01Deep dive
Where to start
Start with the question you are trying to answer. Token definitions explain usage and billing; routing terms explain model selection; evaluation terms explain how to measure results.
o10
AI inference glossary
Definitions for model inference, tokens, routing, evaluation, and AI operations.
Use the glossary to clarify a term, then follow its related guide for examples and practical context.
Terms294 entries
AI (Artificial Intelligence)
Artificial intelligence is a broad field concerned with systems that perform tasks such as prediction, perception, langu…
Artificial Intelligence
Artificial intelligence encompasses methods for tasks such as prediction, perception, language processing, and decision-…
AI Inference
AI inference is the execution of a trained model on an input to produce an output, such as a prediction, embedding, clas…
Inference
Inference applies an existing model to an input to produce an output. Training instead adjusts model parameters using a …
LLM Inference
LLM inference executes a language model on a prompt or other supported input to produce output tokens. An application ma…
Inference vs Training
Training adjusts model parameters; inference uses a model’s parameters to compute an output. These are technical distinc…
AI Tokens (LLM)
Tokens are units produced by a model’s tokenizer. A token may represent part of a word, a whole word, punctuation, or an…
AI Tokens
AI tokens are units used to encode inputs or outputs for a model. Token counts can affect context limits, latency, and A…
AI Tokens vs Crypto Tokens
AI tokens are model input or output units. Cryptocurrency tokens are digital assets recorded through blockchain systems;…
Token Pricing
Token pricing specifies a charge for processing model input or output units, commonly quoted per million tokens. Rates a…
Token Cost
Token cost is the sum of billable token quantities multiplied by their corresponding rates. It is one component of the c…
Context Window
A context window is a model or endpoint’s limit on the token sequence it can process. The allocation between input and g…
Prompt Tokens
Prompt tokens are the tokens in the input supplied to a language model, including applicable instructions, conversation …
Completion Tokens
Completion tokens are generated output tokens. Endpoint usage records may distinguish visible output from other billed g…
Model Routing
Model routing chooses a model or endpoint for an inference request according to configured rules or a learned selection …
AI Routing
AI routing directs an application’s requests to selected models, endpoints, or processing paths. A routing decision can …
LLM Routing
LLM routing selects a language model or endpoint for a request. Static rules, classifiers, evaluation-based policies, an…
AI Models
AI models are computational systems used to map inputs to outputs, often through parameters learned from data. They incl…
LLM Models
Large language models are models trained to process and generate language-related token sequences. Some also support ima…
Model Selection
Model selection is the process of choosing a model for a task using explicit requirements and evaluation evidence. It ca…
Quality Floor
A quality floor is a minimum acceptance threshold for a specified evaluation. Its meaning depends on the task, rubric, s…
Shadow Mode
Shadow mode evaluates an alternative processing path while the existing path continues serving the production result. In…
Enforce Mode
Enforce mode refers to applying configured controls to live requests rather than merely observing or simulating their ef…
Multi-Provider Routing
Multi-provider routing selects among endpoints operated by different providers. It can support availability, model acces…
AI Gateway
An AI gateway is an intermediary that gives applications a controlled interface to model services. Depending on the prod…
OpenRouter
OpenRouter is a multi-provider aggregator offering many models through one API. o10 routes above OpenRouter to the cheap…
Unified inference gateway
A unified inference gateway provides a common application interface to multiple model endpoints. It may normalize reques…
Amazon Bedrock
Amazon Bedrock offers managed foundation models with per-token and committed capacity pricing. Routing inference through…
AI Supply Chain
An AI supply chain includes the data, models, serving infrastructure, software dependencies, tools, and organizations in…
Inference Spend
Inference spend is the cost of executing deployed models and the supporting services required to deliver their outputs. …
AI Cost
AI cost includes the resources required to develop and operate an AI system, such as data work, training, inference, int…
AI FinOps
AI FinOps applies financial accountability and operational cost management to AI systems. It connects spending to usage …
FinOps
FinOps is an operating practice that connects technology spending with financial accountability and business value. For …
Capex Inference
Capital expenditure for inference can include acquired infrastructure used to serve models. A capacity commitment or fix…
Opex Inference
Operating expenditure for inference refers to ongoing expenses associated with running model workloads. Usage-based API …
Committed Capacity
Committed capacity is a commercial arrangement for reserved or provisioned service capacity over a defined period. Terms…
Gainshare Pricing
