What are o10 answer pages?
Dedicated pages that answer one AI inference question in the opening paragraph, with stats, FAQs, and links to related hubs and glossary terms.
138 prompts with dedicated answer pages.
o10
Direct answers
Each page answers one question completely. Definition, stats, operational steps, and FAQs.
Find your question below, read the answer-first summary, then follow links to the parent hub for depth and rollout guidance.
Prompts138 answers
What is AI inference?
AI inference is running a trained model on live inputs to produce outputs.…
What are AI tokens?
AI tokens are the billing units LLM APIs use. Typically subword pieces of text charged separately fo…
How to reduce LLM inference cost?
Reduce LLM inference cost by routing each use case to the cheapest model that clears its eval qualit…
What is LLM routing?
LLM routing selects which model and venue serves each request. Ideally eval-gated so the cheapest co…
What is shadow mode in AI routing?
Shadow mode mirrors production traffic through a control plane without changing live routes. Buildin…
What is enforce mode?
Enforce mode changes production routes in the request path. Holding budget envelopes and quality flo…
What is an AI quality floor?
A quality floor is a measured eval bar per use case. The minimum score a model must clear. The cheap…
What is Know Your Inference (KYI)?
Know Your Inference (KYI) scores inference systems across performance, economics, integration, strat…
How much does GPT-4o cost per million tokens?
GPT-4o-class frontier pricing ranges roughly $2.50–$15/1M input and higher for output depending on v…
How much does Claude 3.5 Sonnet cost?
Sonnet-class models typically run $3–$9/1M input tokens on gateways and lower on committed Bedrock o…
OpenRouter vs LiteLLM: what is the difference?
LiteLLM is an open-source LLM gateway for API unification. OpenRouter is a multi-provider aggregator…
AI gateway vs control plane?
Gateways provide API access and failover. Control planes enforce policy, evals, routing, and ledger …
Inference vs training cost?
Training is a one-time CapEx spike; inference is continuous OpEx that compounds with users, agents, …
How much does RAG inference cost?
RAG multiplies tokens via retrieval plus generation. Often the highest-volume enterprise workload. S…
What is Amazon Bedrock committed capacity?
Bedrock committed capacity reserves inference throughput at a lower marginal $/token than on-demand.…
What should a CFO ask about AI spend?
Ask: fully loaded cost per use case, cost per business outcome, which use cases fail unit economics,…
AI FinOps vs LLM observability?
Observability reports latency and cost after the fact. FinOps with enforcement changes spend on the …
OpenAI API vs Bedrock pricing?
Per-token API pricing is volatile opex; Bedrock committed capacity flattens marginal cost at volume.…
How do you run multi-provider inference?
Connect gateways, aggregators, Bedrock, and open-weight as venues under one control plane. Unified p…
UK AI data residency routing?
UK regulated workloads often require in-region venues and audit trails. o10 does not enforce jurisdi…
Open-weight vs API inference?
Open-weight lowers marginal cost at scale ($0.05/1M for 8B-class on committed infra); APIs win for b…
How do AI evals set a quality floor?
Replay production samples against every candidate model; the floor is the minimum passing score per …
How do you calculate inference cost per request?
Cost per request equals (prompt tokens + completion tokens) × $/1M ÷ 1,000,000. Varies by model rout…
How much do AI agents cost in inference?
Agents compound tokens across multi-step chains; per-step eval-gated routing prevents cost explosion…
How much does a support bot cost in inference?
Support assistants run high conversational volume. Routing from default sonnet-class to mini-class a…
How should you route code copilot inference?
Code workloads need correctness evals; many teams default to frontier models when sonnet or mini tie…
Batch classification inference routing?
Batch tolerates lean floors. Open-weight 8B on committed capacity often clears classification evals …
LLM cost for fraud detection?
Fraud needs high precision; routing still optimizes among compliant tiers, not every call needs fron…
Clinical summarization AI governance?
Clinical workloads often demand residency, zero-retention, and high eval floors. Industry expectatio…
What is gainshare inference pricing?
