DeepSeek quietly released its latest flagship model on August 13 DeepSeek V4 Pro 0813, this is another major upgrade after the V3 series. The new model adopts a large-scale hybrid expert (MoE) architecture to support1 million Token ultra-long contextWith a maximum output of 384,000 Tokens, 7 providers have been connected to OpenRouter. The API pricing is $0.435 (input) / $0.87 (output) per million Tokens. The price/performance ratio is extremely competitive among similar flagship models.
core competencies
DeepSeek V4 Pro 0813 continues DeepSeek The consistent MoE route has achieved significant improvements in multiple dimensions:
- Very long context: Supports a context window of 1,048,576 Tokens, one of the longest contexts among currently publicly available models, and can handle an entire technical book or a large code base at once
- Extra large output: Maximum single output of 384,000 Tokens, suitable for generating long reports, complete code projects or in-depth analysis documents
- MoE architecture: Large-scale hybrid expert model, improving model capacity and output quality while maintaining inference efficiency
- multiple providers: There are already 7 providers on OpenRouter, ensuring high availability and low latency
- Chinese optimization: As a model developed by a Chinese team, it has naturally excellent Chinese understanding and generation capabilities.
User experience and limitations
DeepSeek V4 Pro 0813 excels in programming, long text understanding, and multilingual tasks. The 1M context window means you can input an entire code repository, multiple technical documents, or a lengthy legal contract all at once, and the model will accurately understand the context. API pricing $0.435/$0.87 per million Tokens, compared to GPT-5.5 and Claude Opus 5 is 5-10 times cheaper, which is a significant cost advantage for developers who need a lot of calls.
However, the model is currently only available on third-party platforms such as OpenRouter.DeepSeek Officials have not yet released detailed technical reports and benchmark data. The extremely large output of 384,000 Tokens may be affected by API rate limits in actual use. In addition, although the MoE architecture improves efficiency, the inference speed still has room for optimization in high-concurrency scenarios.
Overall Score
| 维度 | Score | evaluate |
|---|---|---|
| functional completeness | 9.0 / 10 | 1M context + 384K output + MoE architecture, flagship functional configuration |
| 易用性 | 8.0 / 10 | OpenRouter is easy to access from multiple providers, but official documentation and technical reports are not yet complete. |
| Cost-effectiveness | 9.5 / 10 | The pricing of $0.435/$0.87 is very competitive among flagship models, 5-10 times cheaper than GPT-5.5 |
| 中文支持 | 9.2 / 10 | Developed by a Chinese team, top-notch Chinese understanding and production capabilities, excellent cultural performance in code comments and documentation |
| 输出质量 | 8.8 / 10 | Excellent performance on programming and long text tasks, but lacks official benchmark data support |
Overall rating: 8.9/10
DeepSeek V4 Pro 0813 further solidifies the DeepSeek Leadership in open source/commercial models. For developers who need to process very long texts and pursue cost-effectiveness, this is one of the most noteworthy options currently.
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