Define your business needs: the basics
Before comparing models, clarify your goals. Ask yourself: What is the main problem AI needs to solve? How much data do I need to process? What are my budget and time constraints? Answering these questions upfront will prevent you from investing in a model that is either too powerful (and expensive) or insufficient.
Map goals and KPIs
Turn your goals into tangible metrics. For example:
Evaluate the model's technical capabilities
Context length and computer-use scope
GPT-6 Astra, released on September 3, 2026, offers a context window of 1.05 million tokens and is designed for computer use. If you need to analyze lengthy reports, extensive source code, or complex log coordinates, its extended context window can eliminate the need to break requests into fragments.
Example prompt that leverages extended context:
prompt = '''
Analyze the following block of Python source code (up to 200k tokens) and identify any security violations, providing correction suggestions.
'''Performance and specialization
Some models excel at text, while others specialize in images, audio, or programming logic. Determine if you need:
- Pure text generation or writing assistance
- Voice recognition and transcription
- Processing of mathematical formulas or code
- Multimodal integrations (text-image-video)
Consider economic and security aspects
Pricing model and ROI
The cost per token is just one part of the story. Some models charge additional fees for computer use (script executions, external APIs). Create a spreadsheet that includes:
- Base token rate (input + output)
- Special costs for computer use
- License price for on-premise implementation
Compare these costs with the expected savings or new revenue the model will generate.
Cybersecurity and privacy requirements
GPT-6 Astra is currently only available to users who meet a "critical cyber threshold." If your company handles sensitive data, verify:
- Whether the model complies with GDPR, CCPA, or ISO 27001
- Whether on-premise or private enclave hosting options are available
- Whether audit logs and audit controls are in place
Test with real prompts: practical examples
Theory only becomes clear when put into practice. Take a prompt that reflects a real use case and test it with the candidate model.
Example: Generating a B2B email campaign
IMPORTANT: We are in 2026. All temporal references must be current. Do not mention past years such as 2024, 2023, etc. The content must be fresh and relevant to the present. CURRENT CONTEXT (September 2026): Here are some recent trends and news to inspire you: - Google DeepMind’s WeatherNext 3 Trains on Weather Station Observations to Deliver 5 km Global Forecasts, Refreshed Every Hour: WeatherNext 3 ingests live geostationary satellite mosaics, refreshes hourly, and outputs 5 km forecasts across Search, Gemini, Maps. The post Google ... [2026-09-04] - ChatGPT Ads passes $1B run rate in 200 days: ChatGPT Ads has hit $1 billion in annualised revenue run rate in under 200 days, and OpenAI is expanding self-service ads to new regions. Tens of thou... [2026-09-01] - 50.5% of Americans Say AI Romance Can Count as Cheating: Just over half of American adults, 50.5%, say a partner’s romantic or sexual relationship with an AI can count as cheating. The figure comes from an... [2026-09-04] Use this current information as inspiration to create an original and relevant prompt for 2026.