Gainshare is a commercial pricing arrangement in which compensation depends on an agreed measure of improvement or savin…
Unit Economics
Unit economics relates revenue or value and cost to a defined unit of activity, such as a completed task or resolved sup…
Inference Price Spread
A price spread is the difference or ratio between listed rates for specified products or endpoints. It does not establis…
Know Your Inference (KYI)
Know Your Inference (KYI) is a framework scoring inference systems across performance, economics, integration, strategy,…
KYI
KYI (Know Your Inference) governs the AI supply chain above routing. Five weighted pillars roll into a composite score, …
AI Governance
AI governance sets policies for data residency, retention, model approval, and spend envelopes. o10 enforces eval floors…
AI Eval
An AI evaluation measures behavior against a defined task and rubric. It may use automated checks, human review, model-b…
Evals
Evals are evaluations used to measure model or system behavior against specified criteria. They can be run offline, duri…
Data Residency
Data residency is the requirement that inference data stays in approved jurisdictions and venues. o10 does not enforce U…
Zero Retention
Zero data retention describes a provider or endpoint policy governing retention of submitted content. Scope, exceptions,…
Audit Trail
An audit trail is a record of events that supports investigation and accountability. For inference, useful fields can in…
AI Risk
AI risk covers technical failure, compliance, vendor lock-in, and unit-economic collapse. KYI's risk pillar (10% weight)…
Inference Control Plane
A control plane configures or governs system behavior, while a data plane carries out the work. In AI infrastructure, co…
LiteLLM
LiteLLM provides a model API abstraction and an AI gateway with capabilities including cost tracking, routing, and budge…
Helicone
Helicone provides LLM observability and logging. o10 enforces routing and spend in the path; observability tools report …
RAG Inference
Retrieval-augmented generation supplies retrieved information to a model to help it answer a query. Retrieval and answer…
Embedding Inference
Embeddings are vector representations of inputs used in tasks such as similarity search, retrieval, and clustering. Embe…
Batch Inference
Batch inference processes a collection of inputs as a job rather than serving each result interactively. It is useful wh…
claude 3 5 haiku inference
claude 3 5 haiku inference is running the claude 3 5 haiku model tier on live prompts in production. Cost scales with to…
claude 3 5 haiku token pricing
claude 3 5 haiku token pricing varies by venue. Gateway, committed capacity, and open-weight hosting. Compare $/1M rates…
claude 3 5 haiku routing
claude 3 5 haiku routing selects when production traffic should use claude 3 5 haiku versus cheaper compliant tiers. Sha…
claude 3 5 haiku quality floor
A claude 3 5 haiku quality floor is the minimum eval score claude 3 5 haiku must achieve for a specific use case. Cheape…
claude 3 5 sonnet inference
claude 3 5 sonnet inference is running the claude 3 5 sonnet model tier on live prompts in production. Cost scales with …
claude 3 5 sonnet token pricing
claude 3 5 sonnet token pricing varies by venue. Gateway, committed capacity, and open-weight hosting. Compare $/1M rate…
claude 3 5 sonnet routing
claude 3 5 sonnet routing selects when production traffic should use claude 3 5 sonnet versus cheaper compliant tiers. S…
claude 3 5 sonnet quality floor
A claude 3 5 sonnet quality floor is the minimum eval score claude 3 5 sonnet must achieve for a specific use case. Chea…
claude 3 7 sonnet inference
claude 3 7 sonnet inference is running the claude 3 7 sonnet model tier on live prompts in production. Cost scales with …
claude 3 7 sonnet token pricing
claude 3 7 sonnet token pricing varies by venue. Gateway, committed capacity, and open-weight hosting. Compare $/1M rate…
claude 3 7 sonnet routing
claude 3 7 sonnet routing selects when production traffic should use claude 3 7 sonnet versus cheaper compliant tiers. S…
claude 3 7 sonnet quality floor
A claude 3 7 sonnet quality floor is the minimum eval score claude 3 7 sonnet must achieve for a specific use case. Chea…
claude 3 opus inference
claude 3 opus inference is running the claude 3 opus model tier on live prompts in production. Cost scales with tokens; …
claude 3 opus token pricing
claude 3 opus token pricing varies by venue. Gateway, committed capacity, and open-weight hosting. Compare $/1M rates be…
claude 3 opus routing
claude 3 opus routing selects when production traffic should use claude 3 opus versus cheaper compliant tiers. Shadow mo…
claude 3 opus quality floor
A claude 3 opus quality floor is the minimum eval score claude 3 opus must achieve for a specific use case. Cheaper mode…
codestral inference
codestral inference is running the codestral model tier on live prompts in production. Cost scales with tokens; o10 rout…
codestral token pricing
codestral token pricing varies by venue. Gateway, committed capacity, and open-weight hosting. Compare $/1M rates before…
codestral routing
codestral routing selects when production traffic should use codestral versus cheaper compliant tiers. Shadow mode prove…
codestral quality floor
A codestral quality floor is the minimum eval score codestral must achieve for a specific use case. Cheaper models that …
deepseek r1 inference
