DeepSeek V4 Pro 0813
openrouter.ai
August 12, 2026
1 min read
🔥🔥🔥🔥🔥
75/100
Summary
DeepSeek V4 Pro 0813 is hosted by a single provider with OpenRouter forwarding requests directly. Average customer prices are often lower than listed due to caching and discounts, while performance metrics include throughput (tokens per second), latency (total round-trip time), and TTFT (time-to-first-token).
Key Takeaways
- DeepSeek V4 Pro is hosted by a single provider, with OpenRouter forwarding requests directly to it.
- The average price paid by customers for the model is often lower than the listed price due to caching and discounts.
- OpenRouter monitors provider performance continuously, automatically retrying requests on the next-best provider in case of errors.
- The API for DeepSeek V4 Pro is OpenAI-compatible, allowing for easy integration with existing SDKs by changing only the model slug.
Coverage & discussions
Hacker News · openrouter.ai
Community discussions
Hacker News discussion ↗
Historical count: 5 · 5 saved in sample · Historical sample
Analysis ready
Community Sentiment
Positives
- DeepSeek Flash is being hailed as a 'too cheap to meter' model, with users reporting impressive capabilities for heavy development tasks at a fraction of the cost.
- Many commenters are thrilled about the performance of DeepSeek, stating it can handle complex tasks effectively, with one user noting it can deploy applications with just a few commands.
- Despite some concerns, several users find the latest DeepSeek update remarkably capable for the price, making it an appealing option for developers looking for reliable AI assistance.
Concerns
- Several users are frustrated with DeepSeek V4 Pro's performance, noting it produced bugs and took significantly longer to complete tasks compared to competitors like Grok.
- Commenters are wary of the increasing costs associated with the DeepSeek API, with one user lamenting the rapid burn of funds while others express concern over the model's reliability.
- The privacy policy of DeepSeek has raised red flags among users, as it allows the company to train off user prompts and completions, which many find unacceptable.
