# GPT-6 Model Guide

> Choose the right GPT-6 model for your task to save time and money.
- Title: GPT-6 Model Guide · OpenAI | Shortify
- Summary: Choose the right GPT-6 model for your task to save time and money. Select GPT-6 Astra for complex reasoning, GPT-6.1 Sol for coding, and GPT-6 Luna for…
- Keywords: gpt-6, gpt-6 astra, gpt-6.1 sol, gpt-6 luna, reasoning level, cost, latency, api, caching, steering, asynchronous tools, delegation
- Source: OpenAI — https://openai.com/index/practical-guide-building-gpt-6
- Read time: 1 min
- Topics: gpt-6, gpt-6 astra, gpt-6.1 sol, gpt-6 luna, reasoning level, cost, latency, api, caching, steering, asynchronous tools, delegation
## Run effectively in production
Prepare your workflow for production by cutting unnecessary context and using prompt caching to reduce costs.
## Match the model to your workload
Choose GPT-6 Astra for complex reasoning, GPT-6.1 Sol for coding, and GPT-6 Luna for repetitive tasks to balance cost and performance.
## Adjust your prompts and skills
Define clear assignments, output requirements, and decision boundaries to guide the model effectively.

> Models have gotten much better at understanding nuance and ambiguity, so overly specific guidance can now hinder results where it previously helped.
## Optimize long-running tasks
Use steering, asynchronous tools, and delegation to manage complex work without delays.
## Caching and compaction
Cached input tokens cost up to 95% less than uncached tokens, reducing costs for recurring work.
## Model pricing and speed
GPT-6 Astra offers high intelligence for complex tasks, while GPT-6.1 Sol provides fast coding and research capabilities.
## Reasoning levels
Adjust reasoning effort from low to extra high to match task complexity without breaking cache.
## Speed settings
Use Fast mode for chat apps and Ultrafast for rapid coding iterations to balance speed and cost.
## Real-world examples
Harvey, Cognition, Hex, and Invideo use GPT-6 Astra to improve drafts, testing, dashboards, and video editing.
## Computer use
GPT-6 models interact with websites and desktop apps to fix bugs and test code directly.
## From testing to production
Teams use GPT-6 Astra to create better drafts, test software, and build interactive dashboards with higher success rates.
## Cost management
GPT-6 Astra costs $10 input and $50 output with $1 cached input, balancing cost and performance.
## What happens next
Teams will use GPT-6 models to streamline workflows and reduce costs through better task management.
## GPT-6 family
GPT-6 Astra, GPT-6.1 Sol, and GPT-6 Luna offer different capabilities for complex reasoning, coding, and repetitive tasks.
## Key takeaway

Select GPT-6 Astra for complex reasoning, GPT-6.1 Sol for coding, and GPT-6 Luna for repetitive tasks to optimize cost and performance.