AI blog content cost: tokens, freelancers, agencies

A blog post costs somewhere between eight cents and six hundred dollars depending entirely on who or what writes it, and almost every comparison you will read is dishonest about the middle. Token-cost posts quote a number under a dollar and skip the human review that follows. Agency pages quote a retainer and skip what you were spending in founder time already. This is the whole picture, priced stage by stage.

Four numbers frame the range. Raw API tokens for one post: $0.08 to $1.95 depending on the model. A flat SaaS subscription: $49 to $999 a month. A freelancer at the 2026 survey average: about $630 for 1,500 words. A content agency retainer: $1,000 to $100,000 a month. The gap between the first and the last is five orders of magnitude for output that a reader may not be able to tell apart.

Pricing note. Every third-party price on this page was checked against the vendor's own published pricing on 20 August 2026. Vendors change prices, rename or retire tiers, and move to quote-only without notice, and published rates routinely differ by billing period, region, seat count, model and usage tier. Treat these figures as a point-in-time snapshot for comparison, not as a quote, and confirm on the vendor's own pricing page before you buy. Where a vendor has stopped publishing a price, this page says so rather than repeating an old one.

What a post costs in raw API tokens

A post is not one API call. It is a pipeline of stages, each a separate conversation with the model, and each spending input and output tokens at different rates. Costing it means breaking it apart the way it actually runs.

The four stages that spend tokens

Research. The model searches, reads competing pages, and pulls source material into context. Web search costs $10 per 1,000 queries on both Anthropic and OpenAI; web fetch has no fee. Every fetched page adds input tokens: Anthropic puts a 10 kB web page at about 2,500 tokens and a 100 kB documentation page at about 25,000.

Draft. The model reads the house style, the existing posts, and the research notes, then writes. Output tokens dominate here. For scale, the 2026 industry-average blog post runs about 1,427 words, up from 1,236 in 2023, and Backlinko finds top-ranking pages average 1,447 words.

Review. A second pass re-fetches every external link and checks every claim. Fetch-heavy on input, light on output, but it starts from a bigger base because it loads the whole draft first.

Iteration. The draft goes back with line comments. This is the stage with the most variance, because iteration count is the one variable not fixed by post length or source count.

The worked numbers, two models

Claude Sonnet 5 at $2 per million input and $10 per million output, for a roughly 1,700-word post:

The same 270K/20K workload across the current model lineup:

One apples-to-oranges warning, because most comparisons get this wrong: the Claude figure already includes the $0.06 search fee and the Terra figure does not. Add it and Terra is $0.84, marginally above Claude rather than below it.

Iteration is what actually moves the number. On Claude, one round is $0.80, two is about $0.95, three is about $1.10. That is the whole $0.60 to $1.10 range people quote, and it is a review-quality variable rather than a pricing one.

Prices moved twice in 2026, in opposite directions

On 30 July 2026 OpenAI cut GPT-5.6 Luna by 80% (from $1.00/$6.00 to $0.20/$1.20) and Terra by 20% (from $2.50/$15.00 to $2.00/$12.00), leaving Sol unchanged. OpenAI attributed the cut to engineering work in which the model rewrote its own production kernels, reporting a 20% reduction in the end-to-end cost of serving the model and a token-generation efficiency improvement of more than 15%.

On 10 August 2026 Anthropic made Sonnet 5's $2/$10 permanent, cancelling a scheduled 1 September rise to $3/$15. Any guide written before that date and quoting "$2/$10 through August 31" is stale.

Pareekh Jain, principal analyst at Pareekh Consulting, told InfoWorld what this actually changes: "Lower prices make it easier to move pilots into production, expand AI across more employees and business processes, and economically deploy more complex agentic workflows that require multiple model calls."

Three things that make the invoice bigger than the arithmetic

Multi-turn accumulation. A "four-stage" post is really dozens of API calls. Each turn in a tool-use loop resends the accumulated conversation, so a stage running ten turns pays for a growing context every turn.