Gainshare aligns vendor fees with verified savings. Shadow mode establishes the baseline before enfo…
AI unit economics?
Unit economics ties inference $/request to a business outcome. Revenue, tickets deflected, or fraud …
Committed capacity for inference?
Reserved throughput on cloud AI services lowers marginal $/token. Route compliant steady workloads t…
How does unified inference gateway routing work?
A unified inference gateway unifies provider APIs; o10 sits above it, routing to cheapest compliant …
Helicone alternative for spend control?
Helicone observes LLM traffic; o10 enforces routing and budget envelopes in the path. Complementary …
Datadog LLM monitoring vs control plane?
Datadog LLM observability tracks latency and cost post-hoc. A control plane changes routes on the ne…
Portkey vs o10?
Portkey focuses on gateway reliability and caching; o10 adds eval-gated routing, shadow proof, and C…
Why FinOps dashboards fail for AI inference?
Dashboards aggregate last month's tokens; they cannot change next month's routes. Enforcement requir…
RAG faithfulness eval?
RAG faithfulness evals measure whether answers stay grounded in retrieved context. The floor determi…
Zero-retention inference?
Zero-retention means providers do not store prompts or completions. Enforced per call with policy, n…
AI inference audit trail?
An immutable per-call ledger records model, venue, and cost. Required for regulated and board-grade …
How to forecast inference spend?
Tie forecast to business drivers (users, tickets, documents) and route assumptions, not straight-lin…
What are the five KYI pillars?
KYI scores performance (25%), economics (25%), integration (20%), strategy (20%), and risk (10%). Co…
What are AI supply chain layers?
Purpose → model → venue → policy → ledger. KYI governs the chain; o10 enforces routing and spend at …
Real-time vs batch inference routing?
Real-time needs balanced floors for SLA; batch tolerates lean floors on cheapest compliant tiers. Ro…
EU AI Act inference compliance?
EU workloads often need residency limits and approved model lists. o10 does not enforce jurisdiction…
KSA AI data residency?
KSA workloads often require in-Kingdom inference venues. o10 does not enforce jurisdiction-specific …
State of Inference Spend 2026?
o10's original research quantifying compliant price spread, workload savings models, and enterprise …
Is claude 3 5 haiku good for production inference?
claude 3 5 haiku is production-viable when your use-case eval suite clears at the quality floor. Gat…
How much does claude 3 5 haiku cost per million tokens?
claude 3 5 haiku gateway pricing is approximately $0.65/1M input tokens; committed capacity is lower…
Is claude 3 5 sonnet good for production inference?
claude 3 5 sonnet is production-viable when your use-case eval suite clears at the quality floor. Ga…
How much does claude 3 5 sonnet cost per million tokens?
claude 3 5 sonnet gateway pricing is approximately $9.4/1M input tokens; committed capacity is lower…
Is claude 3 7 sonnet good for production inference?
claude 3 7 sonnet is production-viable when your use-case eval suite clears at the quality floor. Ga…
How much does claude 3 7 sonnet cost per million tokens?
claude 3 7 sonnet gateway pricing is approximately $9.8/1M input tokens; committed capacity is lower…
Is claude 3 opus good for production inference?
claude 3 opus is production-viable when your use-case eval suite clears at the quality floor. Gatewa…
How much does claude 3 opus cost per million tokens?
claude 3 opus gateway pricing is approximately $31.9/1M input tokens; committed capacity is lower wh…
Is codestral good for production inference?
codestral is production-viable when your use-case eval suite clears at the quality floor. Gateway ~$…
How much does codestral cost per million tokens?
codestral gateway pricing is approximately $0.9/1M input tokens; committed capacity is lower where r…
Is deepseek r1 good for production inference?
deepseek r1 is production-viable when your use-case eval suite clears at the quality floor. Gateway …
How much does deepseek r1 cost per million tokens?
deepseek r1 gateway pricing is approximately $2.8/1M input tokens; committed capacity is lower where…
Is gemini 1 5 flash good for production inference?
