Side-by-side technical and economic comparison between OpenAI's GPT-6 Astra and Google's Gemini 3.8 Flash.
| Metric | GPT-6 Astra | Gemini 3.8 Flash | Advantage |
|---|---|---|---|
| Provider Organization | OpenAI | — | |
| Standard Input / 1M | $10.00 | $0.75 | Gemini 3.8 Flash (93% lower) |
| Cached Input / 1M | $1.00 | $0.075 | Gemini 3.8 Flash lower |
| Output / 1M | $50.00 | $3.75 | Gemini 3.8 Flash lower |
| Context Window | 1.05M | 1.05M | GPT-6 Astra (1.05M) |
| Max Generation Tokens | 32k | 16.4k | GPT-6 Astra |
| Tokenizer Family | OpenAI o200k_base (200k vocabulary) | Google Gemini SentencePiece (256k vocabulary) | — |
| Workload (per month) | GPT-6 Astra | Gemini 3.8 Flash |
|---|---|---|
| Chatbot10k requests · 500 in / 200 out | $150.00 | $11.25 |
| RAG app100k requests · 8,000 in / 1,200 out | $14,000.00 | $1,050.00 |
| Coding agent100k requests · 12,000 in / 2,000 out | $22,000.00 | $1,650.00 |
Standard rates, no caching or batch discounts. Model your own numbers below.
Opt for GPT-6 Astra when your engineering requirements prioritize OpenAI's ecosystem, specific tokenizer efficiencies (Exact BPE (o200k_base)), or when your expected prompt-to-completion ratios favor its $10/M input rate.
Opt for Gemini 3.8 Flash when looking for Google's tooling integration, specific context window depth (1.05M tokens), or when output generation volume favors its $3.75/M rate.
At a typical 3:1 input-to-output token mix, Gemini 3.8 Flash is about 93% cheaper than GPT-6 Astra. GPT-6 Astra costs $10 per 1M input and $50 per 1M output tokens; Gemini 3.8 Flash costs $0.75 and $3.75.
GPT-6 Astra has the larger context window: 1.05M tokens vs 1.05M.
GPT-6 Astra: yes, cached input costs $1/1M. Gemini 3.8 Flash: yes, cached input costs $0.075/1M.