Tool overhead. On Sonnet 5 the tool-use system prompt adds roughly 350 to 475 tokens per request, the bash tool 244 input tokens per request on Sonnet 4.6 and earlier (Anthropic publishes no Sonnet 5 figure), and the text editor tool 700 on Claude 4.x. None of that is the post.

Tokenizer drift. The tokenizer used by Sonnet 5 and Opus 4.7 and later produces about 30% more tokens for the same text than the one used by Sonnet 4.6 and earlier. A lower per-token rate does not automatically mean a lower per-post cost.

Pulling the other way, caching is substantial if your pipeline resends the same system prompt and style guide every turn. Anthropic charges 1.25x base input for a 5-minute cache write and 2x for an hour, with cache reads at 0.1x, so a 5-minute cache pays for itself after one read and an hourly cache after two. OpenAI's cached input reads are 90% cheaper on the GPT-5.6 line, though the discount varies by model elsewhere in its lineup. Anthropic's Batch API takes 50% off both sides if you can run async.

Tokens versus a flat subscription

None of the mainstream tools bill by the token, which is why their pricing cannot be compared to the numbers above without doing the division yourself.

Writesonic's Starter tier is the clearest illustration: $99 a month ($79 annual) for 15 articles works out at $5.27 to $6.60 per article, roughly five to eleven times the token cost of producing the same post.

That gap is not automatically a rip-off. A subscription buys CMS integrations, keyword tooling, support and a UI. Ritesh Shrivastav's framing is the useful one: "When that $15 drops to $2, the same $24 looks less like a product price and more like a markup." Indie Hackers calls the difference a "convenience tax," and puts a typical non-heavy user's actual API spend at $3 to $8 a month against a $20 subscription.

Worth knowing what sits underneath these prices. SaaStr reports Anthropic's gross margin at roughly −94% in 2024, projected to 50% for 2025 and 77% by 2028, and The Information reported in January 2026 that Anthropic cut its 2025 margin guidance to about 40% after third-party inference costs came in around 23% higher than expected. Bessemer's 2025 data puts application-layer AI companies at about 60% gross margin against a 75%+ traditional SaaS benchmark. Model tokens are close to a commodity; the margin has to come from somewhere.

What humans cost at the same volume

This is the comparison that matters, because nobody's real alternative to an AI pipeline is zero.

Freelancers. A January 2026 survey of 500 active freelance writers by bestwriting.com puts the average at $0.42 a word, roughly $630 for 1,500 words. The most common price band for that length is $250 to $399, chosen by 27% of 213 writers surveyed by Peak Freelance, though half of six-figure freelancers charge $1,000 or more and a quarter charge over $1,500. Hourly, the average across 350 writers is $53, splitting to $20 beginner, $41 intermediate and $85 expert for blog work. The Editorial Freelancers Association's 2026 rate chart, from 1,100+ respondents surveyed between November 2025 and January 2026, puts blog ghostwriting at 25 to 40 cents a word or $75 to $100 an hour.

Agencies. Clutch puts content marketing agency rates at $100 to $149 an hour across the US, Canada and Australia. Siege Media prices a high-impact post with original research and visuals at $1,500 to $6,000. Fractl's retainer bands run $1,000 to $10,000 a month for small-scale production, $10,000 to $50,000 for low-volume end-to-end, and $50,000 to $100,000 for high-volume. Draft.dev, at the technical end, states plans start at $9,000 a month with a three-month minimum commitment.

In-house. The trap here is loading. Benefits run 30.5% of total employee cost per BLS data, recruiting costs about $4,000 a hire, and a $70,000 base becomes roughly $100,000 fully loaded, about 1.4x. Fractl's fully loaded team costs run $86,500 to $191,000 for a small production team and $220,500 to $420,750 for a low-volume self-sufficient one. GTM8020 puts a four to five person content team at $450,000 to $550,000 a year, and Tapflare's 2025 benchmark puts a lean three to five person creative team at over $525,000.

The line nobody puts in the table is 1 to 3 hours of founder or manager time per post for briefing, answering clarifying questions and running two or three revision rounds. That is real cost in every row above, including the AI ones.

