DeepSeek V4 Pro Stable Release Quietly Goes Live: Agent Performance Rivals Claude Fable 5, API Pricing Unchanged for Now
DeepSeek V4 Pro stable version went live late on August 12, 2026, updating the API model version to DeepSeek V4 Pro 0813; the preview version has now been replaced. The major upgrade focuses on agent capabilities, with the new model surpassing Anthropic's Claude Fable 5 in the AutomationBench and CyberGym benchmarks.
Published byEdited with DeepSeek-V4-FlashImages generated with GPT Image 1.5
DeepSeek V4 Pro stable version went live late on August 12, 2026, updating the API model version to DeepSeek V4 Pro 0813; the preview version has now been replaced.
The major upgrade focuses on agent capabilities, with the new model surpassing Anthropic's Claude Fable 5 in the AutomationBench and CyberGym benchmarks.
deepseek v4 pro正式版DeepSeek V4 Pro 正式版上线，Agent 能力大幅增强，API 定价暂未上调。
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Create a landscape editorial hero image for this Studio Global article: deepseek v4 pro正式版. Article summary: DeepSeek V4 Pro 正式版已上线，API 对应版本为 `DeepSeek-V4-Pro-0813`；此前的预览版已切换为正式版本。官方尚未发布完整技术博客或详细更新日志。[2][3]. Topic tags: general, documentation, general web. Style: premium digital editorial illustration, source-backed research mood, clean composition, high detail, modern web publication hero. Use reference image context only for broad subject, composition, and topical grounding; do not copy the exact image. Avoid: logos, brand marks, copyrighted characters, real person likenesses, fake screenshots, UI text, readable text, watermarks, charts with fake numbers, clickbait thumbnails, icons, and tiny thumbnail layouts. Make it useful as an illustrative visual, not as factual evidence.
openai.com
DeepSeek quietly released the stable version of V4 Pro late on August 12, 2026, Beijing time, without any prior announcement. There were no WeChat articles, technical blogs, or social media teasers — the only sign was a change on the DeepSeek API pricing page, where the model version shifted from preview to DeepSeek-V4-Pro-0813.
This release marks the official graduation of the flagship model that had been running as a preview since April 2026. The preview version had been downloaded over 1.4 million times on Hugging Face, while the stable version surpassed 174,000 downloads in its first week.
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What is the short answer to "DeepSeek V4 Pro Stable Release Quietly Goes Live: Agent Performance Rivals Claude Fable 5, API Pricing Unchanged for Now"?
DeepSeek V4 Pro stable version went live late on August 12, 2026, updating the API model version to DeepSeek V4 Pro 0813; the preview version has now been replaced.
What are the key points to validate first?
DeepSeek V4 Pro stable version went live late on August 12, 2026, updating the API model version to DeepSeek V4 Pro 0813; the preview version has now been replaced. The major upgrade focuses on agent capabilities, with the new model surpassing Anthropic's Claude Fable 5 in the AutomationBench and CyberGym benchmarks.
DeepSeek V4 Pro Stable Release Quietly Goes Live: Agent Performance Rivals Claude Fable 5, API Pricing Unchanged for Now
DeepSeek V4 Pro stable version went live late on August 12, 2026, updating the API model version to DeepSeek V4 Pro 0813; the preview version has now been replaced. The major upgrade focuses on agent capabilities, with the new model surpassing Anthropic's Claude Fable 5 in the AutomationBench and CyberGym benchmarks.
Published byEdited with DeepSeek-V4-FlashImages generated with GPT Image 1.5
DeepSeek V4 Pro stable version went live late on August 12, 2026, updating the API model version to DeepSeek V4 Pro 0813; the preview version has now been replaced.
The major upgrade focuses on agent capabilities, with the new model surpassing Anthropic's Claude Fable 5 in the AutomationBench and CyberGym benchmarks.
deepseek v4 pro正式版DeepSeek V4 Pro 正式版上线，Agent 能力大幅增强，API 定价暂未上调。
AI Prompt
Create a landscape editorial hero image for this Studio Global article: deepseek v4 pro正式版. Article summary: DeepSeek V4 Pro 正式版已上线，API 对应版本为 `DeepSeek-V4-Pro-0813`；此前的预览版已切换为正式版本。官方尚未发布完整技术博客或详细更新日志。[2][3]. Topic tags: general, documentation, general web. Style: premium digital editorial illustration, source-backed research mood, clean composition, high detail, modern web publication hero. Use reference image context only for broad subject, composition, and topical grounding; do not copy the exact image. Avoid: logos, brand marks, copyrighted characters, real person likenesses, fake screenshots, UI text, readable text, watermarks, charts with fake numbers, clickbait thumbnails, icons, and tiny thumbnail layouts. Make it useful as an illustrative visual, not as factual evidence.
openai.com
DeepSeek quietly released the stable version of V4 Pro late on August 12, 2026, Beijing time, without any prior announcement. There were no WeChat articles, technical blogs, or social media teasers — the only sign was a change on the DeepSeek API pricing page, where the model version shifted from preview to DeepSeek-V4-Pro-0813.
This release marks the official graduation of the flagship model that had been running as a preview since April 2026. The preview version had been downloaded over 1.4 million times on Hugging Face, while the stable version surpassed 174,000 downloads in its first week.
Studio Global AI
Continue your research
This page includes a source-backed answer you can continue inside Studio Global.
