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$ diff astra deepseek-v4-pro-0813

Astra vs DeepSeek V4-Pro-0813

Values come from Astra 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
Astra takes 1.1M against 1.0M — modestly more room in a single request.
Input price
DeepSeek V4-Pro-0813 at $0.66/M against $10/M — 15.2× cheaper to feed.
Output price
DeepSeek V4-Pro-0813 at $1.98/M against $50/M — 25.3× 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)); Astra is API-only. That decides self-hosting, air-gapped deployment and fine-tuning before any capability question does.
Recency
Astra shipped 21 days after DeepSeek V4-Pro-0813 (2026-09-03 vs 2026-08-13).

Full spec

AttributeAstraDeepSeek V4-Pro-0813
DeveloperOpenAIDeepSeek
Released2026-09-032026-08-13
Context window1,050,000 tokens (128,000 max output)1,048,576 (1M) — 384K max output
Pricing$10/M input · $50/M output$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)
AvailabilityChatGPT Plus, Pro, Business, Enterprise · OpenAI API · AWS — staged, see belowDeepSeek API (Responses format, Codex-adapted), Hugging Face (`deepseek-ai/DeepSeek-V4-Pro-0813`)

How these pages are produced

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