| Service Type | Setup Fee Range | Monthly Retainer | Avg Margin | Best For |
|---|---|---|---|---|
| 💬 Chatbot / Assistant | $1,500–$5,000 | $500–$1,500/mo | 65–75% | SMBs, e-commerce, service cos |
| 📧 Email Automation | $2,000–$6,000 | $750–$2,000/mo | 60–72% | Coaches, SaaS, agencies |
| 🎯 Lead Generation Bot | $3,000–$8,000 | $1,000–$3,000/mo | 55–70% | Real estate, insurance, finance |
| ✍️ Content Automation | $2,500–$7,500 | $800–$2,500/mo | 65–80% | Content creators, media, blogs |
| 🏢 Full Office Automation | $8,000–$35,000 | $2,500–$7,500/mo | 45–65% | Mid-market, growing teams |
| ⚙️ Custom AI Agent | $5,000–$25,000 | $1,500–$5,000/mo | 50–70% | Tech cos, SaaS, operations |
| 📱 Social Media Automation | $1,500–$4,500 | $600–$1,800/mo | 70–82% | Brands, coaches, ecommerce |
| 📢 ChatGPT Ads Management (EU) | $1,500–$5,000 | 15–25% of ad spend ($2K–$7.5K/mo floor) | 55–70% | SMB advertisers targeting the EU rollout (Aug 24, 2026 — 31 markets); agency-led buying window |
* Ranges reflect 2026 US market rates. Final pricing depends on complexity, client size, and your experience level. Model strategy affects margins more than list prices: open-weight stacks (Qwen 3.8 Max at $2/$6 per 1M tokens, Kimi K3, GLM-5.2) cut the compute line vs. paid frontier APIs. GPT-5.6 Sol (Aug 6, 2026) now powers both Instant and deep reasoning for ChatGPT Plus/Pro — one consistent model with a reasoning-effort slider; GPT-5.6 Luna is the new default for Free/Go users (unlimited text chats rolling out this week/next week). NEW Aug 22, 2026: OpenAI published official GPT-5.6 Sol API pricing Aug 21, 2026 — $4/$20 per 1M input/output tokens (cached input $0.40 per 1M), a promotional rate valid Aug 21 – Nov 21, 2026 (down from $5/$30; API + eligible ChatGPT Work/Codex credits; ChatGPT Pro/Plus/Business subscription pricing unchanged) — verify current rates at OpenAI pricing before quoting.
Agent workflows rarely run clean the first time. On Aug 5, 2026, levelsio (Pieter Levels) reported burning $500 per Gauntlet Loop run — an AI-coding method that fans out subagents and loops until "utterly perfect" — then corrected it to $900 total with 95% of generated code removed. Measured baselines are ~$0.06 per request and "a few dollars per task"; failure modes (retry storms, subagent fan-out, silent misconfiguration) turn that into $500 loops and $2,000 overnight bills. Use this estimator to model what retries actually add to your spend.
On Aug 25, 2026 OpenAI launched Premium seats for ChatGPT Business (announced August 2026) — a higher-usage seat tier for teams that outgrow Standard. Premium seats cost $125 per user per month billed monthly, or $100 per user per month billed annually (a 20% annual discount); Standard Business seats remain $25 per user/month, or $20 billed annually. Premium includes 5x more usage than Standard, is not subject to the five-hour usage limit, and gets predictable weekly usage resets. A workspace needs at least 2 paid seats (any mix of Standard + Premium) and, since Aug 24, 2026, caps at 200 paid seats per subscription; larger deployments move to ChatGPT Enterprise (sales-led). Model a client's seat line here, then add it to the retainer math above.
Google Cloud's new managed model routing (API Gateway, Public Preview since Aug 3, 2026) accepts your existing OpenAI-compatible chat requests, inspects the model name in each payload, and routes the call to a cheaper foundation model — with no client-side code changes. This estimator shows the potential token-cost savings from routing simple traffic to Gemini Flash-Lite instead of paying Flash/Pro rates for everything.
