--- title: DeepSeek V4 Pro 0813 | daily.dev description: DeepSeek V4 Pro 0813 is the general availability release of a large-scale mixture-of-experts model, priced at $0.435 per million input tokens and $0.87 per... canonical: https://daily.dev/posts/deepseek-v4-pro-0813-b1mmdmajb twitter:card: summary_large_image twitter:site: @dailydotdev og:type: website og:site_name: daily.dev og:title: DeepSeek V4 Pro 0813 | daily.dev og:description: DeepSeek V4 Pro 0813 is the general availability release of a large-scale mixture-of-experts model, priced at $0.435 per million input tokens and $0.87 per... og:url: https://daily.dev/posts/deepseek-v4-pro-0813-b1mmdmajb og:image: https://api.daily.dev/og/posts/b1MmDMaJb.png og:image:alt: DeepSeek V4 Pro 0813 og:image:width: 1200 og:image:height: 630 og:locale: en --- > ## Documentation Index > Fetch the complete documentation index at: https://daily.dev/llms.txt > Use this file to discover all available pages before exploring further. # DeepSeek V4 Pro 0813 **[Hacker News](https://daily.dev/sources/hn)** · 5 min read · 1 upvotes · 0 comments ## Summary DeepSeek V4 Pro 0813 is the general availability release of a large-scale mixture-of-experts model, priced at $0.435 per million input tokens and $0.87 per million output tokens, with a 1M token context window and up to 384,000 output tokens. It is accessible via OpenRouter, hosted by a single provider, with 100% average uptime over the past three days. Top applications sending traffic to the model include SillyTavern, Janitor AI, and Open WebUI. Integration is possible through OpenRouter's OpenAI-compatible API, Anthropic Messages format, or the Responses API, with support for reasoning tokens and streaming. ## Full article daily.dev links to this article rather than hosting it. Read it at the original source: ## Questions this post answers ### What is the API pricing for DeepSeek V4 Pro 0813 on OpenRouter? DeepSeek V4 Pro 0813 costs $0.435 per million input tokens and $0.87 per million output tokens at the listed provider rate. The weighted average price customers actually pay is lower, around $0.04999 per million input tokens and $0.8698 per million output tokens, due to caching and discounts. It supports a 1,048,576 token context window and up to 384,000 output tokens. _Developers comparing LLM API costs can track pricing shifts like this via daily.dev._ ### What is the context window and max output for DeepSeek V4 Pro 0813? DeepSeek V4 Pro 0813 has a context window of 1,048,576 tokens (1M) and a maximum output of 384,000 tokens. It is a large-scale mixture-of-experts model released as the general availability version of DeepSeek V4 Pro on August 12, 2026, and is accessible through OpenRouter's API. _Keep up with new model context and output limits relevant to your builds on daily.dev._ ## Community take How the wider developer community reacted, aggregated from 1 discussion and 91 comments across hackernews (as of 2026-08-13). **TL;DR:** Reception is largely a value-for-money debate: many find V4 Pro 0813 impressively cheap and competitive with pricier frontier models, but plenty argue the cheaper Flash variant already delivers similar quality, making Pro's premium hard to justify. **Sentiment:** 40% positive · 45% mixed · 15% skeptical **The case for** - Extremely cheap per-task cost compared to Opus-class models, especially factoring in cache discounts. - Benchmarks show clear gains over the previous Flash checkpoint on coding/agentic tasks. - Some report it plans tasks well when paired with Flash for implementation. - Its excellent caching and low pricing make it feel 'too cheap to meter' for heavy usage. **The pushback** - Many argue the cheaper Flash model gets 80-90% of the way