AI Model Comparison
GPT-5.6 Terra vs GPT-5.6 Sol
Compare GPT-5.6 Terra and GPT-5.6 Sol API pricing, token costs, and estimated AI API expenses. See which model may be more cost-effective for your workload.
GPT-5.6 Terra vs GPT-5.6 Sol pricing
AI API pricing depends on the number of input and output tokens processed by your application. Comparing both prices gives you a better estimate of which model may cost less for your specific workload.
| Metric | GPT-5.6 Terra | GPT-5.6 Sol |
|---|---|---|
| Input / 1M tokens | $2.00 | $4.00 |
| Output / 1M tokens | $12.00 | $20.00 |
Which model is cheaper?
For input tokens, GPT-5.6 Terra is 2.0× less in price compared with GPT-5.6 Sol.
For output tokens, GPT-5.6 Terra is 1.7× less in price compared with GPT-5.6 Sol.
The cheapest model is not always the best model for every application. Your total cost depends on request volume, token usage, and the balance between input and output tokens. Model quality, latency, and capabilities can also be important when choosing an API.
Estimate your actual AI API cost
Pricing tables show the rate per million tokens, but your actual bill depends on how much your application uses. Use the AI Cost Calculator to enter your request volume and token usage and estimate daily, monthly, and yearly spending.
Calculate AI API costs →Frequently asked questions
Which is cheaper, GPT-5.6 Terra or GPT-5.6 Sol?
GPT-5.6 Terra and GPT-5.6 Sol should be compared using both input and output token prices. The cheaper option depends on how many input and output tokens your application uses.
How much does GPT-5.6 Terra cost compared with GPT-5.6 Sol?
GPT-5.6 Terra costs $2.00 per 1 million input tokens and $12.00 per 1 million output tokens. GPT-5.6 Sol costs $4.00 per 1 million input tokens and $20.00 per 1 million output tokens.
How do I calculate my actual AI API cost?
Enter your expected requests per day, input tokens per request, and output tokens per request in the AI Cost Calculator to estimate daily, monthly, and yearly API spending.
Should I choose the cheaper AI model?
Not necessarily. Price is only one factor. Model capabilities, output quality, latency, context requirements, and reliability can also affect which model is the best choice for an application.