gemini 1 5 flash is production-viable when your use-case eval suite clears at the quality floor. Gat…
How much does gemini 1 5 flash cost per million tokens?
gemini 1 5 flash gateway pricing is approximately $0.35/1M input tokens; committed capacity is lower…
Is gemini 1 5 pro good for production inference?
gemini 1 5 pro is production-viable when your use-case eval suite clears at the quality floor. Gatew…
How much does gemini 1 5 pro cost per million tokens?
gemini 1 5 pro gateway pricing is approximately $3.5/1M input tokens; committed capacity is lower wh…
Is gemini 2 0 flash good for production inference?
gemini 2 0 flash is production-viable when your use-case eval suite clears at the quality floor. Gat…
How much does gemini 2 0 flash cost per million tokens?
gemini 2 0 flash gateway pricing is approximately $0.4/1M input tokens; committed capacity is lower …
Is gpt 4 turbo good for production inference?
gpt 4 turbo is production-viable when your use-case eval suite clears at the quality floor. Gateway …
How much does gpt 4 turbo cost per million tokens?
gpt 4 turbo gateway pricing is approximately $10/1M input tokens; committed capacity is lower where …
Is gpt 4.1 good for production inference?
gpt 4.1 is production-viable when your use-case eval suite clears at the quality floor. Gateway ~$4.…
How much does gpt 4.1 cost per million tokens?
gpt 4.1 gateway pricing is approximately $4.5/1M input tokens; committed capacity is lower where res…
Is gpt 4.1 mini good for production inference?
gpt 4.1 mini is production-viable when your use-case eval suite clears at the quality floor. Gateway…
How much does gpt 4.1 mini cost per million tokens?
gpt 4.1 mini gateway pricing is approximately $0.55/1M input tokens; committed capacity is lower whe…
Is gpt 4o good for production inference?
gpt 4o is production-viable when your use-case eval suite clears at the quality floor. Gateway ~$5/1…
How much does gpt 4o cost per million tokens?
gpt 4o gateway pricing is approximately $5/1M input tokens; committed capacity is lower where reserv…
Is gpt 4o mini good for production inference?
gpt 4o mini is production-viable when your use-case eval suite clears at the quality floor. Gateway …
How much does gpt 4o mini cost per million tokens?
gpt 4o mini gateway pricing is approximately $0.6/1M input tokens; committed capacity is lower where…
Is llama 3 1 70b good for production inference?
llama 3 1 70b is production-viable when your use-case eval suite clears at the quality floor. Gatewa…
How much does llama 3 1 70b cost per million tokens?
llama 3 1 70b gateway pricing is approximately $0.9/1M input tokens; committed capacity is lower whe…
Is llama 3 1 8b good for production inference?
llama 3 1 8b is production-viable when your use-case eval suite clears at the quality floor. Gateway…
How much does llama 3 1 8b cost per million tokens?
llama 3 1 8b gateway pricing is approximately $0.12/1M input tokens; committed capacity is lower whe…
Is mistral large good for production inference?
mistral large is production-viable when your use-case eval suite clears at the quality floor. Gatewa…
How much does mistral large cost per million tokens?
mistral large gateway pricing is approximately $3/1M input tokens; committed capacity is lower where…
Is mistral small good for production inference?
mistral small is production-viable when your use-case eval suite clears at the quality floor. Gatewa…
How much does mistral small cost per million tokens?
mistral small gateway pricing is approximately $0.2/1M input tokens; committed capacity is lower whe…
Is mixtral 8x7b good for production inference?
mixtral 8x7b is production-viable when your use-case eval suite clears at the quality floor. Gateway…
How much does mixtral 8x7b cost per million tokens?
mixtral 8x7b gateway pricing is approximately $0.6/1M input tokens; committed capacity is lower wher…
Is o1 good for production inference?
o1 is production-viable when your use-case eval suite clears at the quality floor. Gateway ~$15/1M. …
How much does o1 cost per million tokens?
