Model comparison
GPT-6 Astra vs GPT-5.6 Sol
Compare GPT-6 Astra vs GPT-5.6 Sol API pricing: input/output token costs, cache pricing, context windows, workload estimates, and routing fit.
GPT-6 Astra
openai · gpt-6-astra
- Input
- $10
- Output
- $50
- Context
- 1.1M
GPT-5.6 Sol
openai · gpt-5.6-sol
- Input
- $4
- Output
- $20
- Context
- 1.1M
Quick take
GPT-5.6 Sol has the lower input price at $4 per 1M input tokens. GPT-5.6 Sol is cheaper for the example blended workload below. GPT-6 Astra has the larger context window at 1.1M tokens.
Choose GPT-6 Astra if...
- GPT-6 Astra is a reasonable pick when its provider, latency, or integration path fits your stack better.
Choose GPT-5.6 Sol if...
- GPT-5.6 Sol is the better default for cost-sensitive traffic and repeated high-volume calls.
Example workload cost
Estimates use input tokens plus 20% output tokens. They exclude provider discounts, cache hits, and tool/search surcharges.
| Workload | GPT-6 Astra | GPT-5.6 Sol | Cheaper |
|---|---|---|---|
| 1M input + 200K output | $20.00 | $8.00 | GPT-5.6 Sol |
| 10M input + 2M output | $200.00 | $80.00 | GPT-5.6 Sol |
| 100M input + 20M output | $2,000.00 | $800.00 | GPT-5.6 Sol |
Context, output, and capability fit
GPT-6 Astra provides the larger context window. Check max output separately when the task needs long reports, code generation, or full-document rewrites.
- GPT-6 Astra max output
- 128K
- GPT-5.6 Sol max output
- 128K
- GPT-6 Astra features
- prompt caching, function calling, vision
- GPT-5.6 Sol features
- prompt caching, function calling, vision
Risk notes for GPT-6 Astra
- High output price: cap max tokens for verbose generation workloads.
Risk notes for GPT-5.6 Sol
- High output price: cap max tokens for verbose generation workloads.
Routing tags
frontierpremiumreasoningcodingagentslong-contextmultimodalcache-friendlyrag