Side-by-side technical and economic comparison between OpenAI's GPT-5.6 Sol and Google's Gemini 3.8 Flash.
| Metric | GPT-5.6 Sol | Gemini 3.8 Flash | Advantage |
|---|---|---|---|
| Provider Organization | OpenAI | — | |
| Standard Input / 1M | $4.00 | $0.75 | Gemini 3.8 Flash (81% lower) |
| Cached Input / 1M | $0.40 | $0.075 | Gemini 3.8 Flash lower |
| Output / 1M | $20.00 | $3.75 | Gemini 3.8 Flash lower |
| Context Window | 1.05M | 1.05M | GPT-5.6 Sol (1.05M) |
| Max Generation Tokens | 16.4k | 16.4k | GPT-5.6 Sol |
| Tokenizer Family | OpenAI o200k_base (200k vocabulary) | Google Gemini SentencePiece (256k vocabulary) | — |
| Workload (per month) | GPT-5.6 Sol | Gemini 3.8 Flash |
|---|---|---|
| Chatbot10k requests · 500 in / 200 out | $60.00 | $11.25 |
| RAG app100k requests · 8,000 in / 1,200 out | $5,600.00 | $1,050.00 |
| Coding agent100k requests · 12,000 in / 2,000 out | $8,800.00 | $1,650.00 |
Standard rates, no caching or batch discounts. Model your own numbers below.
Opt for GPT-5.6 Sol 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 $4/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 81% cheaper than GPT-5.6 Sol. GPT-5.6 Sol costs $4 per 1M input and $20 per 1M output tokens; Gemini 3.8 Flash costs $0.75 and $3.75.
GPT-5.6 Sol has the larger context window: 1.05M tokens vs 1.05M.
GPT-5.6 Sol: yes, cached input costs $0.4/1M. Gemini 3.8 Flash: yes, cached input costs $0.075/1M.