# AICostBench.com — Full-Stack AI & Workflow Cost Calculator
> Empirical unit-economics, break-even crossover math, and hidden fee audits for B2B workflow orchestration (n8n, Make.com, Zapier, Pipedream), LLM APIs & MCP tool schemas (OpenAI, Claude 3.7 Sonnet, Gemini 2.5, DeepSeek-V3/R1), Voice AI stacks (Retell, Vapi, Bland, ElevenLabs), and RAG infrastructure (Firecrawl, Jina Reader, Supabase pgvector, Pinecone).

## Core Mathematical Findings (Verified 2026-11-04)
- **n8n Cloud vs Make.com Crossover:** Make Core ($10.59/10k ops) exceeds n8n Cloud Starter ($24.00/2.5k runs) at 21,364 monthly operations (`BreakEvenRuns = 21364 / (1 + baseNodes + loopItems * nodesInsideLoop)`).
- **MCP Tool Schema Overhead:** Each MCP tool averages 420–480 JSON schema tokens. 15 tools across a 5-turn agent loop inject ~36,000 hidden input tokens per task. Enabling Prompt Caching cuts multi-turn LLM spend by 76%–85%.
- **Gemini 2.5 Pro 200k Cliff:** Crossing 200,000 input tokens doubles the rate of ALL input tokens from $1.25/1M to $2.50/1M.
- **Voice AI True Stack Cost:** Vapi's $0.05/min fee excludes STT ($0.012), LLM ($0.025), ElevenLabs TTS ($0.042), and SIP ($0.014), totaling $0.143/min vs Retell AI's $0.125/min.

## Core Category Guides
- [B2B Workflow Orchestration True-Cost Audit (2026): n8n vs Make vs Zapier vs Pipedream](https://aicostbench.com/guides/automation-workflow-cost-audit/): Make.com ($10.59/10k ops) is cheaper than n8n Cloud ($24/2.5k runs) ONLY when your workflow executes fewer than 8.5 total operations per trigger. Once a single Webhook passes a 25-item JSON array through an Iterator with 4 downstream modules (102 ops/run), Make.com's effective bill jumps 8.4x higher than n8n at 10,000 monthly runs ($1,203.60/mo vs $60.00/mo on n8n Pro or $14.50/mo on Self-Hosted Queue VPS).
- [LLM API & Agent Token Economics (2026): OpenAI vs Claude vs Gemini vs DeepSeek](https://aicostbench.com/guides/llm-agent-token-economics/): In multi-turn ReAct agents with 12+ MCP tools attached, 68% to 79% of your monthly LLM invoice is spent re-sending identical JSON tool schemas on every reasoning step—NOT user text. Enabling Anthropic/OpenAI Prompt Caching on a 5-turn Claude 3.7 Sonnet agent drops 10,000 monthly task runs from $1,341.00/mo down to $318.50/mo (-76.2%).
- [Voice AI Agent True Per-Minute Cost Audit (2026): Retell vs Vapi vs Bland vs Realtime API](https://aicostbench.com/guides/voice-ai-agent-unit-economics/): Never budget Voice AI using headline platform fees ($0.05–$0.07/min). Once you unbundle Deepgram STT ($0.012), LLM tokens ($0.025), ElevenLabs Turbo TTS ($0.042), Twilio SIP ($0.014), and 60-second rounding rules, true production cost lands between $0.125/min (Retell modular) and $0.334/min (OpenAI Realtime API without context truncation).
- [AI Data, Web Scraping & Vector DB Cost Audit (2026): Firecrawl vs Jina & Supabase vs Pinecone](https://aicostbench.com/guides/rag-scraping-vector-db-cost/): For under 500,000 vectors (1536-dim), Supabase Pro ($25/mo + $15 compute add-on) beats Pinecone Serverless Standard ($50/mo minimum floor). For AI web scraping, Jina Reader ($0.02/1M tokens) is 4.8x cheaper than Firecrawl on static documentation, while Firecrawl ($19/3k pages) wins on anti-bot SPA pages requiring headless browser actions.

## Head-to-Head Break-Even Comparisons
- [n8n vs Make.com Pricing Audit (2026): Exact Break-Even & Iterator Loop Multiplier](https://aicostbench.com/compare/n8n-vs-make-pricing-break-even/): Make.com Core ($10.59/mo for 10,000 operations) is cheaper than n8n Cloud Starter ($24.00/mo for 2,500 workflow executions) ONLY below 21,364 monthly operations. In a workflow with a 30-item Iterator feeding 4 modules (123 ops/run), Make crosses the $24 break-even threshold at just 173 runs/month—and at 5,000 runs/month, Make costs $724.49 vs $39.00 on n8n Cloud.