On August 3, 2026 Google Cloud added managed model routing to API Gateway (Public Preview). It accepts OpenAI-compatible chat requests, transcodes them in-flight, and dispatches them to Gemini, Anthropic Claude, or OpenAI models hosted in Vertex AI Model Garden. Google positions it as a managed replacement for self-hosted proxies like LiteLLM — no proxy server to host, scale, or maintain.
Routing is driven by the model name in each request payload. You define a router with a default model plus rules mapping client model strings to cheaper backends — unmatched traffic falls back to the default. Example: send all traffic to Flash, set the default to Flash-Lite, and route only complex/agentic requests to Flash. Google's own examples use google/gemini-3.5-flash-lite, google/gemini-2.5-pro, anthropic/claude-opus-4-7, and openai/gpt-oss-120b-maas.
Using Google's published list prices: a content agency sending 50M input + 10M output tokens/mo to Flash at $165/mo could route 80% to Flash-Lite and drop to ~$65/mo — ≈ $100/mo (~61%) saved. A multi-tier client setup on 2.5 Pro at $212.50/mo with 70% budget-tier traffic could drop to ~$100.85/mo — ≈ $111.65/mo (~53%) saved. A 5% fallback-traffic leak onto Flash-Lite instead of Flash saves ~$16/mo on that slice alone. Token volumes and split percentages are assumptions; substitute your own usage.
- Public Preview: text-only, name-based routing to MaaS models in Model Garden; request-side streaming, gRPC, WebSockets, Gemini Live, VPC-SC, and Private Service Connect unsupported.
- One-way mode: you cannot retrofit routing onto an existing gateway or remove it — switching requires a new API config + gateway.
- Single-host constraint: all models in one router must share the same hostname (global or one regional endpoint).
- Pricing gap: no model-routing-specific fee was found in the reviewed sources; confirm your exact model versions and region before quoting a client.
- No per-request observability yet: routing decisions aren't attributed per request in logs during preview.
- API Gateway — Overview of model routing (Google Cloud docs)
- API Gateway — Configure model routing (Google Cloud docs)
- Google Developers Blog — A unified API for AI model routing
- Vertex AI — Generative AI pricing (Gemini token rates)
- API Gateway pricing (per-call tiers)
- Google Cloud release notes (Aug 3, 2026)
- TLDR AI — Aug 5, 2026 issue
- API Gateway quotas and limits
2026-09-01: Updated the Claude Fable 5 model strategy → Claude Fable 5.1 (Anthropic GA Sept 1, 2026; API id claude-fable-5-1): same $10/$50 per 1M list but cache reads cut 75% to $0.25/1M, 1M-token context, 128K max output. Added Claude Mythos 5.1 context: same underlying model, cyber/bio-tuned safeguards, trusted access only (CVP/LSVP) — not GA. Cache-gap FAQ updated: the 276x headline compared Fable 5's $1.00 to DeepSeek launch pricing; current gap vs Fable 5.1 is ~11x off-peak / ~6x peak. FAQ item + FAQPage schema entry, meta description/keywords, changelog entry. Source: Anthropic — Claude Fable 5.1 and Mythos 5.1 (Sept 1, 2026) + platform pricing docs (verified Sept 1, 2026). 2026-08-25: Added a Meta Hatch consumer AI agent comparison row — new Consumer AI Agent Pricing section with an 8-field comparison table (provider, product, price, billing, availability, model, category, source). Meta Hatch: $199.99/mo premium tier — REPORTED, pending confirmation (The Information Jun 4 + Aug 24, 2026, via PYMNTS/RuntimeWire; final pricing NOT set; not shipped as of Aug 25, 2026), monthly billing, launching in coming weeks (late Aug–early Sep 2026 target), Watermelon model targeted for October 2026, consumer AI agent category — compared against ChatGPT Plus ($20/mo), ChatGPT Pro ($100–$200/mo) and Claude Max (up to $200/mo). Price-update mechanism documented in an HTML comment + site CHANGELOG; analytics task t_ecfe7f64 monitors sources for official pricing. FAQ item + FAQPage schema entry, meta description/keywords, assumptions footer note, changelog entry. Full explainer: Meta Hatch AI Agent Price: What Consumer AI Agents Cost (verified via parent research t_b6570320). 