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AI Pricing Calculator

Compare the cost of using AI/LLM APIs from major providers including OpenAI (GPT-4), Anthropic (Claude), Google (Gemini), and Mistral AI. Estimate your monthly costs based on usage patterns.

Select Use Case

Configuration

1,000 tokens

500 tokens

1,000 / day (30,000 / month)

Estimated Monthly Cost

Based on 30,000 requests/month with 1,000 input + 500 output tokens each

Gemini 1.5 Flash

Best Value

Google • Fast and efficient

Input: $2.25 | Output: $4.50 | Per request: <$0.01

$6.75

/month

GPT-4o mini

OpenAI • Affordable and intelligent

Input: $4.50 | Output: $9.00 | Per request: <$0.01

$13.50

/month

Mistral Small

Mistral AI • Cost-efficient for simple tasks

Input: $6.00 | Output: $9.00 | Per request: <$0.01

$15.00

/month

Claude 3 Haiku

Anthropic • Fastest and most cost-effective

Input: $7.50 | Output: $18.75 | Per request: <$0.01

$26.25

/month

Gemini 1.5 Pro

Google • Long context up to 2M tokens

Input: $37.50 | Output: $75.00 | Per request: <$0.01

$112.50

/month

Mistral Large

Mistral AI • Top-tier reasoning

Input: $60.00 | Output: $90.00 | Per request: <$0.01

$150.00

/month

GPT-4o

OpenAI • Flagship multimodal model

Input: $75.00 | Output: $150.00 | Per request: <$0.01

$225.00

/month

Claude 3.5 Sonnet

Anthropic • Best balance of speed and intelligence

Input: $90.00 | Output: $225.00 | Per request: $0.0105

$315.00

/month

GPT-4 Turbo

OpenAI • Previous flagship model

Input: $300.00 | Output: $450.00 | Per request: $0.0250

$750.00

/month

Claude 3 Opus

Anthropic • Most powerful for complex tasks

Input: $450.00 | Output: $1125.00 | Per request: $0.0525

$1575.00

/month

* Prices as of January 2025. Actual costs may vary. Does not include fine-tuning, image generation, or other specialized features.

Understanding AI API Pricing

AI model pricing is typically based on tokens, which are pieces of text (roughly 4 characters or 0.75 words in English). Pricing is usually quoted per million tokens, with separate rates for input (prompts) and output (completions).

Key Pricing Factors

  • Input tokens - The text you send to the model (system prompts, user messages, context)
  • Output tokens - The text the model generates in response
  • Model tier - More capable models cost more but may produce better results
  • Context window - Larger context windows allow more input but may increase costs

Cost Optimization Tips

  • Choose the right model - Use smaller, faster models for simple tasks and reserve powerful models for complex reasoning
  • Optimize prompts - Concise, well-structured prompts reduce input token costs
  • Limit output length - Set max_tokens to control response length when appropriate
  • Use caching - Cache common responses to avoid redundant API calls
  • Batch requests - Some providers offer discounts for batch processing

Provider Comparison

Provider Strengths Best For
Anthropic (Claude) Long context, coding, safety Complex analysis, code generation
OpenAI (GPT-4) Ecosystem, multimodal, plugins General purpose, vision tasks
Google (Gemini) Massive context, cost-effective Document processing, long content
Mistral AI Open weights, EU-based, efficient Cost-sensitive applications