deepseek r1 inference is running the deepseek r1 model tier on live prompts in production. Cost scales with tokens; o10 …
deepseek r1 token pricing
deepseek r1 token pricing varies by venue. Gateway, committed capacity, and open-weight hosting. Compare $/1M rates befo…
deepseek r1 routing
deepseek r1 routing selects when production traffic should use deepseek r1 versus cheaper compliant tiers. Shadow mode p…
deepseek r1 quality floor
A deepseek r1 quality floor is the minimum eval score deepseek r1 must achieve for a specific use case. Cheaper models t…
gemini 1 5 flash inference
gemini 1 5 flash inference is running the gemini 1 5 flash model tier on live prompts in production. Cost scales with to…
gemini 1 5 flash token pricing
gemini 1 5 flash token pricing varies by venue. Gateway, committed capacity, and open-weight hosting. Compare $/1M rates…
gemini 1 5 flash routing
gemini 1 5 flash routing selects when production traffic should use gemini 1 5 flash versus cheaper compliant tiers. Sha…
gemini 1 5 flash quality floor
A gemini 1 5 flash quality floor is the minimum eval score gemini 1 5 flash must achieve for a specific use case. Cheape…
gemini 1 5 pro inference
gemini 1 5 pro inference is running the gemini 1 5 pro model tier on live prompts in production. Cost scales with tokens…
gemini 1 5 pro token pricing
gemini 1 5 pro token pricing varies by venue. Gateway, committed capacity, and open-weight hosting. Compare $/1M rates b…
gemini 1 5 pro routing
gemini 1 5 pro routing selects when production traffic should use gemini 1 5 pro versus cheaper compliant tiers. Shadow …
gemini 1 5 pro quality floor
A gemini 1 5 pro quality floor is the minimum eval score gemini 1 5 pro must achieve for a specific use case. Cheaper mo…
gemini 2 0 flash inference
gemini 2 0 flash inference is running the gemini 2 0 flash model tier on live prompts in production. Cost scales with to…
gemini 2 0 flash token pricing
gemini 2 0 flash token pricing varies by venue. Gateway, committed capacity, and open-weight hosting. Compare $/1M rates…
gemini 2 0 flash routing
gemini 2 0 flash routing selects when production traffic should use gemini 2 0 flash versus cheaper compliant tiers. Sha…
gemini 2 0 flash quality floor
A gemini 2 0 flash quality floor is the minimum eval score gemini 2 0 flash must achieve for a specific use case. Cheape…
gpt 4 turbo inference
gpt 4 turbo inference is running the gpt 4 turbo model tier on live prompts in production. Cost scales with tokens; o10 …
gpt 4 turbo token pricing
gpt 4 turbo token pricing varies by venue. Gateway, committed capacity, and open-weight hosting. Compare $/1M rates befo…
gpt 4 turbo routing
gpt 4 turbo routing selects when production traffic should use gpt 4 turbo versus cheaper compliant tiers. Shadow mode p…
gpt 4 turbo quality floor
A gpt 4 turbo quality floor is the minimum eval score gpt 4 turbo must achieve for a specific use case. Cheaper models t…
gpt 4.1 inference
gpt 4.1 inference is running the gpt 4.1 model tier on live prompts in production. Cost scales with tokens; o10 routes g…
gpt 4.1 token pricing
gpt 4.1 token pricing varies by venue. Gateway, committed capacity, and open-weight hosting. Compare $/1M rates before d…
gpt 4.1 routing
gpt 4.1 routing selects when production traffic should use gpt 4.1 versus cheaper compliant tiers. Shadow mode proves eq…
gpt 4.1 quality floor
A gpt 4.1 quality floor is the minimum eval score gpt 4.1 must achieve for a specific use case. Cheaper models that clea…
gpt 4.1 mini inference
gpt 4.1 mini inference is running the gpt 4.1 mini model tier on live prompts in production. Cost scales with tokens; o1…
gpt 4.1 mini token pricing
gpt 4.1 mini token pricing varies by venue. Gateway, committed capacity, and open-weight hosting. Compare $/1M rates bef…
gpt 4.1 mini routing
gpt 4.1 mini routing selects when production traffic should use gpt 4.1 mini versus cheaper compliant tiers. Shadow mode…
gpt 4.1 mini quality floor
A gpt 4.1 mini quality floor is the minimum eval score gpt 4.1 mini must achieve for a specific use case. Cheaper models…
gpt 4o inference
gpt 4o inference is running the gpt 4o model tier on live prompts in production. Cost scales with tokens; o10 routes gpt…
gpt 4o token pricing
gpt 4o token pricing varies by venue. Gateway, committed capacity, and open-weight hosting. Compare $/1M rates before de…
gpt 4o routing
gpt 4o routing selects when production traffic should use gpt 4o versus cheaper compliant tiers. Shadow mode proves equi…
gpt 4o quality floor
A gpt 4o quality floor is the minimum eval score gpt 4o must achieve for a specific use case. Cheaper models that clear …
gpt 4o mini inference
gpt 4o mini inference is running the gpt 4o mini model tier on live prompts in production. Cost scales with tokens; o10 …
gpt 4o mini token pricing
gpt 4o mini token pricing varies by venue. Gateway, committed capacity, and open-weight hosting. Compare $/1M rates befo…
gpt 4o mini routing
gpt 4o mini routing selects when production traffic should use gpt 4o mini versus cheaper compliant tiers. Shadow mode p…
gpt 4o mini quality floor
A gpt 4o mini quality floor is the minimum eval score gpt 4o mini must achieve for a specific use case. Cheaper models t…
llama 3 1 70b inference
llama 3 1 70b inference is running the llama 3 1 70b model tier on live prompts in production. Cost scales with tokens; …
llama 3 1 70b token pricing
llama 3 1 70b token pricing varies by venue. Gateway, committed capacity, and open-weight hosting. Compare $/1M rates be…
