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$ diff gemini-3-8-flash deepseek-v4-pro-0813

Gemini 3.8 Flash vs DeepSeek V4-Pro-0813

Values come from Gemini 3.8 Flash and DeepSeek V4-Pro-0813, 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
Identical — both accept 1.0M tokens, so context length is not a reason to pick either.
Input price
DeepSeek V4-Pro-0813 at $0.66/M against $0.75/M — 1.1× cheaper to feed.
Output price
DeepSeek V4-Pro-0813 at $1.98/M against $3.75/M — 1.9× cheaper to generate. Output dominates the bill on most agentic workloads, where the model writes far more than it reads.
Weights
DeepSeek V4-Pro-0813 publishes weights (MIT (open-weight, as reported)); Gemini 3.8 Flash is API-only. That decides self-hosting, air-gapped deployment and fine-tuning before any capability question does.
Recency
Gemini 3.8 Flash shipped 20 days after DeepSeek V4-Pro-0813 (2026-09-02 vs 2026-08-13).

Full spec

AttributeGemini 3.8 FlashDeepSeek V4-Pro-0813
DeveloperGoogle DeepMindDeepSeek
Released2026-09-022026-08-13
Context window1,048,576 tokens (65,536 max output)1,048,576 (1M) — 384K max output
Pricing$0.75/M input · $3.75/M output (introductory, through 2026-12-31) · $1.50/M · $7.50/M from 2027-01-01$0.66/M input (cache miss) · $1.98/M output off-peak; $1.32 · $3.96 at peak — see Pricing
LicenseproprietaryMIT (open-weight, as reported)
AvailabilityGemini API, Google AI Studio, Antigravity, Android Studio, Gemini Enterprise / Gemini Enterprise Agent PlatformDeepSeek API (Responses format, Codex-adapted), Hugging Face (`deepseek-ai/DeepSeek-V4-Pro-0813`)

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