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DeepSeek V4 Pro

DeepSeek V4 Pro belongs to the deepseek-thinking family and is built as a 1.6-trillion parameter Mixture-of-Experts architecture released under the MIT license, reflecting DeepSeek's continued investment in open-weight reasoning models. The combination of large-scale MoE capacity and permissive licensing positions it as a foundation for projects that need strong reasoning capabilities without the constraints of proprietary weights. Its placement in a thinking-focused family signals an emphasis on extended internal deliberation before producing answers, which is particularly relevant for tasks requiring multi-step analysis rather than rapid single-shot responses.

A May 2026 evaluation by CAISI at NIST provides an independent government assessment of the model's behavior, complementing the DeepInfra-hosted overview that documents its feature set and performance characteristics. This dual coverage from an inference platform and a standards body suggests the model is being positioned for serious production use in complex software engineering and long-running reasoning workflows, where users benefit from both deployment guidance and external validation. Practitioners considering the model can lean on these sources to understand how it is expected to perform on demanding analytical tasks and how it fits into the broader ecosystem of open-weight reasoning systems.

ClinePasscline-pass/deepseek-v4-prodeepseek-thinking

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Provider
ClinePass
Model key
cline-pass/deepseek-v4-pro
Release date
Apr 24, 2026
Last updated
Apr 24, 2026
Knowledge cutoff
2025-05
Input modalities
Output modalities
Capabilities

Cost

Input token cost
$1.74
Output token cost
$3.48

Limits

Output tokens
384,000 tokens
Context window
1,000,000 tokens

Transparent token rates

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Rates are shown per one million tokens. Combined means one million input plus one million output tokens.

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Latest news about DeepSeek V4 Pro

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Coverage

DeepSeek's official API changelog records that the GA release of DeepSeek-V4-Pro was rolled out on the APP, Web, and API on 2026-08-13, keeping the existing calling method (model='deepseek-v4-pro') but substantially upgrading production-environment agent capabilities. Reported benchmark numbers include HLE 42.7/60.0 (w The same release entry adds native support for the OpenAI Responses API format on the DeepSeek API, specifically adapted for Codex with a one-click configuration script, and extends thinking-mode control on both V4-Pro and V4-Flash to three effort levels: low, high, and max. The page's adjacent 2026-08-21 entry covers

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