FOUNDED 2024 · ATHENS · GLOBAL
About ATOM
The Global Price Benchmark for AI Inference
Independent pricing intelligence for developers, analysts, and infrastructure buyers. Transparent methodology, deterministic indexing, weekly market intelligence across the global AI inference market.
OUR MISSION
Bringing Price Discipline to Inference
Why AI pricing intelligence matters
"Markets without pricing benchmarks always overpay, always misallocate, and always consolidate around whoever sets the price first."
AI inference is the fastest-growing market in technology, and it has been operating without a price benchmark. ATOM exists to change that. We build independent, transparent, normalized benchmarks that bring price discipline to the inference economy. Built on financial index methodology comparable to S&P Dow Jones, MSCI, and Bloomberg.
OUR PLATFORM
Three Layered Capabilities, One Intelligence Stack
How ATOM is architected
Access
Three channels for delivering market intelligence to different professional contexts.
MCPTerminalFeedWeekly coverageAPI access
Intelligence
Analytical engine that transforms raw pricing into structured, queryable market knowledge.
TaxonomyClassificationNormalizationBenchmark indexesMarket KPIsVolatility compositesVendor analysisModel analysisSKU analysisCompetitive rankings
Indexing
Data infrastructure that tracks the global inference market with zero variance.
Automated extractionChange detectionVendor monitoringPrice verificationMulti-modality coverageDeterministic parsing
COVERAGE AT A GLANCE
The Numbers Behind ATOM
Live counts pulled from production
80,335
Datapoints
5,524
SKUs
3,370
Models
51
Vendors
9
Countries
OUR INDEXES & KPIs
32 Measures Across the Platform
1 composite volatility index, 16 price benchmarks, 9 market KPIs, 6 model KPIs
— COMPOSITE
AIPI COMPOSITE · 1
Inference Price Volatility
The flagship cross-modality index measuring price movement across all tracked SKUs. A single number representing the global state of inference pricing, updated continuously as the underlying data refreshes.
— 16 PRICE BENCHMARKS
MODALITY · 7
Per-Format Indexes
Text, Multimodal, Image, Audio, Video, Voice, Embedding. One benchmark per modality, isolating format-specific market dynamics.
CHANNEL · 4
Distribution Channels
Direct API, Cloud Marketplace, Inference Platform, Neocloud. The same models compared across distinct points of sale.
TIER · 4
Capability Tiers
Frontier, Mid-tier, Budget, Reasoning. Vertical segmentation by capability and price point.
LICENSING · 1
Open vs Proprietary
The cost advantage of open-source and open-weight models, measured across all distribution channels.
— 9 MARKET KPIs
COST METRICS
Output Premium · Caching Discount · OSS Discount
Three cost-structure metrics derived from live pricing data, measuring the fundamental economics of inference workloads.
STRUCTURE METRICS
Context Cost · Model Size Spread · Reasoning Premium
Three structural metrics measuring market hierarchy: how price scales with context window, model size, and reasoning capability.
CHANNEL ECONOMICS
Platform Discount · Neocloud Discount · Caching Availability
Three channel-economics metrics measuring the arbitrage between distribution pathways and the pricing delta between providers.
— 6 MODEL INTELLIGENCE KPIs
CAPABILITY MIX
Reasoning Share · Long-Context Saturation · Modality Breadth
Three capability-mix metrics from the model registry: the share of text models that are reasoning-tier, the share shipping 128K+ context windows, and the median number of modalities the typical vendor offers.
CEILINGS & FRESHNESS
Frontier Context Ceiling · Output Ceiling Spread · Training Cutoff Lag
Three structural metrics: the context multiplier between top-decile and median models, the output-token ceiling spread, and the median months between a model's training cutoff and today.
FROM THE FOUNDER
"I spent 25 years helping technology companies figure out how to price their products and services. Then I realized the fastest-growing infrastructure market in the world had no pricing benchmark of its own. Markets without pricing benchmarks always overpay, always misallocate, and always consolidate around whoever sets the price first."
OUR PRINCIPLES
What Guides Every Index
Three principles, no exceptions
Objectivity
No sponsorships. No pay-to-play. Every vendor is indexed the same way, with the same rigor.
Precision
Deterministic extraction. Every SKU is normalized and verified, ensuring comparable units of measurement.
Transparency
Our methodology is public. Our data sources are documented. The index speaks for itself.
What ATOM does not do. No vendor sponsorships. No pay-to-play index inclusion. No commercial relationships influencing methodology.
WHO IT'S FOR
Built for Professionals Who Price AI
Developers, analysts, engineers
ATOM MCPLearn more →
Developers & AI Agents
Compare GPT-4o vs Claude Opus pricing inline as you switch models. Live inference data inside Claude, Cursor, and Windsurf.
ATOM TERMINALLearn more →
Analysts & FinOps Teams
Track which vendor cut prices this week, see how your spend benchmarks against the market, surface arbitrage opportunities.
ATOM FEEDLearn more →
Engineering & Quant Teams
Build cost-aware routing logic with SKU-level fields. Pipe pricing data directly into your inference orchestration.