llama 3 1 70b routing
llama 3 1 70b routing selects when production traffic should use llama 3 1 70b versus cheaper compliant tiers. Shadow mo…
llama 3 1 70b quality floor
A llama 3 1 70b quality floor is the minimum eval score llama 3 1 70b must achieve for a specific use case. Cheaper mode…
llama 3 1 8b inference
llama 3 1 8b inference is running the llama 3 1 8b model tier on live prompts in production. Cost scales with tokens; o1…
llama 3 1 8b token pricing
llama 3 1 8b token pricing varies by venue. Gateway, committed capacity, and open-weight hosting. Compare $/1M rates bef…
llama 3 1 8b routing
llama 3 1 8b routing selects when production traffic should use llama 3 1 8b versus cheaper compliant tiers. Shadow mode…
llama 3 1 8b quality floor
A llama 3 1 8b quality floor is the minimum eval score llama 3 1 8b must achieve for a specific use case. Cheaper models…
mistral large inference
mistral large inference is running the mistral large model tier on live prompts in production. Cost scales with tokens; …
mistral large token pricing
mistral large token pricing varies by venue. Gateway, committed capacity, and open-weight hosting. Compare $/1M rates be…
mistral large routing
mistral large routing selects when production traffic should use mistral large versus cheaper compliant tiers. Shadow mo…
mistral large quality floor
A mistral large quality floor is the minimum eval score mistral large must achieve for a specific use case. Cheaper mode…
mistral small inference
mistral small inference is running the mistral small model tier on live prompts in production. Cost scales with tokens; …
mistral small token pricing
mistral small token pricing varies by venue. Gateway, committed capacity, and open-weight hosting. Compare $/1M rates be…
mistral small routing
mistral small routing selects when production traffic should use mistral small versus cheaper compliant tiers. Shadow mo…
mistral small quality floor
A mistral small quality floor is the minimum eval score mistral small must achieve for a specific use case. Cheaper mode…
mixtral 8x7b inference
mixtral 8x7b inference is running the mixtral 8x7b model tier on live prompts in production. Cost scales with tokens; o1…
mixtral 8x7b token pricing
mixtral 8x7b token pricing varies by venue. Gateway, committed capacity, and open-weight hosting. Compare $/1M rates bef…
mixtral 8x7b routing
mixtral 8x7b routing selects when production traffic should use mixtral 8x7b versus cheaper compliant tiers. Shadow mode…
mixtral 8x7b quality floor
A mixtral 8x7b quality floor is the minimum eval score mixtral 8x7b must achieve for a specific use case. Cheaper models…
o1 inference
o1 inference is running the o1 model tier on live prompts in production. Cost scales with tokens; o10 routes o1 only whe…
o1 token pricing
o1 token pricing varies by venue. Gateway, committed capacity, and open-weight hosting. Compare $/1M rates before defaul…
o1 routing
o1 routing selects when production traffic should use o1 versus cheaper compliant tiers. Shadow mode proves equivalence …
o1 quality floor
A o1 quality floor is the minimum eval score o1 must achieve for a specific use case. Cheaper models that clear the same…
o1 mini inference
o1 mini inference is running the o1 mini model tier on live prompts in production. Cost scales with tokens; o10 routes o…
o1 mini token pricing
o1 mini token pricing varies by venue. Gateway, committed capacity, and open-weight hosting. Compare $/1M rates before d…
o1 mini routing
o1 mini routing selects when production traffic should use o1 mini versus cheaper compliant tiers. Shadow mode proves eq…
o1 mini quality floor
A o1 mini quality floor is the minimum eval score o1 mini must achieve for a specific use case. Cheaper models that clea…
titan text inference
titan text inference is running the titan text model tier on live prompts in production. Cost scales with tokens; o10 ro…
titan text token pricing
titan text token pricing varies by venue. Gateway, committed capacity, and open-weight hosting. Compare $/1M rates befor…
titan text routing
titan text routing selects when production traffic should use titan text versus cheaper compliant tiers. Shadow mode pro…
titan text quality floor
A titan text quality floor is the minimum eval score titan text must achieve for a specific use case. Cheaper models tha…
OpenAI API inference
OpenAI API inference exposes models via per-token billing. o10 sits above OpenAI, routing to cheapest compliant supply a…
OpenAI committed capacity
OpenAI committed capacity reserves inference throughput at lower marginal $/token than on-demand API pricing. Ideal for …
OpenAI routing policy
OpenAI routing policy should pair eval floors and budget envelopes per call. o10 enforces routing and ledger in the requ…
OpenAI multi-model access
OpenAI multi-model access simplifies API integration but does not enforce spend envelopes. A control plane above OpenAI …
Anthropic API inference
Anthropic API inference exposes models via per-token billing. o10 sits above Anthropic, routing to cheapest compliant su…
Anthropic committed capacity
Anthropic committed capacity reserves inference throughput at lower marginal $/token than on-demand API pricing. Ideal f…
Anthropic routing policy
Anthropic routing policy should pair eval floors and budget envelopes per call. o10 enforces routing and ledger in the r…
