AI & Cloud FinOps
LLM Token & API Pricing Calculator
Model monthly infrastructure costs and token economics across Gemini 2.5 Flash, DeepSeek R1/V3, Claude 3.5 Sonnet, and GPT-4o with prompt caching discounts.
Updated 2026 Pricing & Prompt Caching
Interactive LLM Token & Infrastructure Cost Engine
Compare Gemini 2.5 Flash, DeepSeek R1/V3, Claude 3.5 Sonnet, and GPT-4o with prompt caching discounts, token sliders, and markdown export.
Quick Architecture Presets
Workload Sizing & Token Parameters
10,000 / day
500 (MVP)10,000 (SaaS)50,000 (Growth)200,000 (Enterprise)
6,000 tokens
200 (Chat)4,000 (RAG chunk)16,000 (Files)64,000 (Repo context)
800 tokens
100 (Classification)500 (Standard)2,000 (Article)8,000 (Full Code)
Prompt Caching Hit RateSavings Booster
70%Applies provider-level caching rates (e.g. 75% off for Gemini, 90% off for DeepSeek & Claude).
Selected Model SpotlightUltra Fast & High Value
$138.01/ month
≈ $1656.15 / year
Cost per 1,000 requests$0.454
Monthly Cache Savings-$71.86
Context Window1,000k tokens
FinOps Recommendation
Consider model routing: route classification & quick tasks to Gemini 2.5 Flash, reserving this model for deep reasoning.
Full Multi-Model Cost Comparison Matrix
| Model & Provider | Input / 1M | Output / 1M | Cost / 1k Reqs | Cache Savings | Monthly Bill |
|---|---|---|---|---|---|
Gemini 2.5 FlashLowest Cost Google Cloud Vertex AI | $0.075 | $0.30 | $0.454 | -$71.86 | $138.01 |
DeepSeek V3 DeepSeek API | $0.140 | $0.28 | $0.535 | -$160.96 | $162.66 |
GPT-4o mini OpenAI | $0.150 | $0.60 | $1.065 | -$95.81 | $323.93 |
DeepSeek R1 (Reasoning) DeepSeek API | $0.550 | $2.19 | $3.330 | -$523.76 | $1012.85 |
Claude 3.5 Haiku Anthropic | $0.800 | $4.00 | $4.976 | -$919.78 | $1513.50 |
Gemini 2.5 Pro Google Cloud Vertex AI | $1.250 | $5.00 | $7.563 | -$1197.63 | $2300.21 |
GPT-4o (Omni) OpenAI | $2.500 | $10.00 | $17.750 | -$1596.84 | $5398.84 |
Claude 3.5 Sonnet Anthropic | $3.000 | $15.00 | $18.660 | -$3449.17 | $5675.63 |
Instant Prompt Token Counter & Real-Time Cost Estimator
Type or paste your prompt, code snippet, or JSON payload to measure characters, estimated tokens, and single-execution API cost.
Characters: 0Est. Tokens: 0
Cost on Gemini 2.5 Flash:$0.000000
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Frequently asked questions
How does LLM prompt caching lower API bills?
Prompt caching allows LLM providers (like Google Vertex AI, Anthropic, and DeepSeek) to cache repeated prefixes (system prompts, tool declarations, RAG context). Subsequent requests hitting the cache receive a 75% to 90% discount on input token costs.
How do I estimate token counts from text length?
For English text and standard code, 1 token is approximately 4 characters (or ~0.75 words). 1,000 tokens corresponds to roughly 750 words. For non-English languages (like Vietnamese or Japanese), tokens may represent shorter character sequences (approx. 1.5–2 characters per token).
Which model offers the lowest cost per token in 2026?
Gemini 2.5 Flash ($0.075 / 1M input) and DeepSeek V3 ($0.14 / 1M input) lead the industry in raw token economics, providing enterprise-grade speed and intelligence at a fraction of flagship pricing.
What is model routing and why is it recommended for agents?
Model routing sends lightweight tasks (tool routing, formatting, classification, summarization) to low-cost models like Gemini 2.5 Flash, and escalates only complex reasoning or multi-file code refactors to Claude 3.5 Sonnet or DeepSeek R1, cutting infrastructure spend by 60–80%.
The Senior Full-Stack Production Kit (2026)
Checklists, Docker recipes, and SSR error fixes in one dense PDF.