DeepSeek-V4-Pro

Aikido's security-focused benchmark study (published August 21, 2026) burned roughly 11.7 billion tokens testing ten contenders across three attempts on 32 fresh, off-the-shelf vulnerabilities. The lineup added GLM-5.3, DeepSeek V4 Pro 0813, DeepSeek V4 Flash 0731, Qwen3.8-Max, Kimi K3, and Grok 4.6 to its evaluation, The study concludes that open-source models now outperform the public closed frontier on pooled vulnerability recall, with DeepSeek V4 Pro topping every public closed model tested and Qwen, Kimi, and GLM-5.3 offering strong consistency. It also flags a trade-off: while coverage rose, the cheaper open models produced th

Quartz's article reports the official general-availability launch of DeepSeek-V4-Pro-0813 on Thursday, August 13, 2026, following an April preview period. It states that the GA checkpoint focuses on agent capabilities — tool use, code execution, and multi-step workflows — and lists DeepSeek's own benchmark numbers: Ter The piece additionally documents a pricing restructure effective 16:00 UTC on August 16, 2026: V4-Pro output tokens were set to rise to $3.96 per million at peak hours from a prior flat rate of $0.87 per million, alongside a new peak/off-peak billing split. These are model-level capability and pricing facts drawn from

The release-tracker page documents DeepSeek-V4-Pro-0813, released on August 13, 2026, as a model-level update from DeepSeek itself. It enumerates the benchmark suites used to evaluate the model — BullshitBench v2, SWE-Bench Verified, Terminal-Bench 2.1, Toolathlon-Verified, BrowseComp, CyberGym, and two additional test The page is centered on the model itself rather than on any serving provider, which is appropriate for a model-focused subject. It also lists DeepSeek as the operator running the model and answering requests, with context-window and provider-availability fields that go beyond pure pricing. There is no Azure-specific ho

The DeepSeek API change log dated September 10, 2026 announces DeepSeek-V4.1-Flash as the smallest model in a new architecture family with native multimodal visual understanding, and explicitly states that V4.1 Flash now outperforms DeepSeek V4 Pro across performance, cost, speed, and total time. It documents a concret Critically for the DeepSeek-V4-Pro subject, the changelog announces an orderly retirement of V4 Pro: after 12:00 Beijing Time on September 14, 2026, and until the future release of V4.1 Pro, all requests to deepseek-v4-pro will be routed to V4.1 Flash and billed at V4.1 Flash pricing. This is a model-level behavioral c