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$ diff deepseek-v4-flash gpt-5-6-sol

DeepSeek V4-Flash vs GPT-5.6 Sol

Values come from DeepSeek V4-Flash and GPT-5.6 Sol, 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

Input price
DeepSeek V4-Flash at $0.14/M against $5/M — 35.7× 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-Flash at $0.28/M against $30/M — 107.1× cheaper to generate. Output dominates the bill on most agentic workloads, where the model writes far more than it reads.
Weights
DeepSeek V4-Flash publishes weights (MIT (open-weight)); GPT-5.6 Sol is API-only. That decides self-hosting, air-gapped deployment and fine-tuning before any capability question does.
Recency
DeepSeek V4-Flash shipped 22 days after GPT-5.6 Sol (2026-07-31 vs 2026-07-09).

Full spec

AttributeDeepSeek V4-FlashGPT-5.6 Sol
DeveloperDeepSeekOpenAI
Released2026-07-312026-07-09
Context windownot recorded1.05M tokens
Pricing$0.14/M input (cache miss) · $0.0028/M input (cache hit) · $0.28/M output — see Conflicting Reports$5/M input · $30/M output (Sol; family tiers below)
LicenseMIT (open-weight)proprietary (API-only; no weight release)
AvailabilityDeepSeek API (Responses format, Codex-adapted), Hugging Face (`deepseek-ai/DeepSeek-V4-Flash-0731`)ChatGPT (subscription), API

How these pages are produced

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