GPT-6 Astra vs Gemini 3.8 Flash
A current, source-checked comparison of GPT-6 Astra and Gemini 3.8 Flash, focused on context, pricing and practical model selection.
Astra is positioned as OpenAI’s highest-end model for the hardest end-to-end work, while Gemini 3.8 Flash targets long-horizon software engineering, autonomous agents and enterprise workflows with much lower introductory token pricing. Both support roughly one million tokens of input context.
Specs side by side
| Area | GPT-6 Astra | Gemini 3.8 Flash |
|---|---|---|
| Input price / 1M | $10 standard | $0.75 introductory through Dec 31, 2026 |
| Output price / 1M | $50 standard | $3.75 introductory through Dec 31, 2026 |
| Context window | 1,050,000 | 1,048,576 input |
| Max output | 128,000 | 65,536 |
| Reasoning / thinking | low, medium, high, xhigh, max | low, medium, high |
| Status | Staged rollout | Generally available |
How to choose
Do not pick a model from a benchmark headline alone. Compare the models on the exact workload you care about: same prompts, same tool permissions, similar reasoning settings, repeated runs, recorded date and measured cost. We will add independent tests here as they are completed.
What this comparison does not claim
Model capabilities move quickly and vendor benchmarks are not interchangeable. This page avoids declaring a universal “winner” until matched-task tests are available.
Frequently asked questions
Is GPT-6 Astra better than Gemini 3.8 Flash?
There is no single answer for every workload. Astra is a premium flagship model; the better choice depends on task quality, latency, context needs, tool support and cost.
Are the prices on this page current?
They are reviewed against first-party vendor documentation on September 5, 2026. Always verify vendor pricing before production deployment.
Primary sources
Specifications and prices can change. We prefer first-party documentation and record the date each page was reviewed.