$ diff deepseek-v4-pro-0813 gemini-3-7-flash
DeepSeek V4-Pro-0813 vs Gemini 3.7 Flash
Values come from DeepSeek V4-Pro-0813 and Gemini 3.7 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.
DeepSeekDeepSeek V4-Pro-0813
- context
- 1.0M
- weights
- open
- $/M in
- $0.66
- $/M out
- $1.98
- context
- 1M
- weights
- closed
- $/M in
- $0.75
- $/M out
- $3.75
What actually differs
- Context window
- DeepSeek V4-Pro-0813 takes 1.0M against 1M — modestly more room in a single request.
- 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 3.7 Flash is API-only. That decides self-hosting, air-gapped deployment and fine-tuning before any capability question does.
Full spec
| Attribute | DeepSeek V4-Pro-0813 | Gemini 3.7 Flash |
|---|---|---|
| Developer | DeepSeek | Google DeepMind |
| Released | 2026-08-13 | 2026-08-13 |
| Context window | 1,048,576 (1M) — 384K max output | 1,000,000 tokens (64,000 max output) |
| Pricing | $0.66/M input (cache miss) · $1.98/M output off-peak; $1.32 · $3.96 at peak — see Pricing | $0.75/M input · $3.75/M output (introductory, through 2026-12-31) · $1.50/M · $7.50/M from 2027-01-01 |
| License | MIT (open-weight, as reported) | proprietary |
| Availability | DeepSeek API (Responses format, Codex-adapted), Hugging Face (`deepseek-ai/DeepSeek-V4-Pro-0813`) | Gemini API, Google AI Studio, Android Studio, Google Antigravity, Gemini Enterprise Agent Platform, Gemini Enterprise app, Spark in the Gemini app (AI Pro and Ultra) |