Compare monthly API burn, prompt context caching, and request latency across OpenAI, Anthropic, and Google Gemini.
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LLM API Token Cost & Pricing Optimizer — Calculations use publicly available benchmarks and are for education. Verify with a licensed professional. Primary sources: NIST · FCC · CISA.
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</p>Compare monthly API burn and request latency across OpenAI, Anthropic, Google Gemini, and open weights with context caching.
= 304,000 calls/mo
~900 words system prompt + user text
~300 words generated reply
Anthropic & Google prompt caching savings
| Model | Provider | Pricing (In/Out per M) | Cost / 1k Calls | Monthly Burn |
|---|---|---|---|---|
| Gemini 1.5 Flash | $0.07 / $0.30 | $0.18 | $53.58 | |
| GPT-4o mini | OpenAI | $0.15 / $0.60 | $0.38 | $114 |
| Llama 3.3 70B | Groq / Open Source | $0.59 / $0.79 | $1.02 | $311.3 |
| Gemini 1.5 Pro | $1.25 / $5.00 | $2.94 | $893 | |
| GPT-4o | OpenAI | $2.50 / $10.00 | $6.25 | $1,900 |
| Claude 3.5 Sonnet | Anthropic | $3.00 / $15.00 | $7.98 | $2,425.92 |
| Workload Profile | Daily Requests | Tokens (In / Out) | Gemini 1.5 Flash | Claude 3.5 Sonnet | Action |
|---|---|---|---|---|---|
| Side Project / MVP | 1,000 reqs/day | 800 / 200 | $0.36/mo | $8.40/mo | Apply |
| Production SaaS | 25,000 reqs/day | 1500 / 500 | $14.80/mo | $345.00/mo | Apply |
| Agentic RAG Pipeline | 100,000 reqs/day | 4000 / 800 | $105.00/mo | $2,160.00/mo | Apply |
| High-Volume Enterprise | 500,000 reqs/day | 2000 / 500 | $262.50/mo | $6,150.00/mo | Apply |