- [n8n Cloud vs Self-Hosted VPS (2026): True 12-Month TCO & Queue Mode Benchmark](https://aicostbench.com/compare/n8n-cloud-vs-self-hosted-tco/): n8n Self-Hosted on a 2-vCPU / 4GB ARM64 VPS with Postgres + Redis Queue Mode costs $14.50/mo flat up to 250,000 executions, saving $546/year vs n8n Cloud Pro ($60/mo for 10k runs) and $9,426/year vs n8n Business ($800/mo for 40k runs). However, teams under 2,500 runs/month without Linux/Docker expertise should stay on n8n Cloud Starter ($24/mo) to avoid self-inflicted SQLite disk-full outages.
- [Make.com vs Zapier Pricing Audit (2026): Per-Operation vs Per-Task Bill Shock](https://aicostbench.com/compare/make-vs-zapier-2026-cost-audit/): Make.com is 6.8x to 14.2x cheaper than Zapier for active event-driven workflows (at 10,000 4-step runs: Make costs $48.35/mo vs Zapier's $733.50/mo). The ONLY scenario where Zapier beats Make is a low-volume workflow (<150 events/month) using a 1-minute polling trigger, because Zapier does not bill for empty polling checks whereas Make burns 43,200 operations/month polling every minute.
- [n8n vs Pipedream Pricing Audit (2026): Execution Credits vs 30s Memory Compute](https://aicostbench.com/compare/n8n-vs-pipedream-compute-credits/): Pipedream Advanced ($29/mo for 2,000 credits) is ideal for sub-5-second Node.js/Python webhook glue, where 1 run = 1 credit regardless of internal code loops. However, when calling slow Reasoning LLMs (DeepSeek-R1 / o3-mini taking 65 seconds) or raising worker memory to 1GB (4x multiplier), a single Pipedream invocation burns 12 credits ($0.12/run), making n8n Cloud ($0.006/run) 20x cheaper.
- [Claude 3.7 Sonnet vs GPT-4o Cost Audit (2026): Multi-Turn Agent & Prompt Cache Math](https://aicostbench.com/compare/claude-3-7-sonnet-vs-gpt-4o-agent-cost/): On uncached single-turn calls, GPT-4o ($2.50/1M in, $10/1M out) is 20%–33% cheaper than Claude 3.7 Sonnet ($3.00/1M in, $15/1M out). However, in a 6-turn Agent with 15 MCP tools (9,200 static prefix tokens) and an 85% cache hit rate, Claude 3.7 Sonnet's 90% cache read discount ($0.30/1M) vs GPT-4o's 50% discount ($1.25/1M) makes Claude 24% cheaper on input-heavy agent loops!
- [DeepSeek-V3 vs GPT-4o-mini Cost Audit (2026): High-Volume Production Unit Economics](https://aicostbench.com/compare/deepseek-v3-vs-gpt-4o-mini-unit-economics/): GPT-4o-mini ($0.15/1M in, $0.60/1M out) is 44% cheaper than uncached DeepSeek-V3 ($0.27/1M in, $1.10/1M out) on raw list price. However, when disk KV-caching hits >= 80% on large system prompts, DeepSeek-V3's cached input drops to $0.07/1M—slightly beating GPT-4o-mini's $0.075/1M cached input while delivering frontier-class 671B MoE reasoning.
- [Gemini 2.5 Pro vs Claude 3.7 Sonnet (2026): Long-Context & The 200k-Token Cliff Audit](https://aicostbench.com/compare/gemini-2-5-pro-vs-claude-3-7-sonnet-long-context/): At 190,000 input tokens, Gemini 2.5 Pro ($1.25/1M) costs $0.237 per call vs Claude 3.7 Sonnet's $0.570 (Gemini is 58% cheaper). But adding just 15,000 tokens to cross 205,000 tokens triggers Google's 2x cliff multiplier on the ENTIRE prompt ($2.50/1M), jumping the single call cost from $0.237 to $0.512 (+116% for 7.8% more text)!
- [OpenAI o3-mini vs DeepSeek-R1 Cost Audit (2026): The Hidden Reasoning Token Tax](https://aicostbench.com/compare/openai-o3-mini-vs-deepseek-r1-reasoning-tax/): Although visible output may only be 250 tokens of JSON, reasoning models generate 1,500 to 4,200 hidden `<think>` / `reasoning_tokens` billed at full output price ($4.40/1M on o3-mini, $2.19/1M on DeepSeek-R1). DeepSeek-R1 is 50.2% cheaper per reasoning token than o3-mini, while o3-mini with `reasoning_effort: low` beats unconstrained DeepSeek-R1 on latency-sensitive workflows.