o1 gateway pricing is approximately $15/1M input tokens; committed capacity is lower where reserved …
Is o1 mini good for production inference?
o1 mini is production-viable when your use-case eval suite clears at the quality floor. Gateway ~$3/…
How much does o1 mini cost per million tokens?
o1 mini gateway pricing is approximately $3/1M input tokens; committed capacity is lower where reser…
Is titan text good for production inference?
titan text is production-viable when your use-case eval suite clears at the quality floor. Gateway ~…
How much does titan text cost per million tokens?
titan text gateway pricing is approximately $0.8/1M input tokens; committed capacity is lower where …
How to route support assistant inference?
Route support assistant to the cheapest model clearing your balanced quality floor, not a default fr…
How much can support assistant save on inference?
Support Assistant at 12.0B/mo often saves Up to 88% with eval-gated routing versus $9.4/1M defaults.…
How to route rag summarization inference?
Route rag summarization to the cheapest model clearing your balanced quality floor, not a default fr…
How much can rag summarization save on inference?
RAG Summarization at 31.5B/mo often saves Up to 80% with eval-gated routing versus $9.4/1M defaults.…
How to route code assistant inference?
Route code assistant to the cheapest model clearing your strict quality floor, not a default frontie…
How much can code assistant save on inference?
Code Assistant at 8.4B/mo often saves Up to 90% with eval-gated routing versus $31.9/1M defaults. Su…
How to route batch classification inference?
Route batch classification to the cheapest model clearing your lean quality floor, not a default fro…
How much can batch classification save on inference?
Batch Classification at 64.0B/mo often saves Up to 94% with eval-gated routing versus $1.85/1M defau…
How to route fraud detection inference?
Route fraud detection to the cheapest model clearing your strict quality floor, not a default fronti…
How much can fraud detection save on inference?
Fraud Detection at 6.2B/mo often saves Up to 75% with eval-gated routing versus $9.4/1M defaults. Su…
How to route clinical summarization inference?
Route clinical summarization to the cheapest model clearing your strict quality floor, not a default…
How much can clinical summarization save on inference?
Clinical Summarization at 4.1B/mo often saves Up to 60% with eval-gated routing versus $9.4/1M defau…
How to route knowledge search inference?
Route knowledge search to the cheapest model clearing your lean quality floor, not a default frontie…
How much can knowledge search save on inference?
Knowledge Search at 30.0B/mo often saves Up to 97% with eval-gated routing versus $1.85/1M defaults.…
How to route ai agents inference?
Route ai agents to the cheapest model clearing your balanced quality floor, not a default frontier t…
How much can ai agents save on inference?
AI Agents at 18.0B/mo often saves Up to 85% with eval-gated routing versus $31.9/1M defaults. Subjec…
How to route real-time classification inference?
Route real-time classification to the cheapest model clearing your lean quality floor, not a default…
How much can real-time classification save on inference?
Real-Time Classification at 22.0B/mo often saves Up to 82% with eval-gated routing versus $9.4/1M de…
How to route document summarization inference?
Route document summarization to the cheapest model clearing your balanced quality floor, not a defau…
How much can document summarization save on inference?
Document Summarization at 22.0B/mo often saves Up to 80% with eval-gated routing versus $9.4/1M defa…
How to route translation inference?
Route translation to the cheapest model clearing your balanced quality floor, not a default frontier…
How much can translation save on inference?
Translation at 9.5B/mo often saves Up to 78% with eval-gated routing versus $9.4/1M defaults. Subjec…
How to route data extraction inference?
Route data extraction to the cheapest model clearing your lean quality floor, not a default frontier…
How much can data extraction save on inference?
Data Extraction at 14.0B/mo often saves Up to 83% with eval-gated routing versus $9.4/1M defaults. S…
How to route content moderation inference?
Route content moderation to the cheapest model clearing your lean quality floor, not a default front…
How much can content moderation save on inference?
