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AI API Cost Calculator

Calculate exact monthly costs for GPT-5.4, Claude Opus 4.6, Gemini 2.5 Pro, and other AI APIs. Enter your usage patterns and see real-time cost projections.

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Usage Parameters

101K10K100K
505002K8K
502001K4K
Quick Presets

Cost Projection

Model: GPT-5.4
$127.50
per month
$4.25
Daily
$127.50
Monthly
$1.6K
Annual
Per Request Breakdown
Input cost$0.001250
Output cost$0.003000
Total per request$0.004250
💡 Cost-saving tip
Switch to Mistral Small 3.2 and save $124.20/month

AI API Pricing Comparison 2026

GPT-5.4 pricing reflects standard rates for typical context sizes. Gemini 2.5 Pro pricing reflects the ≤200k prompt tier — higher rates apply above 200k tokens. Last verified: 2026-04-01.

ModelProviderInput /1M tokensOutput /1M tokensContextBest For
GPT-5.4OpenAI$2.5$151MComplex reasoning, coding, hard tasks
GPT-5.4-miniOpenAI$0.75$4.5128KBalanced cost/quality at scale
GPT-5.4-nanoOpenAI$0.2$1.25128KUltra-high volume, simple tasks
Claude Opus 4.6Anthropic$5$251MMost powerful, complex analysis
Claude Sonnet 4.6Anthropic$3$151MCoding, long docs, instruction-following
Claude Haiku 4.5Anthropic$1$5200KFast, cost-effective tasks
Gemini 2.5 ProGoogle$1.25$101MComplex tasks, massive context, multimodal (≤200k prompt tier)
Gemini 2.5 FlashGoogle$0.3$2.51MHigh-volume, multimodal tasks
Gemini 2.5 Flash-LiteGoogle$0.1$0.41MCheapest capable model, max volume
Mistral Large 3Mistral AI$0.5$1.5256KEU compliance, multilingual, open-weight
Mistral Small 3.2Mistral AI$0.1$0.3128KOpen weights, efficient deployment

Frequently Asked Questions

Which AI API is cheapest?

Mistral Small 3.2 ($0.10/1M input) and Gemini 2.5 Flash-Lite ($0.10/1M input, $0.40/1M output) are currently the cheapest capable production models. GPT-5.4 nano at $0.20/1M is also very cost-effective for high-volume applications.

How do I reduce AI API costs?

Key strategies: (1) Cache repeated requests, (2) Compress prompts to reduce input tokens, (3) Use faster/cheaper models for simple tasks and only route complex requests to flagship models, (4) Implement request batching, (5) Use prompt caching features offered by Anthropic and OpenAI.

What is a token in AI APIs?

A token is roughly 4 characters or 0.75 words in English. 1,000 tokens ≈ 750 words. A typical paragraph is 100-200 tokens. The word "calculator" is about 2-3 tokens.