Estimate training, validation, hosting and inference costs for fine-tuned AI models before you commit budget.
tok
×
runs
STEP 01🧠
Size the training job
Enter training tokens, validation share, epochs and per-million training rates.
STEP 02⚙️
Model inference volume
Add monthly runs, input/output tokens and tuned inference rates.
STEP 03💸
Compare total cost
See one-time training cost, monthly run cost, hosting fees and payback signal.
One-time Training
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Enter job
🧠
Monthly Total
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inference + hosting
💳
Cost / 1K Runs
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tuned model
🔁
Base vs Tuned
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monthly delta
⚖️
Payback
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training recovery
📈
📸 Your result card is ready
Download a snapshot of your result, share it, or send the link.
Fine-tuning Inputs
tok
×
%
$/1M
runs
$/mo
tok
tok
$/1M
$/1M
$/1M
$/1M
$
Cost Breakdown
🧠
Hit Calculate to see fine-tuning economics
Total first month cost
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Training
Monthly inference
Hosting
Validation
Low CostEfficientWatchExpensiveHigh Risk
Budget & Payback Risk
⚖️
Calculate to compare cost and savings
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0%35%65%100%+
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Fine-tuning Metrics
🧮
Metrics appear after calculation
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Training Cost
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Validation Cost
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Monthly Tuned Cost
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Base Monthly Cost
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Monthly Savings
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Cost / 1K Runs
LOCAL SMART INSIGHT
✦ Result Explainer
✦
Your explanation appears here
1
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2
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i
Validate quality before scaling.
Cost estimates do not prove better accuracy. Compare eval scores, failure rate and latency before moving production volume.
▣ Optimization Plan
📋
Your plan appears after calculation
◎ What If Simulator
Test larger traffic and different training epochs without changing the main result.
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Calculate your baseline first
● Ask About Your Result
Calculate first, then ask about fine-tuning cost, monthly inference, or payback.
Frequently Asked Questions
The calculator multiplies training tokens × epochs × training price per 1M tokens, adds validation token cost, then estimates monthly tuned-model inference from input tokens, output tokens, run volume, tuned rates and hosting fees.
Fine-tuning can become cheaper when it materially reduces prompt length, output length, retries or manual review. The payback metric compares the one-time training cost against estimated monthly savings versus the base model.
No. All calculations run locally in your browser. The tool does not call external APIs, store inputs, use API keys, analytics, tracking pixels or localStorage.
AI Cost Estimate Disclaimer
Results are local estimates based on the prices and usage values you enter. Provider billing units, minimum charges, storage fees, deployment fees, evaluation runs and retry behavior can vary. Use this calculator for planning only, and verify pricing with your vendor before committing production workloads.
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