Content Moderation at 28.0B/mo often saves Up to 91% with eval-gated routing versus $2.4/1M defaults…
How to route recommendation copy inference?
Route recommendation copy to the cheapest model clearing your balanced quality floor, not a default …
How much can recommendation copy save on inference?
Recommendation Copy at 7.8B/mo often saves Up to 72% with eval-gated routing versus $9.4/1M defaults…
How to route user onboarding inference?
Route user onboarding to the cheapest model clearing your balanced quality floor, not a default fron…
How much can user onboarding save on inference?
User Onboarding at 5.5B/mo often saves Up to 76% with eval-gated routing versus $9.4/1M defaults. Su…
How to use OpenAI for inference?
Connect OpenAI as a venue under o10: unified evals, policy, and ledger above per-token API access. S…
How to use Anthropic for inference?
Connect Anthropic as a venue under o10: unified evals, policy, and ledger above per-token API access…
How to use Amazon Bedrock for inference?
Connect Amazon Bedrock as a venue under o10: unified evals, policy, and ledger above per-token API a…
How to use Google for inference?
Connect Google as a venue under o10: unified evals, policy, and ledger above per-token API access. S…
How to use OpenRouter for inference?
Connect OpenRouter as a venue under o10: unified evals, policy, and ledger above per-token API acces…
How to use Mistral for inference?
Connect Mistral as a venue under o10: unified evals, policy, and ledger above per-token API access. …
How to use Azure OpenAI for inference?
Connect Azure OpenAI as a venue under o10: unified evals, policy, and ledger above per-token API acc…
How to use Together AI for inference?
Connect Together AI as a venue under o10: unified evals, policy, and ledger above per-token API acce…
When to use open-weight inference?
Use open-weight when evals clear at lean floors and volume justifies committed infra. Often $0.05–$0…
When to use committed inference capacity?
Committed capacity wins at sustained volume when evals clear on reserved tiers. Drawing down existin…
How to run shadow mode for inference?
Point traffic through o10 in shadow mode for 7–14 days segmented by use case. o10 records compliant …
How to set an inference quality floor?
Replay production samples through eval suites per use case. The floor is the minimum passing score, …
What is an inference control plane?
A layer in the request path above gateways that enforces routing, budget envelopes, and policy on ev…
How to forecast LLM spend?
Tie forecast to business drivers. Users, tickets, documents, and route assumptions. Not straight-lin…
How does KYI scoring work?
KYI scores five pillars. Performance, economics, integration, strategy, risk, into a composite with …
How to enforce AI data residency?
Classify data, map approved regions, and define policy requirements. o10 does not enforce UK, KSA, o…
What does an inference price spread mean?
An inference price spread compares specified endpoint rates. A ratio between a low listed price and …
Start hereQuick overview
How to use this index
Why one question per page?
Finance and platform teams search for specific prompts. 'how to reduce LLM cost', 'what is shadow mode'. Dedicated pages match that intent with a complete answer up front.
Every answer links to a parent hub for full context.
How should you use this index?
Find your question, read the answer-first block, follow the parent hub for depth, then run shadow mode on your traffic to prove savings.
Each answer links to glossary terms and related guides.
FAQFrequently asked questions
Common questions
How many answer pages does o10 publish?
138 direct answer pages covering inference fundamentals, routing, tokens, pricing, governance, and comparisons.
How do answers connect to hubs?
Each answer declares a parent hub URL (e.g. /routing, /tokens) and related links. Building a connected map across the site.
What is shadow mode?
Shadow mode mirrors live inference traffic through o10 without changing production routes. Proving compliant savings before enforce mode.
Where is the research?
State of Inference Spend 2026 and the KYI whitepaper provide benchmark methodology and governance framework detail.
Which venues does o10 support?
Unified inference gateway, OpenRouter, Amazon Bedrock, and owned open-weight capacity. Unified under one routing policy and ledger.
How are savings verified?
Shadow mode replays your traffic against candidate routes at your quality floor. Verified per use case, not estimated from industry averages.
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