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DeepSeek V4 Pro (Tencent Cloud)

DeepSeek V4 Pro sits as a flagship member of DeepSeek's V4 generation of large language models, preceding the smaller V4.1 Flash variant that DeepSeek later released as the entry point into the same architectural family. The V4.1 Flash launch explicitly positions V4 Pro as a higher-tier flagship whose benchmark performance V4.1 Flash surpasses, framing V4 Pro as the stronger reference point for users who need the top of the V4 lineup rather than a lightweight sibling. DeepSeek's release cadence around V4 has emphasized reasoning-focused assistants and open distribution, and V4 Pro represents the prior peak of that trajectory before the V4.1 family expanded access to the underlying architecture.

In practical terms, DeepSeek V4 Pro is best understood as a reasoning-oriented flagship aimed at demanding language workloads where benchmark leadership matters more than footprint efficiency. Teams that found the V4.1 Flash release too narrow for their accuracy needs can look to V4 Pro as the higher-capacity predecessor within the same generation, making it a natural choice for complex analysis, multi-step problem solving, and tool-augmented workflows that benefit from the stronger reasoning profile. Because the public evidence so far centers on the V4.1 Flash launch with V4 Pro cited as the benchmark reference, V4 Pro's role going forward is that of the established flagship whose successor ecosystem is now being built around it.

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Model key
tencent/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
$0.435
Output token cost
$0.87

Limits

Output tokens
393,216 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 (Tencent Cloud)

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CoverageBenchmark

An independent technical explainer from Miraflow.ai details the general-availability release of DeepSeek-V4-Pro-0813 on August 13, 2026, describing a hybrid attention architecture and a 1M-token context window that the underlying paper claims achieves substantial long-context efficiency gains. The piece notes the rollo For practitioners, the explainer highlights where DeepSeek-V4-Pro-0813 reportedly wins (agentic workloads, long context handling) and where independent benchmarkers found it underperformed earlier marketing claims, offering a measured view of the model's capabilities and limitations. The piece anchors the V4 Pro varian

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