AI Coding Workflow Cost Calculator
An AI coding workflow cost calculator estimates how much a multi-step AI coding pipeline (planning, implementation, review) will cost per run and per month based on the model, input and output tokens, retries, and runs per day. This free tool covers Claude, Codex (OpenAI), and Cursor pricing and shows the savings of running deterministic workflows instead of ad-hoc agent runs.
Workflow Steps
| Step name | Model | Input tokens | Output tokens | Retries | Cost | |
|---|---|---|---|---|---|---|
| $0.17 Claude Opus 4 | ||||||
| $0.25 Claude Sonnet 4.5 | ||||||
| $0.01 Claude Haiku 4.5 | ||||||
| Per-run total (50.5k tokens) | $0.44 | |||||
Prices are list prices as of April 2026 and may have changed - always confirm against the provider's pricing page.
Volume Projection
Deterministic vs Ad-Hoc Agent
Ad-hoc agent runs typically use 3-5x more tokens than deterministic workflows because of exploration, re-prompting, and uncached retries. Adjust the multiplier below to match your experience.
How to estimate your AI coding workflow cost
- Add your workflow steps. List each step in your AI coding workflow (planning, implementation, review, etc.). Click Add step to create a new row.
- Pick a model per step. Match each step to a Claude, Codex, or Cursor model. Use a strong model for planning and a cheap model for review to keep cost down.
- Estimate input and output tokens. Enter expected input and output tokens for each step. As a rough rule, 1 token is about 4 characters or 0.75 words.
- Set runs per day. Move the runs per day slider to project daily, weekly, and monthly cost at your real usage volume.
- Compare deterministic vs ad-hoc. Adjust the ad-hoc multiplier (default 4x) to see how much you save by running deterministic workflows instead of letting an agent explore freely.
Frequently Asked Questions
How much does the Claude API cost for coding workflows?
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Claude API pricing varies by model. Claude Opus 4 is $15 per million input tokens and $75 per million output tokens, while Claude Sonnet 4.5 is $3 / $15 and Haiku 4.5 is $1 / $5. A typical multi-step coding workflow using a mix of Opus, Sonnet, and Haiku usually lands between $0.05 and $0.50 per run depending on context size.
Is Codex (OpenAI) cheaper than Claude for code?
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GPT-5 ($1.25 / $10 per million tokens) is generally cheaper than Claude Opus 4 ($15 / $75) but priced similarly to Claude Sonnet 4.5 ($3 / $15) once you account for output. The honest answer: cost depends on which Claude or OpenAI model you compare. For mixed workflows, Sonnet 4.5 and GPT-5 are usually within a few cents of each other per run.
How do I estimate token counts for an AI coding step?
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A rough rule: 1 token is about 4 characters, or roughly 0.75 words. For coding steps, count the input as: system prompt + relevant files + user instruction (often 2,000 to 20,000 tokens). Output is usually 500 to 5,000 tokens per step. When in doubt, log a real run with the provider's usage API and use those numbers in this calculator.
Why is a deterministic workflow cheaper than an ad-hoc agent?
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Ad-hoc agents typically use 3-5x more tokens because they explore the codebase, retry failed steps, re-read files they already saw, and re-prompt themselves to recover from errors. A deterministic workflow runs the same predictable steps with bounded context, so token usage stays close to the calculated minimum on every run.
Are these prices accurate?
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These are list prices as of April 2026. Providers update pricing periodically and offer batch, cached, and volume discounts that can change effective cost by 30-50%. For exact figures see Anthropic's pricing page (anthropic.com/pricing), OpenAI's pricing page (openai.com/pricing), and Google's Gemini pricing page.
Want to actually run cheaper deterministic workflows?
Tornic turns your existing Claude, Codex, or Cursor CLI subscription into a deterministic workflow engine. No surprise API bills, no flaky agent runs, just multi-step automations that produce the same result every time.
Try Tornic