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Model details

DeepSeek V4 Pro 0813 (Alibaba)

DeepSeek V4 Pro 0813 is built for complex reasoning and long-form text work, combining a 1.6-trillion-parameter Mixture-of-Experts design with about 49 billion active parameters across 61 layers. Its use of FP4 experts, FP8 mixed precision, Muon optimization, and YaRN-based context extension points toward efficient handling of demanding language tasks and very long inputs.

The model is a strong fit for code generation, agentic workflows, and other tasks that benefit from broad context and sustained reasoning. Reported evaluation results include a 53 Artificial Analysis Intelligence Index score, a 69 coding score, and vendor-published agentic results such as 87.9 on Terminal-Bench 2.1, 62.7 on DeepSWE, and CyberGym performance; these figures are useful for comparison, but the agentic results were produced under DeepSeek's reported evaluation framework and are not all independently replicated.

Eden AIqwen/deepseek-v4-pro-0813deepseek-thinking

Quick Info

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Provider
Eden AI
Model key
qwen/deepseek-v4-pro-0813
Release date
Aug 12, 2026
Last updated
Aug 22, 2026
Input modalities
Output modalities
Capabilities

Cost

Input token cost
$0.66
Output token cost
$1.98

Limits

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

Transparent token rates

Compare DeepSeek V4 Pro 0813 (Alibaba) 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 0813 (Alibaba)

Eden AI

CoveragePreview

GMI Cloud's August 12, 2026 blog post confirms that DeepSeek V4 Pro left preview status on that date, with the official deepseek-v4-pro endpoint now pointing to the 0813 build as documented on DeepSeek's API and pricing pages. The article details the architecture as a 1.6 trillion-parameter Mixture-of-Experts model wit For developers and Eden AI integrators, the post reports that Pro pricing carries over from preview at approximately $0.435 per million input tokens on a cache miss, $0.003625 per million on a cache hit, and $0.87 to $0.93 per million output tokens depending on provider, with concurrency capped at 500 requests on Pro v

Eden AI

CoverageBenchmark

InferenceX's model page provides a deep architectural breakdown of the DeepSeek V4 series, sourced from the official DeepSeek-V4-Pro model card, the DeepSeek API news page dated April 24, 2026, and the arXiv technical report (arXiv:2606.19348). The model is described as a 61-layer MoE with 1.6T total and 49B active par For engineers consuming the qwen/deepseek-v4-pro-0813 endpoint via Eden AI, the practical implications are that the model combines FP4 experts with FP8 mixed precision, uses the Muon optimizer during training, applies YaRN RoPE to extend context to 1M tokens, has a vocabulary of 129,280 with embedding dimension 7,168,

Eden AI

CoverageBenchmark

This third-party aggregator blog consolidates the DeepSeek V4 Pro 0813 benchmark picture, listing the build dated 2026-08-12 with an Artificial Analysis Intelligence Index of 53 and Coding score of 69. It reports DeepSeek's vendor-published agentic numbers — Terminal-Bench 2.1 at 87.9, DeepSWE at 62.7, and CyberGym at For Eden AI users evaluating the qwen/deepseek-v4-pro-0813 endpoint, the relevant takeaways are that headline scores are vendor-reported under DeepSeek's new Harness framework and remain only partially replicated by third-party evaluators, and that broader model listings on the same page include nearby launches such as

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