:00 GMT https://o10.io/blog/openai-price-change-routing https://o10.io/blog/openai-price-change-routing Per-token list price changes are only half the story — venue mix and model tier selection drive fully loaded cost. Tue, 09 Jun 2026 00:00:00 GMT https://o10.io/blog/shadow-mode-savings-proof https://o10.io/blog/shadow-mode-savings-proof CFOs will not flip enforce mode without a verified baseline — shadow mirrors traffic without changing production. Tue, 09 Jun 2026 00:00:00 GMT https://o10.io/blog/bedrock-commitment-drawdown https://o10.io/blog/bedrock-commitment-drawdown Reserved AWS AI capacity lowers marginal cost — route compliant steady workloads through committed tiers. Tue, 09 Jun 2026 00:00:00 GMT https://o10.io/blog/rag-token-explosion https://o10.io/blog/rag-token-explosion Retrieval plus generation multiplies tokens; eval-gated mini-class routing is often the largest absolute savings lever. Tue, 09 Jun 2026 00:00:00 GMT https://o10.io/blog/agent-cost-compounding https://o10.io/blog/agent-cost-compounding Multi-step agents multiply spend; per-step routing prevents frontier defaults on every hop. Tue, 09 Jun 2026 00:00:00 GMT https://o10.io/blog/kyi-board-reporting https://o10.io/blog/kyi-board-reporting Boards need recommendation and risk — not token totals. KYI composite scores five pillars continuously. Tue, 09 Jun 2026 00:00:00 GMT https://o10.io/blog/eval-drift-production https://o10.io/blog/eval-drift-production Models drift; weekly eval replay on production samples keeps quality floors honest. Tue, 09 Jun 2026 00:00:00 GMT https://o10.io/blog/gateway-sprawl https://o10.io/blog/gateway-sprawl Multiple gateways without unified policy fragment spend — one control plane above all venues. Tue, 09 Jun 2026 00:00:00 GMT https://o10.io/blog/open-weight-production-2026 https://o10.io/blog/open-weight-production-2026 8B-class open-weight on committed infra clears many workloads at $0.05/1M when evals permit. Tue, 09 Jun 2026 00:00:00 GMT https://o10.io/blog/cfo-inference-questions https://o10.io/blog/cfo-inference-questions Fully loaded cost, cost per outcome, failing unit economics, forecast drivers — each with a lever. Tue, 09 Jun 2026 00:00:00 GMT https://o10.io/blog/uk-inference-residency https://o10.io/blog/uk-inference-residency Policy PDFs do not route traffic — per-call jurisdiction enforcement does. Tue, 09 Jun 2026 00:00:00 GMT https://o10.io/blog/multi-cloud-inference-ledger https://o10.io/blog/multi-cloud-inference-ledger Immutable per-call records across AWS, gateways, and self-hosted — finance-grade attribution. Tue, 09 Jun 2026 00:00:00 GMT https://o10.io/blog/quality-floor-without-evals https://o10.io/blog/quality-floor-without-evals Define the floor from replayed production samples — not vendor marketing tiers. Tue, 09 Jun 2026 00:00:00 GMT https://o10.io/blog/638x-spread-explained https://o10.io/blog/638x-spread-explained Same workload, same eval floor, different venues — compliant price spread drives routing economics. Tue, 09 Jun 2026 00:00:00 GMT https://o10.io/blog/finops-vs-enforcement https://o10.io/blog/finops-vs-enforcement Reporting last month versus changing next request — different layers, both needed, only one controls spend. Tue, 09 Jun 2026 00:00:00 GMT https://o10.io/blog/support-bot-routing https://o10.io/blog/support-bot-routing High volume + strict QA floor still clears on mini tiers for many enterprises. Tue, 09 Jun 2026 00:00:00 GMT https://o10.io/blog/code-copilot-eval-gates https://o10.io/blog/code-copilot-eval-gates Correctness suites often clear below frontier — prove on your repos before paying frontier prices. Tue, 09 Jun 2026 00:00:00 GMT https://o10.io/blog/inference-forecasting-drivers https://o10.io/blog/inference-forecasting-drivers Users, tickets, documents — not straight-line token growth. Tue, 09 Jun 2026 00:00:00 GMT https://o10.io/blog/llms-txt-for-geo https://o10.io/blog/llms-txt-for-geo Machine-readable site summaries orient AI crawlers — supplement to extractable passages, not a substitute. Tue, 09 Jun 2026 00:00:00 GMT https://o10.io/answers/what-is-ai-inference https://o10.io/answers/what-is-ai-inference AI inference is running a trained model on live inputs to produce outputs — the operational phase where up to 90% of AI cost and risk accrues in production. Tue, 09 Jun 2026 00:00:00 GMT https://o10.io/answers/what-are-ai-tokens https://o10.io/answers/what-are-ai-tokens AI tokens are the billing units LLM APIs use — typically subword pieces of text charged separately for prompts and completions. Tue, 09 Jun 2026 00:00:00 GMT https://o10.io/answers/how-to-reduce-llm-inference-cost https://o10.io/answers/how-to-reduce-llm-inference-cost Reduce LLM inference cost by routing each use case to the cheapest model that clears its eval quality floor — prove in shadow mode, then enforce in the request path. Tue, 09 Jun 2026 00:00:00 GMT https://o10.io/answers/what-is-llm-routing https://o10.io/answers/what-is-llm-routing LLM routing selects which model and venue serves each request — ideally eval-gated so the cheapest compliant option wins, not the default frontier model. Tue, 09 Jun 2026 00:00:00 GMT https://o10.io/answers/what-is-shadow-mode https://o10.io/answers/what-is-shadow-mode Shadow mode mirrors production traffic through a control plane without changing live routes — building a verified savings baseline