there, making Pro's price premium not worth it. - Benchmarks put it behind Kimi-K3 and other frontier models on several tasks. - Burns a very high number of tokens to complete tasks despite low per-token cost. - No vision support, unlike some competitors. - Concerns about data privacy/training policy and geopolitical risk of using a Chinese-hosted model. **By community** - hackernews (mixed): Extensive discussion weighing V4 Pro's benchmark gains and cost efficiency against whether it's actually worth the price jump over Flash, alongside side debates on China-hosting risk, pricing transparency, and comparisons to Opus, Kimi, and other competitors. **Hottest debate:** Whether the more expensive Pro model is actually worth it over the much cheaper Flash model, which many feel already delivers comparable real-world results. **Open questions** - Will DeepSeek actually raise prices soon, and by how much? - How does V4 Pro really compare in practice (not just benchmarks) to Kimi-K3, GLM-5.2, and Opus 5? - Will additional third-party hosting providers reduce reliance on DeepSeek's own data-training policy? **Highlights** > So not worth it over flash? Even at ~7x the size it isn't worth the price hike. Flash may be a monster of a model due to all the RL it received from free usage everywhere. > — [Gecko4072 on hackernews · 5 comments](https://news.ycombinator.com/item?id=49275256) > If that wasn't impressive enough, it's actually ~60x cheaper if you take into account the typical cache-read/input/output split in agentic coding, and the deep discount for cache reads offered by DeepSeek. Opencode has some public data on the typical split [1]: For DeepSeek V4 Pro the typical split is 750 in, 290 out, 82k cached. Cost per request for V4 Pro: $0.000875 per request. Equivalent Opus cost (w/o taking into account cache write costs): $0.052 per request. [1] https://opencode.ai/docs/go/#usage-limits > — [xynelius on hackernews](https://news.ycombinator.com/item?id=49275775) > Benchmarks: | Benchmark | DS-V4-Pro | DS-V4-Flash | DS-V4-Pro | DS-V4-Flash | GLM-5.2 | Kimi-K3 | Opus-4.8 | Fable 5 | | | 0813 | 0731 | Preview | Preview | | | | (w/ fallback) | |--------------------------|-----------|-------------|-----------|-------------|-----------|-----------|-----------|---------------| | HLE (wo/w tools) | 42.7/60.0 | 37.8/51.5 | 37.7/48.2 | 34.8/45.1 | 40.5/54.7 | 43.5/56.0 | 49.8/57.9 | 53.3/63.0 | | Terminal Bench 2.1 | 87.9 | 82.7 | 72.1 | 61.8 | 81.0 | 88.3 | 85.0 | 88.0 | | NL2Repo | 61.5 | 54.2 | 38.5 | 39.4 | 48.9 | - | 69.7 | - | | Cybergym | 83.3 | 76.7 | 52.7 | 38.7 | - | 80.0 | 78.3 | 83.1 | | DeepSWE | 62.7 | 54.4 | 12.8 | 7.3 | 46.2 | 67.5 | 58.0 | 70.0 | | Toolathlon-Verified | 74.1 | 70.3 | 55.9 | 49.7 | 59.9 | 76.5 | 76.2 | 77.9 | | Agents' Last Exam | 25.7 | 25.2 | 16.5 | 15.8 | 23.8 | 27.6 | 25.7 | - | | AutomationBench (Public) | 31.8 | 25.1 | 12.8 | 10.8 | 12.9 | 30.8 | 27.2 | 29.1 | | DSBench-FullStack | 71.1 | 68.7 | 41.8 | 37.0 | 61.8 | 73.7 | 71.6 | 77.2 | | DSBench-Hard | 67.2 | 59.6 | 31.1 | 25.8 | 54.5 | 63.0 | 71.7 | 68.3 | Source: https://reddit.com/r/LocalLLaMA/comments/1vmi0fg/deepseek_v4... > — [scrlk on hackernews · 4 comments](https://news.ycombinator.com/item?id=49275180) > Even though cost-per-token is low, Deepseek v4 tends to burn an immense number of tokens to accomplish tasks. > — [nullbyte on hackernews](https://news.ycombinator.com/item?id=49276127) > Geometric mean of all these benchmarks : * GPT-5.6 Sol: 65.5 * Fable 5 (w/ fallback): 64.5 * Opus 5: 64.0 * DS-V4-Pro 0813: 62.5 * Kimi-K3: 62.3 * DS-V4-Flash 0731: 55.8 * GLM-5.2: 47.3 > — [goldenarm on hackernews · 1 comments](https://news.ycombinator.com/item?id=49275754) **Source