Real numbers behind AI hype.
AI vendor pricing pages are designed to obscure total cost. CalcBold's AI & Tech calculators are designed to surface it. Plug in real production numbers — turns per agent task, average input/output tokens, retry rates, GPU rental hours, monthly tool subscriptions — and see what your project actually costs at the scale you're targeting. Built by an engineer who runs Claude Opus + Sonnet in production at semisoftwares.com and Pack Forge; the math is the same we use ourselves.
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Top ai & tech tools
- #1 Most-searched
AI Job Replacement Risk Calculator
Pick your role, set the routine-task share, your seniority, your horizon, and the AI capability scenario you find most credible. The calculator returns a 0-95% task-replacement risk score with a concrete next action — calibrated against published 2024-2025 research, framed honestly: the score is a signal to adapt, not a forecast about you.
350K+/month
- #2
Token Context Window Calculator
Paste your prompt's character count, pick a model, and see what % of its context window you'll consume — across Claude Opus / Sonnet 4.6 (1M) / Haiku, GPT-5 / 4o / 4o-mini / o1, and Gemini 2.5 Pro (2M) / Flash / Flash-Lite. Includes system prompt, RAG context, conversation history, and output reservation in one shot.
240K+/month
- #3
Personal AI Stack ROI Calculator
Add up ChatGPT Plus + Claude Pro + Cursor Pro + the long tail of niche subscriptions. The calculator divides annual spend by hours-saved-per-week × your after-tax hourly rate × 50 work weeks. Returns a defensible ROI %, the break-even hours, and the 5-year cumulative net.
200K+/month
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AI Job Replacement Risk Calculator — instant
The ai & tech tool with the highest monthly demand. Run it here, then open the full version for AI insight, scenarios, and embed code.
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Agent & Token Costs
3 tools- Context Window New
Token Context Window Calculator
Paste your prompt's character count, pick a model, and see what % of its context window you'll consume — across Claude Opus / Sonnet 4.6 (1M) / Haiku, GPT-5 / 4o / 4o-mini / o1, and Gemini 2.5 Pro (2M) / Flash / Flash-Lite. Includes system prompt, RAG context, conversation history, and output reservation in one shot.
240K+/month - Image Gen Cost New
AI Image Generation Cost Calculator
Plug in your monthly image volume, quality (Standard / HD), resolution, and how many iterations you make per final image. The calculator returns total monthly + annual cost across DALL-E 3, Midjourney, SDXL, Flux Pro/Dev, and Imagen 3 — and surfaces the cheapest provider for your specific shape.
180K+/month - Agent Cost New
AI Agent Run Cost Calculator
Model your agent's full economics: turns per task, input + output tokens per turn, retry overhead, prompt caching. See per-task cost, monthly burn, and the side-by-side across Claude Opus / Sonnet / Haiku, GPT-5, and Gemini 2.5 — pick the tier that doesn't blow your runway.
120K+/month
Infra Trade-offs
3 tools- FT vs RAG New
Fine-tune vs RAG Calculator
Should you fine-tune GPT-4o-mini on your corpus or run RAG with a vector DB? Plug in your corpus size, query volume, and target horizon. The calculator returns the full economics — training cost, monthly inference, vector DB hosting, break-even month, and the volume at which the other answer takes over.
85K+/month - GPU vs API New
GPU Rental vs API Calculator
Compare the real total cost of running an open-source LLM on rented H100 / A100 / L40S GPUs against calling the OpenAI / Anthropic / Google API directly. Throughput-based GPU math + 2026 rental rates + utilisation correction + setup amortisation. Returns the break-even queries/day where the loser would win at scale.
45K+/month - Self-Host vs API New
Self-Host vs API Calculator
Capex vs opex decision for production LLM workloads. Buy an H100 server / RTX 4090 cluster / on-prem rack and amortise over its useful life — or stay on per-token API. Calculator returns horizon total both paths, hardware payback months, and the volume threshold at which the loser would catch up.
35K+/month
AI ROI & Stack
5 tools- AI Job Risk New
AI Job Replacement Risk Calculator
Pick your role, set the routine-task share, your seniority, your horizon, and the AI capability scenario you find most credible. The calculator returns a 0-95% task-replacement risk score with a concrete next action — calibrated against published 2024-2025 research, framed honestly: the score is a signal to adapt, not a forecast about you.
350K+/month - AI Stack ROI New
Personal AI Stack ROI Calculator
Add up ChatGPT Plus + Claude Pro + Cursor Pro + the long tail of niche subscriptions. The calculator divides annual spend by hours-saved-per-week × your after-tax hourly rate × 50 work weeks. Returns a defensible ROI %, the break-even hours, and the 5-year cumulative net.
200K+/month - AI Replacement 2027 New
AI Replacement Risk Score (2027)
0-100 replacement-risk score over 3/5/10-year horizons. Industry + task + AI-adoption scoring. Reskilling priority recommendation.
180K/month - AI TCO New
AI Model Cost Calculator
Most LLM cost estimators give you the API line item and stop. This calculator gives you the full project TCO: API tokens + amortised engineering setup + monthly eval / monitoring / on-call. Returns the 'hidden cost ratio' — what % of your total cost ISN'T raw tokens — so you can see where the real lever is.
75K+/month - AI Stack ROI New
AI Tool Stack ROI Calculator
Net monthly $ saved across your subscriptions. Tax-deduction adjusted. Overlap detection + recommended drop list.
60K/month
Sources we cite
Where the ai & tech numbers come from
Anthropic / OpenAI / Google / Mistral vendor rate cards (refreshed quarterly)
Frequently Asked Questions
The most common questions we get about this calculator — each answer is kept under 60 words so you can scan.
Why a separate AI category instead of folding into Finance or Career?
Because the math is genuinely different. AI economics revolve around per-token pricing, multi-turn agent loops, prompt caching discounts, batch-API multipliers, and model-tier price-quality tradeoffs that don't map onto loan-EMI or salary-to-hourly templates. Bundling it into Finance would have hidden the differentiation that makes these calculators useful.Whose pricing data is in here?
Anthropic (Claude Opus 4.7, Sonnet 4.6, Haiku 4.5), OpenAI (GPT-4 Turbo, GPT-5 once published), Google (Gemini 2.5 Pro, Flash), Mistral, Meta Llama hosted endpoints, and Replicate-hosted open-source models. Pricing is refreshed against published vendor rate cards quarterly; calculator pages link the source. Where prompt caching, batch API, or volume discounts apply, the calculator either models them as a percentage discount input or shows a side-by-side comparison.I'm running an agent at 8 turns × 12k input tokens × 600 output. What can the calculator tell me?
The Agent Run Cost calculator gives you per-task cost, daily total at your target throughput, and a side-by-side across the 5 model tiers (Opus / Sonnet / Haiku / GPT-4 / Gemini Flash). It also surfaces the prompt-caching break-even point — at 8 turns with stable system prompts, prompt caching typically recovers 70–90% of input-token cost. The smart insight calls out concrete next actions: switch tier, decompose the agent, enable caching.Are these calculators biased toward any vendor?
No — vendor-neutral by design. The owner runs Claude Opus + Sonnet in production but also operates GPT-4 and Gemini API surfaces; pricing tables are kept synchronised against vendor rate cards, not curated to favor any provider. The smart insights call out trade-offs honestly: 'Opus 4.7 costs 5× Sonnet 4.6 — keep Opus for the 30% of agent tasks that need its reasoning depth, route the rest to Sonnet.'