Anthropic multi-model access
Anthropic multi-model access simplifies API integration but does not enforce spend envelopes. A control plane above Anth…
Amazon Bedrock API inference
Amazon Bedrock API inference exposes models via per-token billing. o10 sits above Amazon Bedrock, routing to cheapest co…
Amazon Bedrock committed capacity
Amazon Bedrock committed capacity reserves inference throughput at lower marginal $/token than on-demand API pricing. Id…
Amazon Bedrock routing policy
Amazon Bedrock routing policy should pair eval floors and budget envelopes per call. o10 enforces routing and ledger in …
Amazon Bedrock multi-model access
Amazon Bedrock multi-model access simplifies API integration but does not enforce spend envelopes. A control plane above…
Google API inference
Google API inference exposes models via per-token billing. o10 sits above Google, routing to cheapest compliant supply a…
Google committed capacity
Google committed capacity reserves inference throughput at lower marginal $/token than on-demand API pricing. Ideal for …
Google routing policy
Google routing policy should pair eval floors and budget envelopes per call. o10 enforces routing and ledger in the requ…
Google multi-model access
Google multi-model access simplifies API integration but does not enforce spend envelopes. A control plane above Google …
OpenRouter API inference
OpenRouter API inference exposes models via per-token billing. o10 sits above OpenRouter, routing to cheapest compliant …
OpenRouter committed capacity
OpenRouter committed capacity reserves inference throughput at lower marginal $/token than on-demand API pricing. Ideal …
OpenRouter routing policy
OpenRouter routing policy should pair eval floors and budget envelopes per call. o10 enforces routing and ledger in the …
OpenRouter multi-model access
OpenRouter multi-model access simplifies API integration but does not enforce spend envelopes. A control plane above Ope…
Mistral API inference
Mistral API inference exposes models via per-token billing. o10 sits above Mistral, routing to cheapest compliant supply…
Mistral committed capacity
Mistral committed capacity reserves inference throughput at lower marginal $/token than on-demand API pricing. Ideal for…
Mistral routing policy
Mistral routing policy should pair eval floors and budget envelopes per call. o10 enforces routing and ledger in the req…
Mistral multi-model access
Mistral multi-model access simplifies API integration but does not enforce spend envelopes. A control plane above Mistra…
Azure OpenAI API inference
Azure OpenAI API inference exposes models via per-token billing. o10 sits above Azure OpenAI, routing to cheapest compli…
Azure OpenAI committed capacity
Azure OpenAI committed capacity reserves inference throughput at lower marginal $/token than on-demand API pricing. Idea…
Azure OpenAI routing policy
Azure OpenAI routing policy should pair eval floors and budget envelopes per call. o10 enforces routing and ledger in th…
Azure OpenAI multi-model access
Azure OpenAI multi-model access simplifies API integration but does not enforce spend envelopes. A control plane above A…
Together AI API inference
Together AI API inference exposes models via per-token billing. o10 sits above Together AI, routing to cheapest complian…
Together AI committed capacity
Together AI committed capacity reserves inference throughput at lower marginal $/token than on-demand API pricing. Ideal…
Together AI routing policy
Together AI routing policy should pair eval floors and budget envelopes per call. o10 enforces routing and ledger in the…
Together AI multi-model access
Together AI multi-model access simplifies API integration but does not enforce spend envelopes. A control plane above To…
Support Assistant inference cost
Support Assistant inference cost depends on token volume (12.0B/mo), model tier, and venue. Eval-gated routing to compli…
Support Assistant routing
Support Assistant routing should target the cheapest model clearing your eval-defined quality floor, not a global defaul…
Support Assistant eval suite
A Support Assistant eval suite replays representative production traffic to define the quality floor. Continuous evals c…
Support Assistant shadow savings
Support Assistant shadow savings are verified by mirroring production traffic without changing routes. Building a CFO-tr…
RAG Summarization inference cost
RAG Summarization inference cost depends on token volume (31.5B/mo), model tier, and venue. Eval-gated routing to compli…
RAG Summarization routing
RAG Summarization routing should target the cheapest model clearing your eval-defined quality floor, not a global defaul…
RAG Summarization eval suite
A RAG Summarization eval suite replays representative production traffic to define the quality floor. Continuous evals c…
RAG Summarization shadow savings
RAG Summarization shadow savings are verified by mirroring production traffic without changing routes. Building a CFO-tr…
Code Assistant inference cost
Code Assistant inference cost depends on token volume (8.4B/mo), model tier, and venue. Eval-gated routing to compliant …
Code Assistant routing
Code Assistant routing should target the cheapest model clearing your eval-defined quality floor, not a global default f…
Code Assistant eval suite
A Code Assistant eval suite replays representative production traffic to define the quality floor. Continuous evals catc…
Code Assistant shadow savings
