📊 AI API Pricing Cheat Sheet 2026
Every model. Every provider. One page. Updated weekly.
Last updated: July 7, 2026 · 88 models · 10 providers
📋 Full Pricing Table — All 59 Models
Click any column header to sort. Prices are per 1 million tokens. Filter by provider or tier.
| Model | Provider | Tier | Input $/1M | Output $/1M | Blended* | Context |
|---|
* Blended = 3:1 output:input ratio (typical for chat). Click column headers to sort. Greyed rows are deprecated.
🏢 Provider Comparison
At a glance: what each provider offers and where they shine.
OpenAI
Anthropic
DeepSeek
Mistral
Meta (via Together)
Cohere
xAI
Moonshot
AI21
💰 Cost Per Task — What You'll Actually Pay
Real-world cost estimates for common AI tasks. Based on typical token counts.
💬 Simple Chat
📄 Summarize Document
🔧 Generate Code
📊 Analyze Data
🤖 AI Agent Step
📚 RAG Query
💡 Key insight: Output tokens cost 3–20× more than input tokens across all providers. Design your prompts to minimize output length where possible.
🎯 Quick Recommendations by Use Case
Not sure which model to pick? Start here.
💸 Lowest Cost
⚖️ Best Value
🧠 Best Reasoning
⚡ Best Speed
📝 Long Documents
💻 Code Generation
🏢 Enterprise RAG
🌍 EU Compliance
🚀 Budget General
⚠️ 3 Hidden Costs Most Developers Miss
The per-token price is just the beginning. Here's what catches teams off guard.
1. Output Token Markup (3–20×)
Every provider charges more for output tokens than input. The markup ranges from 3× (DeepSeek) to 20× (GPT-5.5 Pro). For code generation and long-form writing, output tokens dominate your bill.
2. Context Window Waste
Sending full conversation history on every API call means your input costs grow linearly with conversation length. A 50-turn chat with GPT-5 at 10K context costs $0.125 per message just for input.
3. Retry & Error Costs
Rate limits, timeouts, and malformed responses all consume tokens. With aggressive retry logic, you can accidentally 3× your costs. Some providers charge for partial completions.
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