2026-08-25: Added the ChatGPT Business Seat Cost Estimator — a new section modeling Standard vs Premium seats with OpenAI's verified list prices (Premium $125/user/mo monthly / $100 annual (20% discount); Standard $25/$20), billing cadence (monthly vs annual), seat count (2-seat min / 200-seat cap), and the usage-multiplier assumptions (Premium = 5x more usage than Standard, no five-hour limit, weekly resets). Example: 10 Premium seats billed annually = $1,000/month ($12,000/yr); billed monthly = $1,250/month. Premium seats are now a calculator input — the Aug 10/12 "budget separately" note is superseded. Verified via parent research brief t_642ada39 (7 sources, 34 evidence quotes; announced August 2026, official launch Aug 25, 2026). FAQ item + FAQPage schema entry, meta tags, assumptions footer, changelog entry. New explainer: ChatGPT Business Premium Seats Pricing (2026). 2026-08-23: Added a Codex 20M users / banked reset note + FAQ entry: Codex and ChatGPT Work crossed 20 million active users the week of Aug 21, 2026 (up from 15M a week earlier), and OpenAI credited every paid user a banked reset (saved usage-limit credit that resets both 5-hour and weekly windows when redeemed). The reset rollout missed its Aug 21 deadline; OpenAI set a firmer 8pm PST same-evening deadline that also passed for many users, then announced a new reset for 2026-08-24T21:00:00Z (2pm PST) after finding usage inefficiencies. No calculator-logic change and no price change — plan list prices stand (Plus $20, Pro 5x $100, Pro 20x $200, Business per seat, API usage-based); the milestone is a capacity/billing-clarity story, not a price input. FAQ item + FAQPage schema entry, meta description/keywords, changelog entry. New explainer: Codex Pricing 2026: Plans, Limits & Banked Reset for Agencies (companion: Codex Just Hit 20 Million Users — Find AI Agency; verified via research brief t_72fe5cf1). 2026-08-22: Added a ChatGPT Ads (EU) pricing preset — new Service Type option "📢 ChatGPT Ads Management (EU)" with labeled inputs (monthly ad spend, management fee %) shown when selected, plus a sourced assumptions box. OpenAI expands ChatGPT Ads to 31 European markets Aug 24, 2026 (40 total); ads run on Free + Go tiers only (Go ≈ €8/mo); buying is agency-led first (OpenAI Ads Solutions + agency/tech partners; self-serve Ads Manager later this summer). Pricing model: setup $1,500–$5,000 + management fee 15–25% of ad spend, floored at $2,000/mo and capped at $7,500/mo (ad spend is pass-through — client pays OpenAI; the fee is the agency's revenue). Margin 62% base. FAQ item + FAQPage schema entry, meta description/keywords, Pricing Reference Table row, assumptions footer (date → Aug 22), changelog entry. Sources: OpenAI (Aug 18, 2026) · Search Engine Land · Dataconomy · Euronews (verified via research brief t_ff98639f). 2026-08-21: New explainer AI Client Communication Workflow: What It Costs to Automate Client Texts — OpenAI's Apple Messages plugin (Aug 20, 2026) lets ChatGPT read, search, summarize, draft, and send iMessage/SMS/RCS on Apple silicon Macs in ChatGPT Work/Codex. The plugin itself is plan-inclusive; the real cost line items are hardware (Apple silicon per seat), Work/Codex seats priced into retainer math, and compliance review (OpenAI has not documented exactly which message content leaves the machine or published managed-Mac admin guidance). No calculator-logic change — this is a client-communication workflow cost lens, not a token-price input. Sources: OpenAI release notes (Aug 20, 2026) + OpenAI Codex plugin docs + 9to5Mac/Engadget/MacRumors/TechCrunch/TNW/Unite.AI/Yahoo (verified via research brief t_c7d9dc7e). 2026-08-20: Added a Claude Code 50% weekly usage-limit boost note + FAQ entry: Anthropic extended the promo through August 31, 2026 (11:59 PM PT) — the third extension since the May 13, 2026 launch — and for the first time said it hopes to make the boost permanent while warning capacity may be tight (announced Aug 18, 2026 via @ClaudeDevs; widely reported Aug 19). Boost applies automatically to Pro, Max (5x/20x), Team, and legacy seat-based Enterprise; excludes Free and consumption-based Enterprise seats; Claude Code only (CLI, IDE, desktop, web) — 5-hour session limits, Claude chat, Claude Cowork unchanged; weekly limits "return to their standard levels" after Aug 31. No calculator-logic change — the boost is a seat-plan weekly-quota layer, and this calculator models API/token and project pricing, not seat-based subscriptions. FAQ item + FAQPage schema entry, changelog entry. Example math: Max 5x at $100/mo delivers 1.5× weekly quota through Aug 31 ≈ $150/mo equivalent at standard limits. Sources: Anthropic Help Center — Claude Code May–August 2026 weekly limits promotion · @ClaudeDevs (Aug 18, 2026) (verified via research brief t_4e969eaa). 