Source status is shown on each model page. Sorted comparison updates as inputs change.
Model cost comparison for your inputs
Model
Provider
Input / 1M
Output / 1M
Estimated monthly cost
Cost / 1M blended
Gemini 3.5 Flash
Google
$0.08
$0.30
$22.50
$0.15
Llama 3.1 70B Instruct
Meta / Hosted APIs
$0.59
$0.79
$98.50
$0.66
Kimi K2.6
Moonshot AI
$0.60
$2.50
$185.00
$1.23
Gemini 3.5 Pro
Google
$1.25
$5.00
$375.00
$2.50
GPT-5 (API)
OpenAI
$1.25
$10.00
$625.00
$4.17
GPT-4o
OpenAI
$2.50
$10.00
$750.00
$5.00
Claude 3.5 Sonnet
Anthropic
$3.00
$15.00
$1,050.00
$7.00
Understand AI model pricing in real terms
Most model pricing pages list per-million-token rates. ModelMeter converts those rates into the number teams actually need: estimated monthly API cost for a realistic request volume and token profile.
Input and output token pricing
Per-request and monthly cost views
Cheapest alternative highlighted
Compare models, not just marketing claims
Cost is only half of the decision. ModelMeter pairs pricing pages with benchmark and source-status pages so builders can weigh speed, quality, context window, and price together.
Each model page includes last-updated dates, source links, status labels, FAQ sections, and internal links so the site can expand without publishing thin keyword pages.
Enter expected monthly requests, input tokens per request, and output tokens per request. ModelMeter multiplies those estimates by each model's listed per-million-token prices.
Are image, audio, or cached-token prices included?
Version one focuses on text input and output token pricing. Source links and status labels show where pricing should be checked before purchase decisions.
Can I use this for production budget planning?
Yes for early planning, but final procurement decisions should verify provider pricing, discounts, caching, batch pricing, and regional terms.
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