Code Assistant shadow savings are verified by mirroring production traffic without changing routes. Building a CFO-trust…
Batch Classification inference cost
Batch Classification inference cost depends on token volume (64.0B/mo), model tier, and venue. Eval-gated routing to com…
Batch Classification routing
Batch Classification routing should target the cheapest model clearing your eval-defined quality floor, not a global def…
Batch Classification eval suite
A Batch Classification eval suite replays representative production traffic to define the quality floor. Continuous eval…
Batch Classification shadow savings
Batch Classification shadow savings are verified by mirroring production traffic without changing routes. Building a CFO…
Fraud Detection inference cost
Fraud Detection inference cost depends on token volume (6.2B/mo), model tier, and venue. Eval-gated routing to compliant…
Fraud Detection routing
Fraud Detection routing should target the cheapest model clearing your eval-defined quality floor, not a global default …
Fraud Detection eval suite
A Fraud Detection eval suite replays representative production traffic to define the quality floor. Continuous evals cat…
Fraud Detection shadow savings
Fraud Detection shadow savings are verified by mirroring production traffic without changing routes. Building a CFO-trus…
Clinical Summarization inference cost
Clinical Summarization inference cost depends on token volume (4.1B/mo), model tier, and venue. Eval-gated routing to co…
Clinical Summarization routing
Clinical Summarization routing should target the cheapest model clearing your eval-defined quality floor, not a global d…
Clinical Summarization eval suite
A Clinical Summarization eval suite replays representative production traffic to define the quality floor. Continuous ev…
Clinical Summarization shadow savings
Clinical Summarization shadow savings are verified by mirroring production traffic without changing routes. Building a C…
Knowledge Search inference cost
Knowledge Search inference cost depends on token volume (30.0B/mo), model tier, and venue. Eval-gated routing to complia…
Knowledge Search routing
Knowledge Search routing should target the cheapest model clearing your eval-defined quality floor, not a global default…
Knowledge Search eval suite
A Knowledge Search eval suite replays representative production traffic to define the quality floor. Continuous evals ca…
Knowledge Search shadow savings
Knowledge Search shadow savings are verified by mirroring production traffic without changing routes. Building a CFO-tru…
AI Agents inference cost
AI Agents inference cost depends on token volume (18.0B/mo), model tier, and venue. Eval-gated routing to compliant mini…
AI Agents routing
AI Agents routing should target the cheapest model clearing your eval-defined quality floor, not a global default fronti…
AI Agents eval suite
A AI Agents eval suite replays representative production traffic to define the quality floor. Continuous evals catch dri…
AI Agents shadow savings
AI Agents shadow savings are verified by mirroring production traffic without changing routes. Building a CFO-trusted ba…
Real-Time Classification inference cost
Real-Time Classification inference cost depends on token volume (22.0B/mo), model tier, and venue. Eval-gated routing to…
Real-Time Classification routing
Real-Time Classification routing should target the cheapest model clearing your eval-defined quality floor, not a global…
Real-Time Classification eval suite
A Real-Time Classification eval suite replays representative production traffic to define the quality floor. Continuous …
Real-Time Classification shadow savings
Real-Time Classification shadow savings are verified by mirroring production traffic without changing routes. Building a…
Document Summarization inference cost
Document Summarization inference cost depends on token volume (22.0B/mo), model tier, and venue. Eval-gated routing to c…
Document Summarization routing
Document Summarization routing should target the cheapest model clearing your eval-defined quality floor, not a global d…
Document Summarization eval suite
A Document Summarization eval suite replays representative production traffic to define the quality floor. Continuous ev…
Document Summarization shadow savings
Document Summarization shadow savings are verified by mirroring production traffic without changing routes. Building a C…
Translation inference cost
Translation inference cost depends on token volume (9.5B/mo), model tier, and venue. Eval-gated routing to compliant min…
Translation routing
Translation routing should target the cheapest model clearing your eval-defined quality floor, not a global default fron…
Translation eval suite
A Translation eval suite replays representative production traffic to define the quality floor. Continuous evals catch d…
Translation shadow savings
Translation shadow savings are verified by mirroring production traffic without changing routes. Building a CFO-trusted …
Data Extraction inference cost
Data Extraction inference cost depends on token volume (14.0B/mo), model tier, and venue. Eval-gated routing to complian…
Data Extraction routing
Data Extraction routing should target the cheapest model clearing your eval-defined quality floor, not a global default …
Data Extraction eval suite
A Data Extraction eval suite replays representative production traffic to define the quality floor. Continuous evals cat…