What is the short answer to "DeepSeek V4 Pro Stable Release Quietly Goes Live: Agent Performance Rivals Claude Fable 5, API Pricing Unchanged for Now"?
DeepSeek V4 Pro stable version went live late on August 12, 2026, updating the API model version to DeepSeek V4 Pro 0813; the preview version has now been replaced.
What are the key points to validate first?
DeepSeek V4 Pro stable version went live late on August 12, 2026, updating the API model version to DeepSeek V4 Pro 0813; the preview version has now been replaced. The major upgrade focuses on agent capabilities, with the new model surpassing Anthropic's Claude Fable 5 in the AutomationBench and CyberGym benchmarks.
DeepSeek V4 Pro is a Mixture-of-Experts (MoE) model with 1.6 trillion total parameters, activating approximately 49 billion parameters per token. It features a context window of up to 1 million tokens and a maximum output length of 384,000 tokens, placing it in the top tier of global AI models.
Notably, V4 Pro employs a hybrid attention design that combines compressed sparse attention with new high-compression attention heads for low-cost long-context prefilling.
The main focus of this update is improving agent performance. DeepSeek released a benchmark comparison chart in its official group chat, showing that the new model's agent capabilities are close to, and in some areas surpass, Anthropic's Claude Fable 5.
According to benchmark data cited by media, V4 Pro stable exceeded Fable 5 in the following two tests:
AutomationBench: Tests whether an AI agent can truly execute tasks
CyberGym: Evaluates the model's offensive and defensive capabilities in cybersecurity
Additionally, V4 Pro stable now supports Responses API and Codex integration, further enhancing its utility as a development tool.
API Pricing and Cost Advantage
Currently, DeepSeek V4 Pro's API pricing has not been raised, maintaining the reduced standard rates. Specific pricing is as follows:
Billing Item
Price (yuan per million tokens)
Input (cache hit)
0.025
Input (cache miss)
3
Output
6
For comparison, its lightweight counterpart V4 Flash charges 0.02 yuan, 1 yuan, and 2 yuan respectively, meaning V4 Pro's output and cache-miss input costs are three times those of V4 Flash.
DeepSeek's pricing strategy is extremely competitive. According to reports, V4 Pro's performance is close to Fable 5, but its price is only about 2% of the latter. However, the DeepSeek website has already indicated a significant overall API price increase in the near future.
Benchmark Data Notes
It should be noted that the benchmark data for V4 Pro stable is currently derived from a comparison chart released in DeepSeek's official group chat and has not yet been independently verified by third parties on a large scale. Therefore, conclusions about "close to/surpassing" other models should be taken with caution.
DeepSeek has not yet published any official changelog or technical blog detailing the specific improvements and performance data of V4 Pro stable.
Summary
The quiet launch of DeepSeek V4 Pro stable showcases significant progress in agent capabilities while maintaining a highly competitive pricing structure. Although official details are limited, the published data suggests V4 Pro has become a strong contender in the top tier of global AI models. For developers and enterprise users, this means a powerful yet cost-effective new option.
DeepSeek V4 Pro is a Mixture-of-Experts (MoE) model with 1.6 trillion total parameters, activating approximately 49 billion parameters per token. It features a context window of up to 1 million tokens and a maximum output length of 384,000 tokens, placing it in the top tier of global AI models.
Notably, V4 Pro employs a hybrid attention design that combines compressed sparse attention with new high-compression attention heads for low-cost long-context prefilling.
The main focus of this update is improving agent performance. DeepSeek released a benchmark comparison chart in its official group chat, showing that the new model's agent capabilities are close to, and in some areas surpass, Anthropic's Claude Fable 5.
According to benchmark data cited by media, V4 Pro stable exceeded Fable 5 in the following two tests:
AutomationBench: Tests whether an AI agent can truly execute tasks
CyberGym: Evaluates the model's offensive and defensive capabilities in cybersecurity
Additionally, V4 Pro stable now supports Responses API and Codex integration, further enhancing its utility as a development tool.
API Pricing and Cost Advantage
Currently, DeepSeek V4 Pro's API pricing has not been raised, maintaining the reduced standard rates. Specific pricing is as follows:
Billing Item
Price (yuan per million tokens)
Input (cache hit)
0.025
Input (cache miss)
3
Output
6
For comparison, its lightweight counterpart V4 Flash charges 0.02 yuan, 1 yuan, and 2 yuan respectively, meaning V4 Pro's output and cache-miss input costs are three times those of V4 Flash.
DeepSeek's pricing strategy is extremely competitive. According to reports, V4 Pro's performance is close to Fable 5, but its price is only about 2% of the latter. However, the DeepSeek website has already indicated a significant overall API price increase in the near future.
Benchmark Data Notes
It should be noted that the benchmark data for V4 Pro stable is currently derived from a comparison chart released in DeepSeek's official group chat and has not yet been independently verified by third parties on a large scale. Therefore, conclusions about "close to/surpassing" other models should be taken with caution.
DeepSeek has not yet published any official changelog or technical blog detailing the specific improvements and performance data of V4 Pro stable.
Summary
The quiet launch of DeepSeek V4 Pro stable showcases significant progress in agent capabilities while maintaining a highly competitive pricing structure. Although official details are limited, the published data suggests V4 Pro has become a strong contender in the top tier of global AI models. For developers and enterprise users, this means a powerful yet cost-effective new option.