2026-08-20: Added the OpenAI safety-monitoring overhead stress-test toggle — a visible checkbox in the Model Strategy section (OFF by default) that applies a +20% multiplier to OpenAI-based strategies (GPT-5.6 Sol, Paid frontier). Basis (verified via research brief t_b34197c5): OpenAI's official post (Aug 18, 2026) estimates its expanded chain-of-thought safety monitoring adds roughly 20% overhead to the inference compute it monitors — required for all RL training/eval involving tools for models of Sol capability or higher, plus all Astra inference with tools after the Aug 7 Critical-cyber determination; OpenAI is NOT currently billing customers for this overhead (spokesperson via The Register, Aug 19, 2026; corroborated TNW — not stated in the official post), and Anthropic says its safeguards make a similar slowdown unnecessary (Axios, Aug 19, 2026). The toggle is a what-if cost stress, not a price change: no default outputs change (OFF by default); the output note explains when it applies vs. not; FAQ item + FAQPage schema entry, meta description/keywords, assumptions footer (date → Aug 20), changelog entry. Sources: OpenAI (Aug 18, 2026) · The Register (Aug 19, 2026) · TNW (Aug 19, 2026) · Axios (Aug 19, 2026). 2026-08-19: Added an AI supplier risk note + FAQ entry: on Aug 18, 2026 OpenAI announced a two-week pause in RL training on its latest deployment-bound models and held its largest planned frontier RL run on hold after internal evaluations flagged its upcoming Astra model at the "Critical" cyber-capability threshold under its Preparedness Framework (core training continued; no model cancelled; no API price changes — calculator math unchanged). Guidance: include fallback AI models and review provider tooling roadmaps when evaluating AI costs/risks. FAQ item + FAQPage schema entry, assumptions footer, changelog entry. Source: OpenAI (Aug 18, 2026) (verified via research brief t_bb45d771). Updated Aug 19 (eve): supplier-risk FAQ now also notes OpenAI's committed 2027 public listing (CFO Sarah Friar, CNBC Aug 19) de-risks vendor longevity on a known timeline; new explainer OpenAI's 2027 IPO Window: Re-Baseline Your Cost Assumptions. Updated Aug 20: Anthropic now expects to match or top SpaceX's record IPO (~$75B outset / $86.2B w/ overallotment) and could file by end of August at a valuation just under $1T (Bloomberg Aug 20) — the pre-IPO window is the Claude pricing-risk zone; new explainer Anthropic's Record IPO: Stress-Test Your Claude Cost Assumptions. 2026-08-16: Added the DeepSeek V4 Pro vs Claude Fable 5 cache-read comparison — DeepSeek's official peak/off-peak pricing landed 16:00 UTC Aug 16 (off-peak V4 Pro: $0.022 cache read / $0.66 miss / $1.98 output per 1M; peak: $0.044/$1.32/$3.96), superseding the pre-hike schedule. Fable 5 (Anthropic): $10/$50 per 1M with $1.00 cache reads. The ~276x cache-read gap from @JulianGoldieSEO was correct on DeepSeek launch pricing ($1.00/$0.003625) but is stale after the increase — current gap ~45x off-peak / ~23x peak; the 92% cache hit rate is an assumption, not a published OpenRouter statistic. Full interactive scenario on the main calculator page (verified via research brief t_40deadfe). 2026-08-06: Added Qwen 3.8 Max to the open-weight model strategy (GA Aug 2–3, 2026; 2.4T-param MoE, ~95B active; $2/$6 per 1M tokens; 1M context; open weights promised ~Aug 10). Real-world usage section added with the Aug 6, 2026 45-project field report — self-reported, no artifacts; the "destroyed Fable 5" claim was walked back by the tester (Qwen strong on fast/multimodal builds; Fable 5 on huge long-running projects). Transparent cost-variability note added: API list prices are public, but self-hosted cost is hardware/quantization-dependent and not yet knowable until weights drop.