threads** - [hackernews](https://news.ycombinator.com/item?id=49274600) · 249 points · 91 comments ## Similar posts on daily.dev - [Models & Pricing](https://daily.dev/posts/models-pricing-6vw4gyejf) · Hacker News · 2 upvotes · 0 comments - [DeepSeek’s steep V4-Pro price cut escalates AI pricing war](https://daily.dev/posts/deepseek-s-steep-v4-pro-price-cut-escalates-ai-pricing-war-ssyvrmhnt) · InfoWorld · 0 upvotes · 0 comments --- Tags: [#llm](https://daily.dev/tags/llm), [#deepseek](https://daily.dev/tags/deepseek), [#mixture-of-experts](https://daily.dev/tags/mixture-of-experts), [#openrouter](https://daily.dev/tags/openrouter) [View this post on daily.dev](https://daily.dev/posts/deepseek-v4-pro-0813-b1mmdmajb) ```json {"@context":"https://schema.org","@graph":[{"@type":"Organization","@id":"https://daily.dev/#organization","name":"daily.dev","url":"https://daily.dev","logo":{"@type":"ImageObject","url":"https://daily.dev/apple-touch-icon.png","width":180,"height":180},"sameAs":["https://twitter.com/dailydotdev","https://github.com/dailydotdev","https://www.linkedin.com/company/daily-dev-ltd"]},{"@type":"WebSite","@id":"https://daily.dev/#website","url":"https://daily.dev","name":"daily.dev","publisher":{"@id":"https://daily.dev/#organization"},"potentialAction":{"@type":"SearchAction","target":{"@type":"EntryPoint","urlTemplate":"https://daily.dev/search?q={search_term_string}"},"query-input":"required name=search_term_string"}}]} {"@context":"https://schema.org","@type":"TechArticle","headline":"DeepSeek V4 Pro 0813","url":"https://daily.dev/posts/deepseek-v4-pro-0813-b1mmdmajb","mainEntityOfPage":{"@type":"WebPage","@id":"https://daily.dev/posts/deepseek-v4-pro-0813-b1mmdmajb"},"datePublished":"2026-08-12T16:52:41.749Z","dateModified":"2026-08-13T15:45:27.773Z","description":"DeepSeek V4 Pro 0813 is the general availability release of a large-scale mixture-of-experts model, priced at $0.435 per million input tokens and $0.87 per...","image":"https://media.daily.dev/image/upload/s--ZrL_HSsR--/f_auto/v1722860399/public/Placeholder%2006","thumbnailUrl":"https://media.daily.dev/image/upload/s--ZrL_HSsR--/f_auto/v1722860399/public/Placeholder%2006","isAccessibleForFree":true,"articleSection":"Hacker News","inLanguage":"en","publisher":{"@type":"Organization","name":"daily.dev","url":"https://daily.dev","logo":{"@type":"ImageObject","url":"https://daily.dev/apple-touch-icon.png","width":180,"height":180}},"author":{"@type":"Organization","name":"Hacker News","logo":"https://media.daily.dev/image/upload/t_logo,f_auto/v1/logos/hn","url":"https://daily.dev/sources/hn"},"commentCount":0,"discussionUrl":"https://daily.dev/posts/deepseek-v4-pro-0813-b1mmdmajb","interactionStatistic":[{"@type":"InteractionCounter","interactionType":{"@type":"LikeAction"},"userInteractionCount":1},{"@type":"InteractionCounter","interactionType":{"@type":"CommentAction"},"userInteractionCount":0}],"keywords":"llm,deepseek,mixture-of-experts,openrouter","timeRequired":"PT5M"} {"@context":"https://schema.org","@type":"BreadcrumbList","itemListElement":[{"@type":"ListItem","position":1,"name":"Home","item":"https://daily.dev"},{"@type":"ListItem","position":2,"name":"Hacker News","item":"https://daily.dev/sources/hn"},{"@type":"ListItem","position":3,"name":"DeepSeek V4 Pro 0813"}]} {"@context":"https://schema.org","@type":"FAQPage","@id":"https://daily.dev/posts/deepseek-v4-pro-0813-b1mmdmajb#faq","mainEntity":[{"@type":"Question","name":"What is the API pricing for DeepSeek V4 Pro 0813 on OpenRouter?","acceptedAnswer":{"@type":"Answer","text":"DeepSeek V4 Pro 0813 costs $0.435 per million input tokens and $0.87 per million output tokens at the listed provider rate. 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