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$ diff gpt-6-sol deepseek-v4-1-flash

GPT-6 Sol vs DeepSeek V4.1-Flash

Values come from GPT-6 Sol and DeepSeek V4.1-Flash, where each is cited to its source. This page states no benchmark result and ranks neither model — it puts two published specifications next to each other. Where a lab has not published a figure, the row says so rather than guessing.

What actually differs

Context window
GPT-6 Sol takes 1.1M against 1M — modestly more room in a single request.
Input price
DeepSeek V4.1-Flash at $0.15/M against $2/M — 13.3× cheaper to feed. Standard rates: one of these labs also quotes a lower cached-input tier, which applies only when a prefix is reused — see the full spec below.
Output price
DeepSeek V4.1-Flash at $0.6/M against $10/M — 16.7× cheaper to generate. Output dominates the bill on most agentic workloads, where the model writes far more than it reads.
Weights
DeepSeek V4.1-Flash publishes weights (MIT (open-weight)); GPT-6 Sol is API-only. That decides self-hosting, air-gapped deployment and fine-tuning before any capability question does.
Recency
GPT-6 Sol shipped 12 days after DeepSeek V4.1-Flash (2026-09-22 vs 2026-09-10).

Full spec

AttributeGPT-6 SolDeepSeek V4.1-Flash
DeveloperOpenAIDeepSeek
Released2026-09-222026-09-10
Context window1.05M tokens1,000,000
Pricing$2/M input · $10/M output · cached input $0.20/M$0.15/M input (cache miss) · $0.003/M input (cache hit) · $0.60/M output, off-peak; peak rates double — see Pricing
Licenseproprietary (API-only; no weight release)MIT (open-weight)
AvailabilityChatGPT Work and Codex (Plus, Pro, Business, Enterprise, Edu); OpenAI API as `gpt-6-sol`. Not yet in ChatDeepSeek API, Hugging Face (`deepseek-ai/DeepSeek-V4.1-Flash`)

How these pages are produced

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