AI pricing calculator
Compare LLM API costs across major providers. Model monthly spend from request volume, context size, and generated output.
Model APIs / cost model
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 ValueGoogle • 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 four characters or 0.75 words in English. Pricing is usually quoted per million tokens, with separate rates for input and output.
Key pricing factors
- Input tokens—system prompts, user messages, and context sent to the model
- Output tokens—the text the model generates in response
- Model tier—more capable models generally cost more
- Context window—larger windows admit more input and can increase costs
Cost optimization tips
- Choose the right model—use smaller models for routine tasks and reserve more capable models for complex reasoning
- Optimize prompts—concise, well-structured prompts reduce input token costs
- Limit output length—set output limits when the task has a predictable response shape
- Use caching—reuse stable prompt prefixes and common responses where providers support it
- Batch requests—some providers offer discounted asynchronous processing
Provider comparison
| Provider | Strengths | Best for |
|---|---|---|
| Anthropic | Long context, coding, safety | Complex analysis and code generation |
| OpenAI | Ecosystem and multimodal models | General-purpose and vision tasks |
| Large context and multimodal inputs | Document processing and long content | |
| Mistral AI | Open weights and efficient models | Cost-sensitive applications |