How Much Does an Agentic Tool-Use Loop Cost per Month?

At production volume (25,000 calls/month), the cheapest effective option is Amazon Nova Micro at $27.38/month. The most expensive frontier option, GPT-5.4 Pro, runs $29,232/month — An agent task is not one call — it is a chain of several small round-trips (plan, call a tool, read the result, decide the next step), and the per-task cost is the sum of the whole chain.

How much does agentic tool loop cost per month?

At production volume (25,000 calls/month), the cheapest effective option for agentic tool loop is Amazon Nova Micro at $27.38 per month, verbosity-adjusted rather than list price. The most expensive frontier model, GPT-5.4 Pro, runs $29,232 per month for the same workload.

Verified 2026-08-08
Cheapest ≠ best. This page ranks by effective cost only. See our graded results for this task on Best LLM For →

Token shape

Shapemany small round-trips per completed task
Input / output tokens per call3K in / 0K out × 8 turns
Cacheable input70%
Batch-eligibleNo

"callsPerMonth" here counts completed tasks, each made of 8 model round-trips (plan → tool call → observe, repeated). Tool schemas and growing scratchpad context make most of each turn's input cacheable.

Volume

Side project
2,500 calls/mo
$2.74/mo cheapest
Production
25,000 calls/mo
$27.38/mo cheapest
Scale
250,000 calls/mo
$274/mo cheapest

Ranked cost — Production volume

ModelProviderList monthlyEffective monthlyVerbosityRank Δ
Amazon Nova MicrobudgetAmazon$29.40$14.150.76×
Llama 3.1 8BbudgetlegacyGroq$34.80$33.700.77×
Amazon Nova LitebudgetAmazon$50.40$26.570.92×
GPT-5 NanobudgetlegacyOpenAI$54.00$35.10
Gemini 2.5 Flash LitebudgetlegacyGoogle$84.00$46.201
GPT-OSS 20BbudgetGroq$63.00$97.742.93×1
Ministral 8BbudgetMistral$99.00$98.370.93×
Mistral Small 3.1budgetMistral$126$1210.85×4
GPT-4o MinibudgetlegacyOpenAI$126$69.30
Grok-3 MinibudgetlegacyxAI$126$126
DeepSeek V4 FlashbudgetDeepSeek$101$74.762.60×3
GPT-OSS 120BbudgetGroq$126$1561.83×1
Llama 4 MaverickbudgetlegacyGroq$156$156
GPT-5.4 NanobudgetlegacyOpenAI$195$1040.79×1
GPT-5.6 LunabudgetOpenAI$192$1161
Show all 63 models
CodestralbudgetMistral$234$2230.79×
Gemini 3.1 Flash LitebudgetlegacyGoogle$240$1350.88×1
Gemini 3.5 Flash LitebudgetGoogle$240$1461
GPT-5 MinibudgetlegacyOpenAI$270$1761
GPT-OSS 120B (Cerebras)budgetCerebras$255$3152.33×1
Gemini 2.5 FlashbudgetlegacyGoogle$330$2171
Mistral Medium 3budgetMistral$360$3410.84×1
Llama 3.3 70BbudgetlegacyGroq$401$3920.81×1
DeepSeek V4 ProbudgetDeepSeek$313$2693.31×3
GLM-5.1midlegacyZ.ai$492$492
Qwen 3.8 30BmidGroq$540$540
Qwen 3.6 27BmidlegacyGroq$540$540
Qwen 3.7 PlusmidQwen$600$600
Amazon Nova PromidAmazon$672$370
GPT-5.4 MinimidlegacyOpenAI$720$437
Gemini 3.1 FlashmidlegacyGoogle$720$437
Claude Haiku 4.5midAnthropic$900$5221
o3-MinimidlegacyOpenAI$924$5081
Grok 4.3midxAI$900$9631.42×2
Qwen 3.8 MaxmidQwen$1,344$1,3441
Qwen 3.7 MaxmidQwen$1,344$1,3441
GPT-5midlegacyOpenAI$1,350$8781
Grok-3midlegacyxAI$1,440$1,4401
Gemini 3.6 FlashmidGoogle$1,440$8731
Gemini 3.5 FlashmidlegacyGoogle$1,440$8731
Grok-4.20 ReasoningmidxAI$1,560$1,5602
Grok-4.20midxAI$1,560$1,5602
Mistral Large 3midMistral$1,560$1,5602
Gemini 3.1 PromidGoogle$1,920$8980.63×4
GPT-4.1midlegacyOpenAI$1,680$9241
GLM-5.2midZ.ai$1,104$1,8623.87×11
GPT-5.6 TerramidOpenAI$1,920$1,164
GPT-4omidlegacyOpenAI$2,100$1,1551
GPT-5.4midlegacyOpenAI$2,400$1,4551
GLM 4.7 (Cerebras)midCerebras$1,515$2,5967.55×8
Claude Sonnet 4.6midAnthropic$2,700$1,566
Claude Sonnet 4.5midlegacyAnthropic$2,700$1,566
Claude Sonnet 4midlegacyAnthropic$2,700$1,566
Claude Opus 4.8midAnthropic$4,500$2,5500.96×
Claude Opus 4.7midlegacyAnthropic$4,500$2,610
Claude Opus 4.6midlegacyAnthropic$4,500$2,610
Claude Opus 4.5midlegacyAnthropic$4,500$2,610
GPT-5.6 SolfrontierOpenAI$4,800$2,910
GPT-4 TurbofrontierlegacyOpenAI$7,800$4,020
Claude Fable 5frontierAnthropic$9,000$5,220
Claude Opus 4.1frontierlegacyAnthropic$13,500$7,830
Claude Opus 4frontierlegacyAnthropic$13,500$7,830
GPT-5.4 ProfrontierlegacyOpenAI$28,800$17,8921.04×

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 Amazon Nova MicroLLM Chatbot cost →RAG Question Answering cost →

FAQ

Why 8 turns per task?
A representative agent task (research, then act, then verify) typically chains several tool calls before returning a final answer — this is a stated modelling assumption, not a measured average.
Does verbosity compound across turns?
Yes — a chatty model pays its verbosity penalty on every one of the 8 round-trips, not once, so the effect on total task cost is larger here than on a single-call workload.