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Model details

DeepSeek V4 Pro (DeepSeek)

DeepSeek V4 Pro is a large-scale Mixture-of-Experts model that pairs 1.6 trillion total parameters with 49 billion activated per token, sharing its underlying architecture with the lighter DeepSeek V4 Flash sibling and introducing a hybrid attention system aimed at efficient long-context processing. It exposes a three-tier reasoning control surface, with Non-think, Think High, and Think Max effort modes, allowing callers to trade latency for depth on the same checkpoint. This design positions V4 Pro as the frontier-grade option in the V4 lineup, while Flash is recommended for high-throughput agents and routine reasoning where a smaller active footprint is acceptable.

In benchmark results reported by FriendliAI with Think Max enabled, V4 Pro led the open-weight field on LiveCodeBench at 93.5, Codeforces at 3206, and SWE Verified at 80.6, reinforcing its stated focus on software engineering and multi-step problem solving. The model is offered through OpenRouter's unified API alongside other DeepSeek releases and is also deployable on FriendliAI Dedicated Endpoints, making it practical for full-codebase analysis, multi-step automation, and large-scale information synthesis where both reasoning depth and long-context efficiency matter.

AIHubMixdeep-deepseek-v4-prodeepseek-thinking

Quick Info

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Provider
AIHubMix
Model key
deep-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
$0.478
Output token cost
$0.956

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 (DeepSeek)

AIHubMix

CoverageBenchmark

DeepSeek V4 Pro is documented as an open-weight MoE model from DeepSeek under the MIT license, with the current GA checkpoint V4-Pro-0813 (released August 13, 2026) featuring 1.6 trillion total parameters and 49 billion active per token, paired with a 1-million-token context and 384K maximum output. The supplied page e For self-hosting, the excerpt specifies an 8x B200 node running SGLang with the NVFP4 kernel (referenced Lambda pricing $53.52/hr) or a 4x GB300 node with vLLM as reference configurations for V4 Pro, and reports InferenceX serving throughput of 216 tok/s for a single user on B300 with SGLang FP4. The guide, last update

AIHubMix

CoverageBenchmark

BenchLM's tracker page for DeepSeek V4 Pro 0813 explicitly names the exact checkpoint, confirming its August 13, 2026 release and a 1-million-token context window, with the model ranking 32nd of 232 tracked models at a composite score of 66.4/100 as of September 10, 2026. The excerpt lists category-level rankings: reas The page reports API pricing for V4 Pro 0813 at $0.435 input and $0.87 output per million tokens with cached input at $0.003625 per million (noting a blended $0.65), and measured speed at approximately 69 tok/s with a 30.68-second first-token latency. These figures diverge from the off-peak $0.66/$1.98 tariff cited els

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