2026-08-06: Added GPT-5.6 Sol as a selectable model strategy (frontier, Instant + deep reasoning) with a clearly marked estimate and link to OpenAI's pricing page — OpenAI announced Sol now powers both Instant and deep reasoning for Plus/Pro, and GPT-5.6 Luna becomes the default for Free/Go users (unlimited text chats rolling out this week/next week). No official per-token API pricing published for either model; assumptions date/source now included in calculator output.
2026-08-05: Added Gemini API cost & model routing savings estimator and explainer (Google Cloud managed model routing, Public Preview Aug 3, 2026). Pricing sourced from Google's published Vertex AI / API Gateway list prices; scenario figures are illustrative (directional).
Open-weight models are now a real alternative to paid frontier APIs. Alibaba's Qwen 3.8 Max (GA Aug 2–3, 2026; 2.4T-parameter MoE, ~95B active, 1M-token context) prices at $2 per 1M input tokens and $6 per 1M output tokens — the cheapest open frontier-class API on this page — with open weights live on Hugging Face since Aug 12, 2026 (Qwen/Qwen3.8-2.4T-A95B, plus an FP8 variant; official Qwen3.8-Max License: separate license required only for MaaS or AI Work Assistant businesses above $50M/12mo aggregate revenue). Moonshot's Kimi K3 — a 2.8T-parameter open-weight mixture-of-experts model (~104B active, 1M-token context, weights live on Hugging Face since July 27, 2026) — prices at $3 per 1M input tokens and $15 per 1M output tokens, a fraction of flagship paid APIs, while scoring within a few points of Claude Fable 5.1 and GPT-5.6 Sol on vendor-run coding benchmarks. Zhipu's GLM-5.2 (open weights, MIT license, 1M-token context) is the strongest open-source coding model on Terminal-Bench 2.1. NEW Aug 26, 2026: the anonymous Ox Alpha model that topped OpenRouter usage was confirmed as GLM-5.3-Flash — 320B/18B MoE, natively multimodal, 1M context, MIT weights live, official API pricing at $0.15/$0.50 per 1M tokens (50% promo $0.075/$0.25 through Sep 9, 2026), roughly one-tenth of the flagship GLM-5.3 rate and below DeepSeek V4 Pro off-peak on both axes. See the full GLM-5.3-Flash pricing analysis on the main calculator page.
Real-world agency usage so far: Qwen 3.8 Max's headline marketing claim — "autonomous coding over 10+ days" — is an official claim, not yet independently replicated, and its Fable 5-beating ranking has been disputed by independent benchmark testing. The most-cited hands-on test so far (Aug 6, 2026, an agency-community builder with ~172K followers) reports building 45 real projects while ignoring benchmarks — 3D racing games, RPGs, websites, a full OS, a promo video, and autonomous workflows — with mixed results: some demos were poor, several builds looked better than Fable 5, and every project took only a few hours. The same tester's follow-up explicitly walked back the "destroyed Fable 5" framing: Qwen 3.8 Max shone on fast, multimodal, image-guided builds (including a single-file premium landing page), while Claude Fable 5 stayed stronger on huge, long-running projects that need consistency across massive contexts. Treat these as first-person, self-reported results with no linked artifacts or independent replication — useful as a delivery-speed datapoint, not as a benchmark.