Data Extraction shadow savings
Data Extraction shadow savings are verified by mirroring production traffic without changing routes. Building a CFO-trus…
Content Moderation inference cost
Content Moderation inference cost depends on token volume (28.0B/mo), model tier, and venue. Eval-gated routing to compl…
Content Moderation routing
Content Moderation routing should target the cheapest model clearing your eval-defined quality floor, not a global defau…
Content Moderation eval suite
A Content Moderation eval suite replays representative production traffic to define the quality floor. Continuous evals …
Content Moderation shadow savings
Content Moderation shadow savings are verified by mirroring production traffic without changing routes. Building a CFO-t…
Recommendation Copy inference cost
Recommendation Copy inference cost depends on token volume (7.8B/mo), model tier, and venue. Eval-gated routing to compl…
Recommendation Copy routing
Recommendation Copy routing should target the cheapest model clearing your eval-defined quality floor, not a global defa…
Recommendation Copy eval suite
A Recommendation Copy eval suite replays representative production traffic to define the quality floor. Continuous evals…
Recommendation Copy shadow savings
Recommendation Copy shadow savings are verified by mirroring production traffic without changing routes. Building a CFO-…
User Onboarding inference cost
User Onboarding inference cost depends on token volume (5.5B/mo), model tier, and venue. Eval-gated routing to compliant…
User Onboarding routing
User Onboarding routing should target the cheapest model clearing your eval-defined quality floor, not a global default …
User Onboarding eval suite
A User Onboarding eval suite replays representative production traffic to define the quality floor. Continuous evals cat…
User Onboarding shadow savings
User Onboarding shadow savings are verified by mirroring production traffic without changing routes. Building a CFO-trus…
Prompt Engineering Cost
Prompt engineering cost is inference spend driven by system prompts, retrieval context, and template changes. Often invi…
Retry Policy Inference
Retry policy inference multiplies token spend when failed completions re-run automatically. Envelope enforcement caps re…
Embedding Cost
Embedding cost accrues on every vectorization call in RAG and search stacks. Unified routing optimizes embeddings and ge…
Fine-Tuning vs Routing
Fine-tuning changes model weights; routing changes which model serves each request. Routing to cheaper compliant tiers o…
Inference Latency SLA
Inference latency SLA sets p95 targets per use case. Routing must balance cost against latency, not optimize tokens alon…
Model Distillation
Model distillation trains smaller models from larger teachers. In production, routing to mini tiers that clear eval floo…
Speculative Decoding
Speculative decoding uses draft models to accelerate generation. Cost still scales with tokens. Routing draft and target…
KV Cache Inference
KV cache inference reuses attention state across tokens, reducing latency. Per-call ledger still records fully loaded co…
Multi-Tenant Inference
Multi-tenant inference shares infrastructure across customers. Per-tenant envelopes and quality floors prevent one tenan…
Inference Chargeback
Inference chargeback allocates token spend to teams or products. Immutable per-call ledgers make chargeback defensible t…
GPU Inference Cost
GPU inference cost covers owned or reserved compute for open-weight models. At volume, marginal $/token often beats API …
Serverless Inference
Serverless inference bills per request without managing GPUs. Burst-friendly but volatile unit cost. Crossover to commit…
Inference Benchmarking
Inference benchmarking compares models on latency, cost, and eval scores. o10 benchmarks run continuously on production …
Model Card Governance
Model card governance documents model capabilities and risks. KYI risk pillar incorporates model card signals into compo…
Inference SLO
Inference SLO defines reliability targets for model serving. Breaches trigger routing fallbacks, with cost implications …
Token Budget Envelope
A token budget envelope caps spend per use case, team, or time window. Enforce mode holds envelopes on every request, no…
Inference Observability Gap
The inference observability gap is reporting spend after accrual without changing the next route. Control planes close t…
LLM Caching
LLM caching stores repeated prompt responses to cut token cost. Routing and caching compose. Cheapest compliant route st…
Structured Output Inference
Structured output inference constrains completions to schemas. Eval floors must validate structure, not just fluency, be…
Tool Calling Inference
Tool calling inference adds function-call tokens to agent workloads. Per-step routing prevents frontier defaults on ever…
uk data residency inference
uk data residency is the industry requirement that inference data stay in approved jurisdictions. o10 does not enforce u…
uk AI compliance
uk AI compliance often covers residency, retention limits, approved models, and audit trails. o10 enforces eval floors, …
eu data residency inference
eu data residency is the industry requirement that inference data stay in approved jurisdictions. o10 does not enforce e…
eu AI compliance
eu AI compliance often covers residency, retention limits, approved models, and audit trails. o10 enforces eval floors, …
