
DeepSeek has released V4 Pro 0813, its latest Pro model, accessible via API through OpenRouter.
While the company has not made an official announcement, DeepSeek's history of open-sourcing earlier Pro versions (April's V4-Pro and July's V4-Flash-0731) suggests open weights may be forthcoming.
The model reportedly produces noticeably different outputs at different reasoning levels—a distinction the author has not seen in other models.
What happened
DeepSeek released V4 Pro 0813, its latest Pro model, available through OpenRouter via API. The company has not published an official announcement page for the model.
Why it matters
DeepSeek's track record of open-sourcing previous Pro versions (V4-Pro in April and V4-Flash-0731 in July) suggests open weights may follow, though the company has not confirmed plans. The model appears to generate visibly different outputs depending on reasoning level (low, medium, high), a behavior the author has not observed in other models.
What to watch
Availability is currently API-only via OpenRouter; benchmark data has circulated informally through WeChat, Reddit, and Hacker News rather than official channels.
DeepSeek has made V4 Pro 0813 available via API on OpenRouter, the latest iteration in its Pro model line. However, the release lacks a formal announcement from DeepSeek itself—the author had to link to OpenRouter because "DeepSeek don't have any obvious announcement page for their new model." This follows a pattern established by earlier releases: DeepSeek published open weights for both the April V4-Pro and the July V4-Flash-0731 model, suggesting the company may eventually open-source V4 Pro 0813 as well, though no confirmation has been made. One technical distinction the author noted is that the model produces visibly different outputs at different reasoning levels. When testing with low, medium, and high reasoning settings, the author received "very different looking pelicans" for each level—a behavior the author has not seen in other models, suggesting a potentially novel approach to how reasoning level affects output generation. Benchmark data for the model has not been officially published by DeepSeek but has instead circulated informally through community channels: first shared in the Official DeepSeek WeChat Group, then posted to Reddit (where moderators deleted it for being "low-effort"), and subsequently converted into an ASCII-art table on Hacker News.
DeepSeek's release of V4 Pro 0813 continues the company's pattern of iterative Pro model releases—the body mentions April's V4-Pro and July's V4-Flash-0731 as predecessors. The lack of an official announcement suggests a quiet or informal rollout, with benchmark results circulating through community channels (WeChat, Reddit, Hacker News) rather than corporate communication. This mirrors DeepSeek's broader strategy of making models available first and formalizing announcements later. The model's apparent ability to generate visually distinct outputs across reasoning levels (low, medium, high) marks a notable technical characteristic; the author explicitly notes not having observed this behavior in other models, implying it may be a distinguishing feature worth monitoring.
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