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Model details

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

Quick Info

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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

Compare DeepSeek V4 Pro pricing

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

QZ reports that DeepSeek officially released DeepSeek-V4-Pro on Thursday, August 13, 2026, with the general-availability build designated DeepSeek-V4-Pro-0813, after the model had been in preview since April. The article describes the GA version as focused on agent capabilities and cites DeepSeek-released benchmark sco The same article notes that DeepSeek updated the V4-Pro API to work out of the box with the OpenAI Responses API format and to include built-in Codex integration, and that thinking-effort levels for both V4-Pro and V4-Flash were expanded to three settings (low, high, max). It also documents a V4 family price increase t

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CoverageBenchmark

The AI Release Tracker page for DeepSeek-V4-Pro-0813 records the model's release on August 13, 2026, 13 days after DeepSeek-V4-Flash-0731, and lists the benchmarks it covers: BullshitBench v2, SWE-Bench Verified, Terminal-Bench 2.1, Toolathlon-Verified, BrowseComp, CyberGym, plus two more. Pricing shown on the page, cl The same page identifies the Available from Provider section and provides context-window and output-length fields consistent with DeepSeek's V4-Pro GA specifications, and notes rates verified against api-docs.deepseek.com. While the page is a derivative tracker rather than a first-party source, it provides a structured

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Coverage

DeepSeek's official API changelog for 2026-09-10 announces the release of DeepSeek-V4.1-Flash, the smallest model in a new architecture family featuring native multimodal visual understanding and designed for a higher capability ceiling, faster inference, higher throughput, and scaling to larger models. Reported benchm Per the same changelog, V4.1-Flash is called via the model name deepseek-flash on the DeepSeek API with native multimodal support; the previous-generation V4 Flash and V4 Flash Vision Exp have been retired, with their old model names temporarily routed to V4.1 Flash. Notably for V4 Pro users, DeepSeek confirmed it will

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