Calculator

Token-Cost Optimizer

LLM trading research loop cost calculator. Prompt length × model × retry × call volume → dollar cost per idea and per validated trade. Browser-only. Free.

AI Fin Hub Research Published Apr 20, 2026 Methodology Corrections

Inputs: Form inputs / CSV
Runtime: Instant
Privacy: Client-side · no upload
API key: Not required
Methodology: Open →

1 · Configure your research loop

Primary model

Input tokens per call

Output tokens per call

Calls per idea

Retry rate15%

Ideas per day

Validation rate30%

Cache hit rate (Anthropic)50%

Per call

$0.036

Claude Sonnet 4.6

Per idea

$0.205

Per validated trade

$0.684

Per month

$62

Per year

$749

2 · Model comparison at these inputs

Model	Per call	Per idea	Per month	Per validated trade
Gemini 2.5 Flashgoogle	$0.00615	$0.035	$11	$0.118
Claude Haiku 4.5anthropic	$0.012	$0.068	$21	$0.228
Gemini 2.5 Progoogle	$0.025	$0.144	$43	$0.479
GPT-5 miniopenai	$0.028	$0.161	$48	$0.537
Claude Sonnet 4.6anthropicprimary	$0.036	$0.205	$62	$0.684
o4-mini (reasoning)openai	$0.042	$0.242	$72	$0.805
GPT-5openai	$0.140	$0.805	$242	$2.68
Claude Opus 4.7anthropic	$0.178	$1.03	$308	$3.42

How the cost flows

effective_call   = input × price_in + output × price_out
                   (Anthropic: cache-hit fraction priced at cache_read)
calls_per_idea   = calls × (1 + retry_rate)
cost_per_idea    = effective_call × calls_per_idea
cost_per_day     = cost_per_idea × ideas_per_day
cost_per_val     = cost_per_idea / validation_rate
cost_per_year    = cost_per_day × 365

Pricing last verified 2026-04-20. See methodology for the full rate table with vendor-page sources.

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