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Model details

DeepSeek V4 Pro 0813

DeepSeek V4 Pro 0813 is positioned as the general-availability release of the DeepSeek V4 Pro line, succeeding an earlier preview build and refining it for production deployment. The Fireworks AI listing describes the model as carrying forward the DeepSeek-V4-Pro Preview structure while attaching a DSpark speculative decoding module, a design that aims to accelerate inference without retraining the underlying weights. The same source highlights that agentic capabilities, meaning the model's behavior when driving tool-using or multi-step workflows, were a primary focus of this release, with improvements that the provider says are especially visible in production-style environments.

Beyond the architecture note, the practical surface area of this release is shaped by where it is hosted and how teams can interact with it. Fireworks AI exposes the model through a serverless API, an on-demand deployment path, and a fine-tuning flow that uses LoRA-style customization over a documented base model path, which makes it approachable both for quick experimentation and for teams that want to specialize the model on their own data. The model also appears on DeepInfra under the text-generation category, suggesting that comparable hosted inference is available from a second provider. Taken together, the release reads as a stable, deployable variant of DeepSeek V4 Pro aimed at teams that want production-grade agentic reasoning with the flexibility of multiple inference backends.

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Quick Info

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Provider
Volcengine Ark
Model key
deepseek-v4-pro-ga-260813
Release date
Aug 12, 2026
Last updated
Aug 22, 2026
Input modalities
Output modalities
Capabilities

Cost

Input token cost
$1.3359
Output token cost
$4.00771

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 0813

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Coverage

DeepSeek officially released V4-Pro on its app, web interface, and API on August 13, 2026, after months in preview since April, with the GA build designated DeepSeek-V4-Pro-0813. Per company-published benchmarks cited in coverage, the model scored 87.9 on Terminal Bench 2.1, 62.7 on DeepSWE, and 61.5 on NL2Repo, reflec The V4-Pro API was updated to natively support the OpenAI Responses API format and includes built-in Codex integration, and thinking effort for both V4-Pro and V4-Flash was expanded to low, high, and max settings so developers can match computation intensity to task complexity. A price increase for the V4 family takes

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CoverageBenchmark

DeepSeek V4 Pro 0813 was tracked by BenchLM.ai as a reasoning-capable proprietary model released on August 13, 2026, with a 1M-token context window. The aggregator assigns it a composite capability score of 66.6/100, placing it 31st out of 232 ranked models, with its strongest eligible category being Reasoning (rank 15 API pricing for the 0813 variant is listed at $0.435 per million input tokens and $0.87 per million output tokens, with cached input priced at $0.003625 and a blended rate of $0.65 per million tokens. Throughput is recorded at 91 tokens/second (matching the field median) with a first-token latency of 23.62 seconds. The

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CoverageBenchmark

The AI Release Tracker entry for DeepSeek-V4-Pro-0813 records an August 13, 2026 release by DeepSeek, arriving 13 days after DeepSeek-V4-Flash-0731, and lists benchmark coverage spanning BullshitBench v2, SWE-Bench Verified, Terminal-Bench 2.1, Toolathlon-Verified, BrowseComp, CyberGym, and two additional suites. The t The page also tabulates per-provider availability with input, output, and context figures for DeepSeek-V4-Pro-0813, giving developers a single cross-reference for evaluating serving routes, though it does not enumerate Volcengine Ark specifically in the supplied excerpt. Compared with the aggregator's verified pricing,

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Coverage

The NVIDIA NIM-hosted third-party model card for DeepSeek-V4-Pro-0813 describes it as DeepSeek-AI's official DeepSeek-V4-Pro release, superseding the prior preview. The architecture is a Transformer-based Sparse Mixture-of-Experts with 1.65T total parameters and 49B active parameters, using a vocabulary of 129,280, and The card targets text generation, reasoning, coding, and agentic tool-use workflows, and explicitly cites the DeepSeek-V4-Pro-0813 model page, the DeepSeek-V4 Technical Report, the DeepSeek Chat Interface, a vLLM recipe for DeepSeek-V4-Pro, and an SGLang Cookbook for DeepSeek-V4 as references for deployment. NVIDIA dis

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