- [MCP Server Token Bloat Audit (2026): How 15 Tools Add $380/1k Agent Runs](https://aicostbench.com/compare/mcp-tool-calling-token-bloat-audit/): Connecting 4 standard MCP servers (GitHub 26 tools + Slack 12 tools + Postgres 6 tools + Playwright 14 tools = 58 tools) injects 26,840 input tokens of JSON Schema into EVERY single LLM request. In a 5-turn agent loop on Claude 3.7 Sonnet without Prompt Caching, MCP tool schemas alone cost $0.402 per task ($402.60 per 1,000 runs) before the user types a single word!
- [Retell AI vs Vapi.ai Pricing Audit (2026): True Unbundled Per-Minute Voice Cost](https://aicostbench.com/compare/retell-ai-vs-vapi-true-per-minute-cost/): While Vapi advertises a $0.05/min platform fee vs Retell's $0.07/min base, Retell bundles Deepgram STT into its base rate whereas Vapi passes STT ($0.012/min), TTS ($0.042/min), LLM ($0.025/min), and Telephony ($0.014/min) through separate provider bills. At 10,000 minutes/month with ElevenLabs voices, Retell AI totals $1,250/mo ($0.125/min) vs Vapi's $1,430/mo ($0.143/min)—making Retell 12.6% cheaper with 1 consolidated invoice.
- [Vapi.ai vs Bland AI Cost Audit (2026): 60-Second Rounding & Unanswered Outbound Tax](https://aicostbench.com/compare/vapi-vs-bland-ai-outbound-dial-tax/): On paper, Bland AI ($0.09/min) looks 37% cheaper than a full Vapi stack ($0.143/min). In reality, for an outbound B2B campaign dialing 20,000 leads where 60% go unanswered and connected calls average 75 seconds, Bland AI's $0.015 unanswered dial fee + 60-second rounding inflates effective cost by +48.2%, making per-second Vapi or Retell cheaper for short qualification calls.
- [OpenAI Realtime API vs ElevenLabs Conversational AI (2026): Audio Token Accumulation Audit](https://aicostbench.com/compare/openai-realtime-api-vs-elevenlabs-conversational/): ElevenLabs Conversational AI ($0.09–$0.124/min with telephony) is 58% to 74% cheaper than OpenAI GPT-4o Realtime API ($0.30+/min) on calls lasting longer than 3 minutes. Because OpenAI Realtime API bills per audio token and re-sends accumulated conversation audio on every turn, a 10-minute un-truncated call snowballs to $2.45+ ($0.245–$0.38/min effective) vs $1.10 on ElevenLabs.
- [Firecrawl vs Jina Reader API Cost Audit (2026): RAG Web Scraping at 100k Pages/Mo](https://aicostbench.com/compare/firecrawl-vs-jina-reader-scraping-cost/): At 50,000 standard documentation/article URLs per month (averaging 2,200 tokens/page), Jina Reader (`r.jina.ai`) costs just $2.20/mo vs $99.00/mo on Firecrawl Growth (Jina is 97.7% cheaper). However, on Cloudflare-protected SPAs or pages requiring click/scroll interaction and structured JSON extraction, Firecrawl's headless browser infrastructure succeeds where Jina returns empty shells.
- [Supabase pgvector vs Pinecone Serverless (2026): 1M Vectors RAM & Read Unit TCO](https://aicostbench.com/compare/supabase-pgvector-vs-pinecone-serverless-tco/): For startups with <500,000 vectors and relational metadata joins, Supabase Pro ($25/mo + $15 Small Compute = $40/mo) beats Pinecone Serverless Standard ($50/mo minimum commitment) and eliminates dual-database sync complexity. Above 2,000,000 1536-dim vectors with low query QPS (<5 queries/sec), Pinecone Serverless ($16–$55/mo storage + read units) becomes cheaper than provisioning a 16GB RAM dedicated Postgres instance ($110+/mo) on Supabase.
- [Zapier to n8n Migration ROI Calculator (2026): 50,000-Task Agency Cost Reduction Blueprint](https://aicostbench.com/compare/zapier-to-n8n-migration-roi-calculator/): A B2B agency or SaaS running 50,000 Zapier tasks/month across 5-step workflows (10,000 runs/month) pays $733.50/mo ($8,802/year) on Zapier Professional. Migrating those exact 10,000 workflow runs to n8n Cloud Pro ($60/mo) saves $8,082/year (-91.8%), or $8,628/year (-98.0%) on n8n Self-Hosted ($14.50/mo), paying back a 12-hour engineering migration in under 19 days.