AI API Pricing Comparison 2026

Step 1: Measure your typical token counts

// Use tiktoken (OpenAI) or the Anthropic token counter to measure
// For a typical chat app turn:
// - System prompt: 500-2,000 tokens
// - User message: 100-500 tokens
// - Assistant response: 200-1,000 tokens

// Monthly cost estimate:
const dailyRequests = 10_000;
const avgInputTokens = 1_500;    // system + context + user message
const avgOutputTokens = 400;

// At GPT-4o pricing:
const inputCost = (dailyRequests * avgInputTokens / 1_000_000) * 2.50;   // $0.0375/day
const outputCost = (dailyRequests * avgOutputTokens / 1_000_000) * 10.00; // $0.04/day
const monthlyCost = (inputCost + outputCost) * 30; // ~$2.33/month

// At Claude 4 Haiku:
const inputCostH = (dailyRequests * avgInputTokens / 1_000_000) * 0.80;   // $0.012/day
const outputCostH = (dailyRequests * avgOutputTokens / 1_000_000) * 4.00;  // $0.016/day
const monthlyCostH = (inputCostH + outputCostH) * 30; // ~$0.84/month

Step 2: Factor in output-heaviness

Output tokens cost 3–5x more than input tokens at most providers. If your app generates long responses (summaries, code, essays), output costs dominate. If it's mostly classification or extraction with short outputs, input costs dominate.

What is the cheapest AI API for production use in 2026?

For raw cost per token, Groq (Llama 4 Scout at ~$0.11/1M input) and Google Gemini 2.0 Flash ($0.075/1M input for ≤128K context) are the cheapest production-grade APIs. Among the frontier closed models, GPT-4o Mini ($0.15/1M input) and Claude 3.5 Haiku ($0.80/1M input) offer the best quality-to-cost ratio. The "cheapest" option depends on your use case — high-quality generation, classification tasks, and long-context document analysis each favor different providers.

How does OpenAI API pricing compare to Anthropic Claude pricing?

At the mid-tier (best value) models: GPT-4o costs $2.50/1M input + $10/1M output. Claude 4 Sonnet costs $3/1M input + $15/1M output. GPT-4o is slightly cheaper at the same capability tier. For the most capable models: o3 costs $10/1M input + $40/1M output vs. Claude 4 Opus at $15/1M input + $75/1M output. For budget models: GPT-4o Mini at $0.15/1M input vs. Claude 3.5 Haiku at $0.80/1M input — OpenAI is 5x cheaper at the budget tier. With prompt caching, Anthropic offers 90% cache hit discounts vs. OpenAI's ~50%.

Does Gemini API have a free tier?

Yes. Google Gemini API offers a free tier with generous limits: Gemini 2.0 Flash allows 15 requests per minute and 1,500 requests per day at no cost. Gemini 1.5 Pro also has a free tier with 2 RPM for low-volume use. The free tier is ideal for prototyping and low-traffic applications. Paid tier pricing starts at $0.075/1M input tokens for Gemini 2.0 Flash.

Is Groq cheaper than OpenAI?

Yes, significantly. Groq's Llama 4 Scout costs $0.11/1M input tokens vs. GPT-4o at $2.50/1M — Groq is roughly 23x cheaper per token. For Llama 3.3 70B (quality comparable to GPT-4o in many benchmarks), Groq charges $0.59/1M input vs. GPT-4o's $2.50/1M. The trade-off: Groq only offers open-source models (Llama, Mixtral), which may underperform frontier models on complex reasoning, coding, and instruction-following tasks.

What is prompt caching and how does it affect AI API costs?

Prompt caching lets you reuse repeated parts of your prompt (typically the system prompt or long document context) at dramatically reduced cost. Anthropic charges 10% of normal input price on cache hits (90% savings). OpenAI charges roughly 50% on cached prompt tokens. Google caches after 128K tokens at 75% discount. For applications with long, repeated system prompts or document analysis workflows, caching can reduce API costs by 60–90%.