Agent Run Cost Planner

Estimate the cost of a multi-step agent run where the context grows every step, across every model on our price list.

The starting numbers are placeholders, not measurements: replace them with token counts from your own logs.

161,400input tokens per run
4,800output tokens per run
24,300context on the last step
Cost of the agent run on each model
ModelPer runPer monthContextFits?
Claude Opus 5.5
Anthropic · $4/$20 per 1M
$0.7416$7421MYes
GPT-6 Astra
OpenAI · $10/$50 per 1M
$1.85$18541.05MYes
GPT-6.1 Sol
OpenAI · $2/$10 per 1M
$0.3708$3711.05MYes
Claude Sonnet 5.5
Anthropic · $2/$10 per 1M
$0.3708$3711MYes
GPT-6.1 Terra
OpenAI · $1/$5 per 1M
$0.1854$1851.05MYes
Gemini 4 Argon
Google · $2/$10 per 1M
$0.3708$3711MYes
Claude Fable 5.1
Anthropic · $10/$50 per 1M
$1.85$18541MYes
Muse Wonder
Meta · $4/$20 per 1M
$0.7416$7421.05MYes
Claude Haiku 5.5
Anthropic · $0.1/$0.5 per 1M
$0.0185$18.541MYes
Grok 4.7
xAI · $2/$6 per 1M
$0.3516$352500KYes
DeepSeek V4.1 Flash (1017)
DeepSeek · $0.3/$1.2 per 1M
$0.0542$54.181MYes
Gemini 3.8 Flash
Google · $0.75/$3.75 per 1M
$0.1391$1391MYes
GPT-6 Luna
OpenAI · $0.1/$0.5 per 1M
$0.0185$18.541.05MYes
DeepSeek V4 Pro (0813)
DeepSeek · $1.32/$3.96 per 1M
$0.2321$2321MYes

How this is calculated

Step 1 sends the fixed prompt. Every later step sends the fixed prompt plus everything added so far (each earlier tool result and model output), so input tokens grow with every step: input = steps × fixed + (added + output) × steps × (steps − 1) ÷ 2. Output = steps × output per step. Cost = (input × input price + output × output price) ÷ 1,000,000. This is an upper bound for providers that discount cached input, and it ignores batch discounts, reasoning tokens billed as output, tool fees and any context trimming. Prices are standard list prices from each provider's official page (last verified 2026-11-09); see the model price list for sources.

Related guide: Cheapest LLM APIs for agents

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