AI API Pricing Calculator
Compare token pricing across OpenAI, Anthropic, Google, DeepSeek, Perplexity, xAI, and Mistral models.
Calculate AI API Costs
Model Selection
OpenAI
Input Details
≈ 7,500 words
≈ 75,000 words
Documentation & Tips
Complete Guide to AI API Pricing
Quick Reference
Token Basics
- 1 token ≈ 4 characters in English
- 100 tokens ≈ 75 words
- 1 page of text ≈ 750 words ≈ 1000 tokens
Cost Structure
- Input tokens are cheaper
- Output tokens cost more
- Prices per million tokens
Understanding AI API Costs
AI language models process text in chunks called tokens. When using these APIs, you're charged based on the number of tokens processed, with separate pricing for input (your prompts) and output (the AI's responses). Understanding how tokens work is crucial for cost optimization.
Pricing verified on July 25, 2026.
Pricing assumptions for this calculator:
- Uses base token tier pricing only.
- Excludes request/search/reasoning/citation query fees.
- Excludes batch, flex, priority, and time-window discounts.
- Some providers apply higher rates for long-context requests.
AI Models Pricing (per 1M tokens)
| Provider | Model Name | Input Cost ($) | Output Cost ($) |
|---|---|---|---|
| Anthropic | Claude Opus 5 (Fast) | $10.00 | $50.00 |
| Anthropic | Claude Fable 5 | $10.00 | $50.00 |
| Anthropic | Claude Opus 5 | $5.00 | $25.00 |
| Anthropic | Claude Opus 4.8 | $5.00 | $25.00 |
| Anthropic | Claude Opus 4.6 | $5.00 | $25.00 |
| Anthropic | Claude Opus 4.5 | $5.00 | $25.00 |
| Anthropic | Claude Sonnet 5 (from Sep 1, 2026) | $3.00 | $15.00 |
| Anthropic | Claude Sonnet 4.6 | $3.00 | $15.00 |
| Anthropic | Claude Sonnet 4.5 | $3.00 | $15.00 |
| Anthropic | Claude Sonnet 5 (through Aug 31, 2026) | $2.00 | $10.00 |
| Anthropic | Claude Haiku 4.5 | $1.00 | $5.00 |
| DeepSeek | DeepSeek V4 Pro | $0.43 | $0.87 |
| DeepSeek | DeepSeek V4 Flash | $0.14 | $0.28 |
| Gemini 3 Pro (Preview) | $2.00 | $12.00 | |
| Gemini 3.1 Pro (Preview) | $2.00 | $12.00 | |
| Gemini 3.6 Flash | $1.50 | $7.50 | |
| Gemini 3.5 Flash | $1.50 | $9.00 | |
| Gemini 2.5 Pro | $1.25 | $10.00 | |
| Gemini 3 Flash (Preview) | $0.50 | $3.00 | |
| Gemini 2.5 Flash | $0.30 | $2.50 | |
| Gemini 3.1 Flash-Lite | $0.25 | $1.50 | |
| Gemini 2.5 Flash-Lite | $0.10 | $0.40 | |
| Gemini 2.0 Flash | $0.10 | $0.40 | |
| Gemini 2.0 Flash-Lite | $0.07 | $0.30 | |
| Mistral | Magistral Medium | $2.00 | $5.00 |
| Mistral | Mistral Medium 3.5 | $1.50 | $7.50 |
| Mistral | Magistral Small | $0.50 | $1.50 |
| Mistral | Mistral Large 3 | $0.50 | $1.50 |
| Mistral | Mistral Medium 3 | $0.40 | $2.00 |
| Mistral | Devstral 2 | $0.40 | $2.00 |
| Mistral | Codestral | $0.30 | $0.90 |
| Mistral | Ministral 3 14B | $0.20 | $0.20 |
| Mistral | Mistral Small 4 | $0.15 | $0.60 |
| Mistral | Ministral 3 8B | $0.15 | $0.15 |
| Mistral | Devstral Small 2 | $0.10 | $0.30 |
| Mistral | Ministral 3 3B | $0.10 | $0.10 |
| Mistral | Voxtral Small | $0.10 | $0.40 |
| OpenAI | o1-pro | $150.00 | $600.00 |
| OpenAI | GPT-realtime-2.1 (audio) | $32.00 | $64.00 |
| OpenAI | GPT-5.5-pro | $30.00 | $180.00 |
| OpenAI | GPT-5.4 Pro | $30.00 | $180.00 |
| OpenAI | GPT-5.2 Pro | $21.00 | $168.00 |