ksa data residency inference
ksa data residency is the industry requirement that inference data stay in approved jurisdictions. o10 does not enforce …
ksa AI compliance
ksa AI compliance often covers residency, retention limits, approved models, and audit trails. o10 enforces eval floors,…
us data residency inference
us data residency is the industry requirement that inference data stay in approved jurisdictions. o10 does not enforce u…
us AI compliance
us AI compliance often covers residency, retention limits, approved models, and audit trails. o10 enforces eval floors, …
uae data residency inference
uae data residency is the industry requirement that inference data stay in approved jurisdictions. o10 does not enforce …
uae AI compliance
uae AI compliance often covers residency, retention limits, approved models, and audit trails. o10 enforces eval floors,…
singapore data residency inference
singapore data residency is the industry requirement that inference data stay in approved jurisdictions. o10 does not en…
singapore AI compliance
singapore AI compliance often covers residency, retention limits, approved models, and audit trails. o10 enforces eval f…
india data residency inference
india data residency is the industry requirement that inference data stay in approved jurisdictions. o10 does not enforc…
india AI compliance
india AI compliance often covers residency, retention limits, approved models, and audit trails. o10 enforces eval floor…
australia data residency inference
australia data residency is the industry requirement that inference data stay in approved jurisdictions. o10 does not en…
australia AI compliance
australia AI compliance often covers residency, retention limits, approved models, and audit trails. o10 enforces eval f…
canada data residency inference
canada data residency is the industry requirement that inference data stay in approved jurisdictions. o10 does not enfor…
canada AI compliance
canada AI compliance often covers residency, retention limits, approved models, and audit trails. o10 enforces eval floo…
germany data residency inference
germany data residency is the industry requirement that inference data stay in approved jurisdictions. o10 does not enfo…
germany AI compliance
germany AI compliance often covers residency, retention limits, approved models, and audit trails. o10 enforces eval flo…
france data residency inference
france data residency is the industry requirement that inference data stay in approved jurisdictions. o10 does not enfor…
france AI compliance
france AI compliance often covers residency, retention limits, approved models, and audit trails. o10 enforces eval floo…
japan data residency inference
japan data residency is the industry requirement that inference data stay in approved jurisdictions. o10 does not enforc…
japan AI compliance
japan AI compliance often covers residency, retention limits, approved models, and audit trails. o10 enforces eval floor…
brazil data residency inference
brazil data residency is the industry requirement that inference data stay in approved jurisdictions. o10 does not enfor…
brazil AI compliance
brazil AI compliance often covers residency, retention limits, approved models, and audit trails. o10 enforces eval floo…
mexico data residency inference
mexico data residency is the industry requirement that inference data stay in approved jurisdictions. o10 does not enfor…
mexico AI compliance
mexico AI compliance often covers residency, retention limits, approved models, and audit trails. o10 enforces eval floo…
south korea data residency inference
south korea data residency is the industry requirement that inference data stay in approved jurisdictions. o10 does not …
south korea AI compliance
south korea AI compliance often covers residency, retention limits, approved models, and audit trails. o10 enforces eval…
Inference gateway vs aggregator
Inference gateway vs aggregator is a common architecture decision affecting fully loaded cost and governance. o10 routes…
Inference api vs committed
Inference api vs committed is a common architecture decision affecting fully loaded cost and governance. o10 routes acro…
Inference cloud vs open weight
Inference cloud vs open weight is a common architecture decision affecting fully loaded cost and governance. o10 routes …
Inference frontier vs mini
Inference frontier vs mini is a common architecture decision affecting fully loaded cost and governance. o10 routes acro…
Inference sonnet vs haiku
Inference sonnet vs haiku is a common architecture decision affecting fully loaded cost and governance. o10 routes acros…
Inference batch vs streaming
Inference batch vs streaming is a common architecture decision affecting fully loaded cost and governance. o10 routes ac…
Inference synchronous vs async
Inference synchronous vs async is a common architecture decision affecting fully loaded cost and governance. o10 routes …
Inference centralized vs edge
Inference centralized vs edge is a common architecture decision affecting fully loaded cost and governance. o10 routes a…
Inference vendor lock in risk
Inference vendor lock in risk is a common architecture decision affecting fully loaded cost and governance. o10 routes a…
Inference multi cloud failover
Inference multi cloud failover is a common architecture decision affecting fully loaded cost and governance. o10 routes …
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