before enforce mode. Tue, 09 Jun 2026 00:00:00 GMT https://o10.io/answers/what-is-enforce-mode https://o10.io/answers/what-is-enforce-mode Enforce mode changes production routes in the request path — holding budget envelopes and quality floors on every subsequent call. Tue, 09 Jun 2026 00:00:00 GMT https://o10.io/answers/what-is-quality-floor https://o10.io/answers/what-is-quality-floor A quality floor is a measured eval bar per use case — the minimum score a model must clear. The cheapest model that passes is the route to select. Tue, 09 Jun 2026 00:00:00 GMT https://o10.io/answers/what-is-know-your-inference https://o10.io/answers/what-is-know-your-inference Know Your Inference (KYI) scores inference systems across performance, economics, integration, strategy, and risk — producing a board-signable recommendation. Tue, 09 Jun 2026 00:00:00 GMT https://o10.io/answers/gpt-4o-price-per-million-tokens https://o10.io/answers/gpt-4o-price-per-million-tokens GPT-4o-class frontier pricing ranges roughly $2.50–$15/1M input and higher for output depending on venue — gateway, aggregator, or committed cloud capacity. Tue, 09 Jun 2026 00:00:00 GMT https://o10.io/answers/claude-3-5-sonnet-pricing https://o10.io/answers/claude-3-5-sonnet-pricing Sonnet-class models typically run $3–$9/1M input tokens on gateways and lower on committed Bedrock or enterprise agreements. Tue, 09 Jun 2026 00:00:00 GMT https://o10.io/answers/openrouter-vs-litellm https://o10.io/answers/openrouter-vs-litellm LiteLLM is an open-source LLM gateway for API unification. OpenRouter is a multi-provider aggregator. Neither enforces spend — both sit below a control plane like o10. Tue, 09 Jun 2026 00:00:00 GMT https://o10.io/answers/ai-gateway-vs-control-plane https://o10.io/answers/ai-gateway-vs-control-plane Gateways provide API access and failover. Control planes enforce policy, evals, routing, and ledger above all gateways and clouds. Tue, 09 Jun 2026 00:00:00 GMT https://o10.io/answers/inference-vs-training-cost https://o10.io/answers/inference-vs-training-cost Training is a one-time CapEx spike; inference is continuous OpEx that compounds with users, agents, and retries — often 90%+ of operational AI spend. Tue, 09 Jun 2026 00:00:00 GMT https://o10.io/answers/how-much-does-rag-cost https://o10.io/answers/how-much-does-rag-cost RAG multiplies tokens via retrieval plus generation — often the highest-volume enterprise workload. Savings from eval-gated routing to mini or haiku tiers are typically largest here. Tue, 09 Jun 2026 00:00:00 GMT https://o10.io/answers/bedrock-committed-capacity https://o10.io/answers/bedrock-committed-capacity Bedrock committed capacity reserves inference throughput at a lower marginal $/token than on-demand — ideal for steady workloads once evals clear on reserved tiers. Tue, 09 Jun 2026 00:00:00 GMT https://o10.io/ai https://o10.io/ai AI in production is inference — where up to 90% of operational life and spend accrues. o10 is the control plane that enforces inference spend, not just reports it. Tue, 09 Jun 2026 00:00:00 GMT https://o10.io/ai-inference https://o10.io/ai-inference AI inference is running trained models on live requests. o10 routes inference to the cheapest compliant model across gateways, Bedrock, and owned capacity — with up to 638× observed price spread. Tue, 09 Jun 2026 00:00:00 GMT https://o10.io/tokens https://o10.io/tokens AI tokens are how LLMs meter text for billing — not cryptocurrency. o10 optimizes token spend by routing to the cheapest compliant model per use case. Interactive calculator and venue price tables. Tue, 09 Jun 2026 00:00:00 GMT https://o10.io/ai-models https://o10.io/ai-models AI model selection should be eval-gated: cheapest model clearing your quality floor. Compare open-weight, mini, sonnet-class, and frontier tiers with live eval gate demo. Tue, 09 Jun 2026 00:00:00 GMT https://o10.io/routing https://o10.io/routing AI model routing sends each inference call to the cheapest compliant model and venue. o10 offers shadow mode (prove savings) and enforce mode (hold the envelope in the path). Live routing console demo. Tue, 09 Jun 2026 00:00:00 GMT https://o10.io/ai-supply-chain https://o10.io/ai-supply-chain The AI supply chain spans sourcing capacity, evals, enforcement, KYI governance, and board assurance. o10 is the control plane; KYI scores sustainability across five pillars. Tue, 09 Jun 2026 00:00:00 GMT https://o10.io/inference-spend https://o10.io/inference-spend Inference spend is production AI cost metered in tokens and venues. o10 enforces budget envelopes per use case — dashboards observe, o10 changes what you spend. Tue, 09 Jun 2026 00:00:00 GMT https://o10.io/ai-finops https://o10.io/ai-finops AI FinOps answers four CFO questions with levers — not slides. Live ledger per use case, unit economics, kill criteria, and forecasts tied to volume drivers. Tue, 09 Jun 2026 00:00:00 GMT https://o10.io/governance https://o10.io/governance Enforce zero-retention, jurisdiction-aware routing, and immutable per-call audit trails at the control plane — not in policy documents alone. Tue, 09 Jun 2026 00:00:00 GMT https://o10.io/kyi https://o10.io/kyi KYI scores inference use cases across five pillars — performance, economics, integration, strategy, risk — with a composite score and board recommendation. By Shen Pandi. Tue, 09 Jun 2026 00:00:00 GMT