The reason these numbers are so rarely known is structural: content production is spread across salaries, retainers, tools and unlogged internal hours, so almost nobody has a single line item for it.

The payback math, done honestly

Payback in months equals the one-time switching cost divided by the monthly saving, where each side is fixed cost plus per-post cost times volume plus review hours times your loaded hourly rate.

A team paying a freelancer $300 a post with 30 minutes of review at $100 an hour is at $350 a post, $2,800 a month at eight posts. The same volume through a pipeline at $1.10 a post with 90 minutes of review is $151.10 a post, $1,208.80 a month. Monthly saving $1,591.20. Switching cost of four setup hours plus two extra review hours is $600. Payback lands at about 11 days.

Note the honest framing: the comparison is $2,800 against $1,208.80, not $2,800 against $8.80. The review time goes up, not down, because you are reviewing more carefully rather than trusting a byline.

Against other AI investments, content is unusually fast:

Median payback for content drafting fell from 7.8 months in 2024 to 4.2 in 2026 (Digital Applied). McKinsey's 340-deployment dataset shows a 16-month median with 210% ROI over three years. One caveat on all of it: only 19% of content marketers track AI-specific KPIs, and 84% of CEOs in Teneo's 2026 outlook expect positive AI returns to take longer than six months. Most of these payback figures are self-reported by teams who did not instrument the baseline.

What generative engine optimization costs on top

If you are also buying visibility in AI answers, the spread is wider than anything above: $10 a month to $50,000+, roughly 33x between a small-business retainer and an enterprise one.

Agency retainers, and the sources disagree meaningfully. WebFX puts full retainers at $1,500 to $50,000+ a month with its own GEO service from $3,000, and one-off audits or migrations at $5,000 to $50,000 per project. TeamAI splits small business at $1,500 to $5,000, mid-market at $5,000 to $25,000+ and enterprise at $25,000 to $50,000+. PageTraffic puts typical packages at $1,500 to $10,000 and complex enterprise at $30,000+, a $20,000 gap against the other two on the same tier. Sentaiment's assessment of parts of the market is that some vendors are "charging premium prices for what amounts to sophisticated guesswork."

Tooling, if you do it yourself: Semrush's AI visibility add-on at $165.17 to $455.67, Surfer at $79 to $999+, OmniSEO at $89 to $899+, Profound at $99 to $399+, and Ahrefs Brand Radar as a $398 to $699 module on top of a paid plan, which does not cover Claude. A tracker at $50 to $500 a month is the sensible starting point.

In-house is where the numbers get serious. A three-person team of strategist, technical SEO and content specialist costs $368,500 in a conservative year one per AIVO, or $420,000 to $450,000 per Discovered Labs, built from roughly $290,000 in base salaries plus $72,500 to $87,000 in benefits and $58,000 to $72,500 in recruitment fees. Tooling adds $3,950 to $10,000+ a year before anyone is paid.

Where this lands

Tokens are the cheapest input in content production and they are not the thing to optimise. At eight posts a month the model spend is under nine dollars; the review time attached to those posts is worth several hundred. Anyone selling you a decision based on per-token pricing is pointing at the wrong number.

The useful comparison is total cost per published, checked post, which means model or subscription cost, plus review hours at a loaded rate, plus the briefing and revision time you were already spending. Run that number for your real volume and the answer usually stops being close.

Lyra prices on the same logic: plans start free for three posts with no card, then $39 a month, and tokens run on your own Anthropic key at cost with no markup, so the model spend appears on your own invoice rather than inside ours. The full plan breakdown is here, and if you want the tool-by-tool version of the subscription comparison above, our 22 AI writing tools sorted by job has current pricing for each. For measuring what any of it returns, joining GSC and GA4 by landing page is the attribution setup worth doing first.

Every number on this page is a cost. The only one that matters is cost per post you were willing to publish, which is why Lyra's pipeline spends tokens on verification before you ever see the draft.

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