| OpenAI | o3-pro | $20.00 | $80.00 |
| OpenAI | GPT-5 Pro | $15.00 | $120.00 |
| OpenAI | o1 | $15.00 | $60.00 |
| OpenAI | GPT-5.6 Sol | $5.00 | $30.00 |
| OpenAI | GPT-5.5 | $5.00 | $30.00 |
| OpenAI | GPT-realtime-2.1 (text) | $4.00 | $24.00 |
| OpenAI | GPT-5.6 Terra | $2.50 | $15.00 |
| OpenAI | GPT-5.4 | $2.50 | $15.00 |
| OpenAI | GPT-4o | $2.50 | $10.00 |
| OpenAI | o3 | $2.00 | $8.00 |
| OpenAI | GPT-4.1 | $2.00 | $8.00 |
| OpenAI | GPT-5.2 | $1.75 | $14.00 |
| OpenAI | GPT-5.3 Codex | $1.75 | $14.00 |
| OpenAI | GPT-5.2 Codex | $1.75 | $14.00 |
| OpenAI | GPT-5.1 | $1.25 | $10.00 |
| OpenAI | GPT-5.1 Codex Max | $1.25 | $10.00 |
| OpenAI | GPT-5.1 Codex | $1.25 | $10.00 |
| OpenAI | GPT-5 Codex | $1.25 | $10.00 |
| OpenAI | GPT-5 | $1.25 | $10.00 |
| OpenAI | o4-mini | $1.10 | $4.40 |
| OpenAI | o3-mini | $1.10 | $4.40 |
| OpenAI | GPT-5.6 Luna | $1.00 | $6.00 |
| OpenAI | GPT-5.4 Mini | $0.75 | $4.50 |
| OpenAI | GPT-4.1 mini | $0.40 | $1.60 |
| OpenAI | GPT-5.1 Codex Mini | $0.25 | $2.00 |
| OpenAI | GPT-5 mini | $0.25 | $2.00 |
| OpenAI | GPT-5.4 Nano | $0.20 | $1.25 |
| OpenAI | GPT-4o mini | $0.15 | $0.60 |
| OpenAI | GPT-4.1 nano | $0.10 | $0.40 |
| OpenAI | GPT-5 nano | $0.05 | $0.40 |
| Perplexity | Sonar Pro | $3.00 | $15.00 |
| Perplexity | Sonar Reasoning Pro | $2.00 | $8.00 |
| Perplexity | Sonar Deep Research | $2.00 | $8.00 |
| Perplexity | Sonar | $1.00 | $1.00 |
| xAI | grok-4.5 | $2.00 | $6.00 |
| xAI | grok-4.3 | $1.25 | $2.50 |
| xAI | grok-4.20-reasoning | $1.25 | $2.50 |
| xAI | grok-4.20-non-reasoning | $1.25 | $2.50 |
| xAI | grok-build-0.1 | $1.00 | $2.00 |
Token Counting Guide
What Counts as a Token?
- Common English words: 1-2 tokens
- Long or uncommon words: 2-3+ tokens
- Numbers: ~1 token per 2-3 digits
- Spaces and punctuation count
- Special characters may use more tokens
Token Examples
- "Hello" = 1 token
- "artificial intelligence" = 3 tokens
- "123456" = 2 tokens
- "https://" = 2 tokens
- Emojis: 1-3 tokens each
Note: The token count is an estimate and may vary slightly depending on the model. For additional details, please visit tiktokenizer.vercel.app.
Cost Optimization Strategies
1. Input Optimization
- Use Clear, Concise Prompts: Shorter prompts mean fewer input tokens. Be specific but brief.
- Leverage Input Caching: Some models offer discounted rates for cached inputs, perfect for repeated queries.
- Batch Similar Requests: Combine related queries when possible to reduce overhead.
2. Output Management
- Set Token Limits: Always specify maximum output tokens to prevent unexpected costs.
- Choose the Right Model: Use cheaper models for drafts and more expensive ones for final versions.
- Implement Retry Strategies: Handle API failures gracefully to avoid wasting tokens.
💡 Pro Tips for Cost Efficiency
- Monitor token usage patterns to identify optimization opportunities
- Use model-specific features like caching when available
- Consider breaking long inputs into smaller chunks
- Test with smaller outputs before scaling up
- Keep track of costs across different models to optimize spending
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