Cost variability for open-weight models: published API list prices (Qwen 3.8 Max $2/$6, Kimi K3 $3/$15 per 1M tokens) are real, but total cost depends heavily on how you run the model. Qwen 3.8 Max's weights are now downloadable (live on Hugging Face since Aug 12, 2026), so self-hosting cost varies with hardware (DGX Spark-class vs cloud GPUs), quantization (MXPF4 vs full precision), context length, and utilization — plus the Qwen3.8-Max License layer (separate license only above $50M/12mo for MaaS or AI Work Assistant businesses). Agencies that self-host trade a variable per-token bill for fixed hardware cost — the crossover point depends on your monthly token volume. Until you benchmark your own workloads, treat self-hosted cost as a range, not a fixed number.
What this means for agencies: model strategy is now a pricing lever. The calculator's Model Strategy selector reflects it — open-weight stacks trim the compute line (and lift margins ~5 pts), frontier-only stacks carry a premium. Keep workflows model-portable across at least two providers, benchmark on your own workloads (vendor tables are not your client's workload), and treat AI spend as a managed line item, not a fixed cost.
Sources: Alibaba — Qwen 3.8 Max blog · QwenCloud — Qwen 3.8 Max pricing · 45-project field report (X, Aug 6 2026) · Moonshot — Kimi K3 blog · Kimi K3 API pricing · HF model card — moonshotai/Kimi-K3 · zai-org/GLM-5
Meta is preparing to launch Hatch, its consumer AI agent that takes multi-step actions (shopping, email, calendar, booking) across apps like DoorDash, Etsy, Reddit, Yelp and Outlook, with launch targeted for late August or early September 2026 and a new model codenamed Watermelon targeted for October. The premium tier is priced up to $199.99/month — REPORTED, not official: The Information reports Meta has considered it, final pricing is not set, and Hatch has not shipped as of Aug 25, 2026. For agencies the $200 anchor matters because it is the consumer price point clients will compare your retainer against — not the same number as your per-agent infrastructure cost. Full explainer: Meta Hatch AI Agent Price: What Consumer AI Agents Cost →
| Provider | Product | Price | Billing | Availability | Model | Category | Source |
|---|---|---|---|---|---|---|---|
| Meta | Hatch (reported) Full breakdown → |
$199.99/mo — pending confirmation | Monthly | Launching in coming weeks (late Aug – early Sep 2026 target) | Watermelon (targeted October 2026) | Consumer AI agent | The Information via RuntimeWire → |
| OpenAI | ChatGPT Plus | $20/mo | Monthly | Available now | GPT-5.6 Sol / Luna | Consumer AI assistant | openai.com → |
| OpenAI | ChatGPT Pro | $100–$200/mo (5× / 20× usage tiers) | Monthly | Available now | GPT-5.6 Sol | Consumer AI assistant | openai.com → |
| Anthropic | Claude Max | Up to $200/mo | Monthly | Available now | Claude (Fable 5.1-class) | Consumer AI assistant | anthropic.com → |
* Meta Hatch price is REPORTED, pending confirmation — The Information (Jun 4 + Aug 24, 2026, via PYMNTS and RuntimeWire) reports Meta has considered a premium tier up to $199.99/month for Hatch ("Hatch Plus", 5–10× daily capacity of the free tier). Final pricing is NOT set, and Hatch has not shipped as of Aug 25, 2026. ChatGPT / Claude prices are current list prices as of Aug 25, 2026.
Agency takeaway: a consumer subscription is not an agency infrastructure cost — model the workload, not the sticker price. See Meta Hatch AI Agent Price: What Consumer AI Agents Cost for the full analysis, or run the AI Agent API Cost Calculator for per-agent workload math.