// Cost intelligence for the inference layer

Know the cost of intelligence.

Map your real architecture onto live rates from every major provider, model and delivery mode, and see what your AI will actually cost before you build it.

Get early access → // no card, no signup
Studio // building a cost architecture 0/5 models chosen
parallel branches · 100% routed
1 chatbot/general pick model
2a rag/support pick model
2b agentic/tools pick model
2c classify/route pick model
3 summarize/batch pick model
● Running estimate $0 / mo corridor — ≈ $— per conversation · blended $—/1M tok
Delivery mix set on step 5
Compute lanes API · self-hosted GPU H100 80GB · CoreWeave · 3-yr
01 // What it prices

Price the architecture, not a prompt.

Real AI apps are phases and parallel branches, and every node can run on a different model and a different delivery mode — pay-per-token, batch, provisioned, cached, or your own GPUs. That's where the money actually moves, and it's what per-token calculators can't see.

Cost Architecture // the map you build
PARALLEL BRANCHES · 100% ROUTED 1 chatbot Sonnet 4.6 2a rag/support Llama 3.3 70B 2b agentic/tools Qwen3 235B A22B 2c classify/route Llama 3.1 8B 3 summarize Sonnet 4.6
// each node carries its own workload shape, model and delivery mode — costs roll up to one number
your architecture
Model / versionTokens / moUsed in DeliverySpend / mo
Claude Sonnet 4.6 Anthropic
 1.28B$5.71/1M 13 $0
Llama 3.3 70B GPU Self-hosted
 738M$0.42/1M 2a $0
Qwen3 235B A22B GPU Self-hosted
 792M$0.55/1M 2b $0
Llama 3.1 8B GPU Self-hosted
 141M$0.06/1M 2c $0
Model spend · month 1 2.95B   $0
// same five nodes, same traffic, same token counts — only the model and delivery choices change
REQUESTS / MO TOKENS / MO PHASES SPEND / MO 120k requests chatbot · rag · agentic First-pass 2.66B tok Loop + retry 292M tok 5 nodes 2a·2b·2c fan-out LOOP + RETRY ×3.2 · 292M TOK RECIRCULATED $10,339 / mo ✓ WITHIN QUOTE · $9,120 – $11,890
// stress-test it: loop depth, retry rate, and a harness regression that silently multiplies calls
// the quote adds tool schemas, hidden costs and production overhead on top of model spend
chatbot/general · per conversation rag · support copilot · per ticket agentic workflow · per task batch summarization · per document code assistant · per request classification · per record
02 // Why you can trust it

An honest range beats a confident guess.

Every estimate ships with a corridor whose width reflects how much you actually told us. Answer the quick pass in minutes for a wide, honest range; keep going and watch it tighten. Precision comes from supplying information — never from a tool declaring confidence it hasn't earned.

// nine steps, or four with the rest applied as badged defaults

Corridor // narrows as you answer ±13% at full depth
quick + routing + tools full ±31% ±13% $10,339
parametercache_hit_rate · rag/support
default72% · band 58 – 84%
sources14 · blogs, papers, practitioner threads
registrydefaults@2026-08-03 · 2d ago
// every default carries its sources and a freshness date — you never inherit a hardcoded guess
03 // What you do with it
quote$10,339 / mo
corridor$9,120 – $11,890
assumptions pinned14
volume120k req/mo · locked
cache hit rate72% · locked
tool calls / task6 ± 2 · locked
countersignedbuyer ✓ · seller ✓

Lock the assumptions, not just the quote.

shipping with early access

Every AI cost dispute starts the same way: the quote was right, but the assumptions moved. Infermaven pins what sits underneath a number — volumes, cache rates, tool-call counts — and both sides countersign. When reality drifts, you renegotiate the assumption, not the relationship.

// locked quotes export as an OTEL monitoring schema, and feed the anonymized benchmark pool behind Insights

04 // Pricing

Free lands the quote. Studio helps you optimize. Insights moves you toward the efficient frontier.

Every tier produces honest numbers — corridors are never paywalled. What you buy is depth, memory, and the market view.

// Quote & TCO

Free

for sellers & buyers on a deal
$0
  • Steps 1–4, with the rest applied as badged defaults
  • Model Explorer — live prices, every delivery mode
  • Assumption locks — buyer and seller countersign
  • Countersigning always free & unlimited
Get early access →
// The practitioner's workbench

Studio

for engineers & FDEs
$79 / seat / mo
// early-access pricing — locked 12 months
  • everything in Free, and:
  • Full depth: sensitivities, tools, hidden costs, architecture
  • Quality benchmarks in Model Explorer — licensed from Artificial Analysis
  • Saved quotes & portfolio comparison
  • OTEL schema export mapped to your cost architecture
Get early access →
// The market view

Insights

for FinOps & engineering leaders
$500 / org / mo
  • everything in Studio, and:
  • Benchmarks from real locked quotes, recency-weighted
  • Quartiles by workload shape, industry & region
  • Sample sizes always shown — no quartile without its n
Join the beta →

Price your AI before you build it.

Early access opens in cohorts. Join the list and we'll run your first TCO estimate with you — free, hands-on, no commitment.

// joining the list means we’ll email you about your cohort. nothing else, unless you tick the box.