GPT-5.6 Terra
GPT-5.6 Terra is an OpenAI limited-preview GPT-5.6 model variant positioned below Sol for more cost-sensitive reasoning, coding, and API evaluation.
🚀Function Overview
A lower-cost GPT-5.6 preview option for teams that want to evaluate the family without paying Sol pricing on every task.
Key Features
- Official OpenAI GPT-5.6 family member with model ID gpt-5.6-terra
- Positioned by OpenAI as less capable and more cost-effective than Sol
- Useful for staged evaluation before escalating to GPT-5.6 Sol
- Official standard and batch token pricing published by OpenAI
- Preview access can vary by account and rollout phase
Use Cases
- •Cost-controlled GPT-5.6 family experiments
- •Coding or analysis tasks that need more capability than a cheap baseline but do not justify Sol
- •A/B routing between Terra, Luna, Sol, and older OpenAI models
- •Preview API testing with explicit access and cost checks
⚙️Input Parameters
messages
arrayChat or reasoning task messages sent to the OpenAI API or supported OpenAI product surface.
model
stringUse gpt-5.6-terra when the OpenAI API account has access to the GPT-5.6 Terra preview.
💡Usage Examples
Example 1
Input Parameters
{
"model": "gpt-5.6-terra",
"messages": [
{
"role": "user",
"content": "Summarize the risk tradeoffs before escalating this coding task to GPT-5.6 Sol."
}
]
}Output Results
Quick Actions
Technical Specifications
- Hardware Type
- OpenAI limited preview
- Run Count
- 0
- Commercial Use
- Supported
- Pricing
- 10/1M input tokens and $50/1M output tokens; batch pricing listed by OpenAI as $5/1M input tokens and $25/1M output tokens
- Platform
- Replicate
Related Keywords
Related Models
GPT-5.6 Luna
OpenAI GPT-5.6 limited-preview model variant for lower-cost GPT-5.6 family experiments and lighter reasoning or coding tasks.
GPT-5.6 Sol
OpenAI flagship GPT-5.6 limited-preview model for hard reasoning, coding, scientific work, Codex experiments, and staged API evaluation.
Bielik 1.5B v3 Instruct
Bielik-1.5B-v3-Instruct is a generative text model featuring 1.6 billion parameters. It is result of collaboration between the open-science/open-souce project SpeakLeash and the High Performance Computing (HPC)