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

Vercel's AI Gateway changelog (June 11, 2026) states explicitly that "Azure is now a provider for DeepSeek V4 Pro and V4 Flash on AI Gateway," with SDK identifiers deepseek/deepseek-v4-pro and deepseek/deepseek-v4-flash. Requests route through Azure automatically with no code changes, and customers can use BYOK with ex This is the cleanest indirect confirmation that Azure exposes DeepSeek-V4-Pro as a callable model, though it is a Vercel-layer announcement rather than an Azure-native model card. It does not specify Azure region, SKU, or quota specifics, but it does validate that DeepSeek-V4-Pro is reachable through Azure in productio

Microsoft's "What's new in Microsoft Foundry | May 2026" devblog confirms that the DeepSeek V4 family expands open-model choice in the Foundry catalog, and separately notes that "Fireworks AI — May update: DeepSeek V4 Pro and Kimi 2.6 arrive via Fireworks for high-performance open-model inference." This is the closest The same Foundry post links DeepSeek-V4-Pro to Fireworks as a delivery path on Azure rather than a first-party Azure SKU, so it does not confirm a native Azure model deployment entry. Readers should treat the Azure availability as catalog/Fireworks-routed rather than a fully Azure-managed deployment. Other May 2026 Fou

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