AI cost calculator · Free, no sign-up
What would your AI cost on open models? Compare your current API, Yamify's pricing targets and a GPU scenario. Change an assumption. See what moves.
Start with what you know
Monthly text-token volume
Defaults are standard, uncached text prices. Enter blended rates from your invoice to include cache reads, cache writes, batch pricing or negotiated discounts. Long-context and regional premiums are not added automatically.
Choose an evaluation candidate
A cost comparison is not a quality equivalence. Test the candidate on your actual tasks before switching. Different tokenizers can produce different token counts for the same text.
Compare a rented GPU with token billing. Hardware prices are third-party examples; throughput values are illustrative inputs, not model benchmarks or Yamify offers.
Calculations run in your browser. No prompts, files or API keys needed. Your numbers are included in a WhatsApp draft only when you choose the early-access link; you decide whether to send it.
Your planning snapshot
Current API estimate
$600.00Anthropic · Claude Sonnet 4.6 · Standard text ratesYamify · shared inference
Planning targetAt the preview token rates above. Capacity, quality and final pricing need validation.
Run your own open model
GPU scenario80.25 billed GPU-hours × $1.79, plus $0.00 in extras.
80.25 required hours per GPU · rough sizing passes
Change hardware, speed & paid hours ↗Illustrative throughput. Not a validated configuration, capacity reservation or Yamify rental quote.API: input millions × input price + output millions × output price.
GPU work: (input tokens ÷ prefill tokens/s + output tokens ÷ decode tokens/s) ÷ 3,600 ÷ useful utilization. Prefill and decode are added as a simple planning approximation, not a serving simulator.
On-demand bills the estimated work. Scheduled and always-on modes bill the entire paid window × GPU replicas. Monthly extras are added once.
Memory: total parameters × weight bits ÷ 8, plus an illustrative 8 GiB serving allowance. Long contexts, KV cache, architecture and serving engine can need more. Each replica must fit independently.
No automatic caching, batching or speculative-decoding discount is applied. Enter measured throughput or effective prices to model those changes.
Make the next step a real test
Share your estimate with Yamify. We'll help scope a model evaluation and confirm pricing and capacity before you commit.
Become an early user Opens WhatsApp with a draft. No automatic sign-up, payment or provisioning.Know what changes the answer
Token APIs charge for usage. A dedicated GPU charges for the hours you keep it running. Low or uneven traffic can make a token API the better deal.
Agents may make many model calls for one answer. Include retries and reasoning tokens, then measure cost per successful task alongside accuracy and latency.
Stable prompt prefixes can reuse computation. Batching can improve throughput. Neither guarantees a lower bill or reduces the logical token count by itself.
Provider and GPU examples checked 2026-10-23. Prices can change; verify the linked source before buying. Model rates use one text-token volume for comparison, though tokenizers differ. Tools, embeddings, media, taxes, currency conversion and long-context premiums are excluded unless you account for them yourself.
Yamify preview rates assume shared, batched processing and are planning targets. They are not active billing rates or a promise that a model or African region is available. Access, quality, serving configuration and final pricing are confirmed during onboarding.