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DeepSeek V4 Pro 0813

摘要

这是 DeepSeek V4 Pro 0813 在 OpenRouter 上的模型页面。该模型为 DeepSeek 的混合专家(MoE)大规模模型,属于 V4 Pro 的正式发布(GA)版本。页面列出关键信息:输入 / 输出价格分别为每百万 token 0.435 美元和 0.87 美元,上下文窗口为 1M,发布于 2026 年 8 月 12 日。模型由单一提供商托管,OpenRouter 直接转发请求。页面还包含实际支付均价、吞吐量、延迟、TTFT、近 30 天可用率、基准测试得分及百分位排名、使用该模型流量最高的公开应用、活动趋势等板块,并提供 OpenAI 兼容的快速开始调用代码。

荐读理由

这是 DeepSeek V4 Pro 的正式发布版,1M 上下文、每百万 token 输入 0.435 美元,OpenRouter 直连且 API 兼容 OpenAI,你换 base URL 就能直接接入现有项目,定价和吞吐数据也能帮你判断是否值得替换当前模型

原文

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DeepSeek: DeepSeek V4 Pro 0813

deepseek/deepseek-v4-pro-0813

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DeepSeek V4 Pro 0813 is a large-scale mixture-of-experts model from DeepSeek. This is the GA release of DeepSeek V4 Pro.

Modalities

In / Out Price

$0.435 / $0.87per 1M

Context

1M

Released

Aug 12, 2026

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Providers

This model is hosted by one provider. OpenRouter forwards every request to it directly — no routing decisions to make.

Pricing

The average price customers actually pay for this model, next to the prices providers post. Caching and discounts mean the price actually paid is often well below the listed one.

Performance

Throughput is how fast the model writes (tokens per second — higher is better). Latency is total round-trip time (lower is better). TTFT is time-to-first-token — how long before you see anything appear (lower is better).

Uptime

Percent of requests that succeeded over the last 30 days. OpenRouter monitors every provider continuously and automatically retries on the next-best provider when one returns an error.

Benchmarks

Scores on standardized evaluations. Higher percentages are better — and rank percentile shows where this model lands among all models on OpenRouter.

Apps

Public apps that send the most traffic to this model. Good signal for what real production workloads look like — and a hint at which use cases this model is best suited for.

Activity

Token volume and request traffic to this model over time.

Quick Start

Drop-in code to call this model. OpenRouter's API is OpenAI-compatible — most SDKs work by just swapping the base URL. The only thing that changes between models is the model slug below.

Frequently asked questions

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