How Much Does AI Content Generation Cost per Month?

At production volume (40,000 calls/month), the cheapest effective option is Llama 3.1 8B at $4.50/month. The most expensive frontier option, GPT-5.4 Pro, runs $11,712/month — Content generation flips the usual shape: a short brief in, a long piece of writing out — so the output price and verbosity matter more here than anywhere else in this cluster.

How much does content generation cost per month?

At production volume (40,000 calls/month), the cheapest effective option for content generation is Llama 3.1 8B at $4.50 per month, verbosity-adjusted rather than list price. The most expensive frontier model, GPT-5.4 Pro, runs $11,712 per month for the same workload.

Verified 2026-08-08
Cheapest ≠ best. This page ranks by effective cost only.

Token shape

Shapetiny brief in, long piece out
Input / output tokens per call0K in / 2K out
Cacheable input0%
Batch-eligibleYes

Input is a short brief or outline; output is a full article, email, or ad-copy set. Briefs are usually unique per call, so nothing here is cache-eligible.

Volume

Side project
4,000 calls/mo
$0.450/mo cheapest
Production
40,000 calls/mo
$4.50/mo cheapest
Scale
400,000 calls/mo
$44.96/mo cheapest

Ranked cost — Production volume (caching + batch applied where available)

ModelProviderList monthlyEffective monthlyVerbosityRank Δ
Llama 3.1 8BbudgetlegacyGroq$5.60$2.250.77×
Amazon Nova MicrobudgetAmazon$8.96$3.470.76×
Ministral 8BbudgetMistral$11.40$5.390.93×
Amazon Nova LitebudgetAmazon$15.36$7.100.92×
GPT-5 NanobudgetlegacyOpenAI$24.80$12.402
Gemini 2.5 Flash LitebudgetlegacyGoogle$25.60$12.802
Mistral Small 3.1budgetMistral$38.40$16.500.85×5
GPT-4o MinibudgetlegacyOpenAI$38.40$19.201
Grok-3 MinibudgetlegacyxAI$38.40$38.401
Llama 4 MaverickbudgetlegacyGroq$39.20$19.603
DeepSeek V4 FlashbudgetDeepSeek$19.04$45.922.60×6
CodestralbudgetMistral$58.80$23.730.79×4
Llama 3.3 70BbudgetlegacyGroq$56.84$23.920.81×2
GPT-OSS 20BbudgetGroq$19.20$26.972.93×8
GPT-5.4 NanobudgetlegacyOpenAI$78.20$31.220.79×4
Show all 63 models
GPT-OSS 120BbudgetGroq$38.40$34.141.83×5
GPT-5.6 LunabudgetOpenAI$75.20$37.601
Gemini 3.1 Flash LitebudgetlegacyGoogle$94.00$41.600.88×3
Gemini 3.5 Flash LitebudgetGoogle$94.00$47.001
Mistral Medium 3budgetMistral$126$53.600.84×3
GPT-OSS 120B (Cerebras)budgetCerebras$50.60$1102.33×7
GPT-5 MinibudgetlegacyOpenAI$124$62.00
Qwen 3.7 PlusmidQwen$133$1331
GLM-5.1midlegacyZ.ai$142$1421
Gemini 2.5 FlashbudgetlegacyGoogle$155$77.401
DeepSeek V4 ProbudgetDeepSeek$59.16$1803.31×9
Qwen 3.8 30BmidGroq$190$94.801
Qwen 3.6 27BmidlegacyGroq$190$94.801
Amazon Nova PromidAmazon$205$1022
Grok 4.3midxAI$170$2331.42×3
Grok-3midlegacyxAI$272$2721
o3-MinimidlegacyOpenAI$282$1411
GPT-5.4 MinimidlegacyOpenAI$282$1411
Gemini 3.1 FlashmidlegacyGoogle$282$1411
Claude Haiku 4.5midAnthropic$316$1582
Grok-4.20 ReasoningmidxAI$392$3922
Grok-4.20midxAI$392$3922
Mistral Large 3midMistral$392$1962
Qwen 3.8 MaxmidQwen$410$4102
Qwen 3.7 MaxmidQwen$410$4102
Gemini 3.1 PromidGoogle$752$2430.63×8
GPT-4.1midlegacyOpenAI$512$2561
Gemini 3.6 FlashmidGoogle$564$2821
Gemini 3.5 FlashmidlegacyGoogle$564$2821
GPT-5midlegacyOpenAI$620$3101
GPT-4omidlegacyOpenAI$640$3201
GPT-5.6 TerramidOpenAI$752$3761
GPT-5.4midlegacyOpenAI$940$4702
Claude Sonnet 4.6midAnthropic$948$4742
Claude Sonnet 4.5midlegacyAnthropic$948$4742
Claude Sonnet 4midlegacyAnthropic$948$4742
GLM-5.2midZ.ai$286$1,0443.87×16
GLM 4.7 (Cerebras)midCerebras$201$1,2827.55×23
Claude Opus 4.8midAnthropic$1,580$7600.96×
Claude Opus 4.7midlegacyAnthropic$1,580$790
Claude Opus 4.6midlegacyAnthropic$1,580$790
Claude Opus 4.5midlegacyAnthropic$1,580$790
GPT-5.6 SolfrontierOpenAI$1,880$940
GPT-4 TurbofrontierlegacyOpenAI$1,960$980
Claude Fable 5frontierAnthropic$3,160$1,580
Claude Opus 4.1frontierlegacyAnthropic$4,740$2,370
Claude Opus 4frontierlegacyAnthropic$4,740$2,370
GPT-5.4 ProfrontierlegacyOpenAI$11,280$5,8561.04×

Prompt caching assumes a 90% saving on the cacheable share of input — a stated modelling assumption, providers publish 75-90% off. See the full formula and coverage disclosure →

Related

Alternatives to Llama 3.1 8BLLM Chatbot cost →RAG Question Answering cost →

FAQ

Why does verbosity matter so much for content generation?
Output tokens are the overwhelming majority of the bill on this shape, so a model that writes 2x longer for the same brief pays roughly 2x more per piece.
Is batch processing realistic for content generation?
Yes for bulk campaigns (product descriptions, ad variants) generated ahead of time; not for on-demand, user-facing generation.