Side-by-side technical and economic comparison between OpenAI's GPT-5.6 Sol and DeepSeek's DeepSeek-V4.1-Flash.
| Metric | GPT-5.6 Sol | DeepSeek-V4.1-Flash | Advantage |
|---|---|---|---|
| Provider Organization | OpenAI | DeepSeek | — |
| Standard Input / 1M | $4.00 | $0.30 | DeepSeek-V4.1-Flash (93% lower) |
| Cached Input / 1M | $0.40 | $0.006 | DeepSeek-V4.1-Flash lower |
| Output / 1M | $20.00 | $1.20 | DeepSeek-V4.1-Flash lower |
| Context Window | 1.05M | 1.05M | GPT-5.6 Sol (1.05M) |
| Max Generation Tokens | 16.4k | 384k | DeepSeek-V4.1-Flash |
| Tokenizer Family | OpenAI o200k_base (200k vocabulary) | DeepSeek Byte-Level BPE (100k vocabulary) | — |
| Workload (per month) | GPT-5.6 Sol | DeepSeek-V4.1-Flash |
|---|---|---|
| Chatbot10k requests · 500 in / 200 out | $60.00 | $3.90 |
| RAG app100k requests · 8,000 in / 1,200 out | $5,600.00 | $384.00 |
| Coding agent100k requests · 12,000 in / 2,000 out | $8,800.00 | $600.00 |
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 DeepSeek-V4.1-Flash when looking for DeepSeek's tooling integration, specific context window depth (1.05M tokens), or when output generation volume favors its $1.2/M rate.
At a typical 3:1 input-to-output token mix, DeepSeek-V4.1-Flash is about 93% cheaper than GPT-5.6 Sol. GPT-5.6 Sol costs $4 per 1M input and $20 per 1M output tokens; DeepSeek-V4.1-Flash costs $0.3 and $1.2.
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. DeepSeek-V4.1-Flash: yes, cached input costs $0.006/1M.