CityLife Tech Hub - deepseek-v4-flash
type: channel
link: https://www.citylife-asia.com/tag/deepseek-v4-flash/
items: DeepSeek-V4 Preview: Entering the Era of Affordable Million-Token Context
items: DeepSeek V4 Preview Launches Today: 1M Context Free as Standard, Agentic Coding Beats Sonnet 4.5

DeepSeek-V4 Preview: Entering the Era of Affordable Million-Token Context
type: item
date: 2026-04-24T15:56:36+08:00
description: Today, the preview version of our new series model DeepSeek-V4 is officially launched and open-sourced simultaneously.DeepSeek-V4 features an ultra-long context of one million tokens, achieving leading performance in Agent capabilities, world knowledge, and reasoning among domestic and open-source models. The model comes in two sizes:Starting today, visit the official website chat.deepseek.com or the official App to converse with the latest DeepSeek-V4 and explore the new experience of 1M ultra-long context memory. The API service has also been updated — simply change model_name to deepseek-v4-pro or deepseek-v4-flash to call it.DeepSeek-V4-Pro: Performance rivaling top closed-source modelsSignificantly improved Agent capabilities: Compared to previous generations, DeepSeek-V4-Pro's Agent capabilities have been markedly enhanced. In Agentic Coding evaluations, V4-Pro has achieved the best level among current open-source models, and also performs excellently in other Agent-related evaluations. Currently, DeepSeek-V4 has become the Agentic Coding model used internally by company employees. According to evaluation feedback, the user experience is better than Sonnet 4.5, and delivery quality is close to Opus 4.6 non‑thinking mode, though there is still a certain gap compared to Opus 4.6 thinking mode.Rich world knowledge: In world knowledge evaluations, DeepSeek-V4-Pro significantly outperforms other open-source models, falling only slightly behind the top closed-source model Gemini-Pro-3.1.World-class reasoning performance: In evaluations of mathematics, STEM, and competitive coding, DeepSeek-V4-Pro surpasses all currently published open-source models, achieving outstanding results comparable to the world's top closed-source models.DeepSeek-V4-Flash: A faster, more economical optionCompared to DeepSeek-V4-Pro, DeepSeek-V4-Flash has slightly less world knowledge, but demonstrates close reasoning capabilities. Due to its smaller parameter count and activation size, V4-Fl…

DeepSeek V4 Preview Launches Today: 1M Context Free as Standard, Agentic Coding Beats Sonnet 4.5
type: item
date: 2026-04-24T15:48:09+08:00
description: This morning (April 24), DeepSeek quietly dropped the V4 preview — simultaneous releases on the official website, App, API, and open source, without any prior notice.What they delivered is pretty aggressive:1M context free as standard – From today, 1 million tokens of context becomes the default configuration for all official DeepSeek services. No "long context add-on", no extra charge.Two versions: V4-Pro with 1.6T total parameters, 49B activated — the flagship; V4-Flash with 284B parameters, 13B activated — focused on speed and low cost.New DSA sparse attention mechanism (DeepSeek Sparse Attention) that compresses along the token dimension, significantly cutting compute and VRAM costs for long contexts.How's the performance? Quoting DeepSeek's official announcement: V4-Pro "outperforms Sonnet 4.5" in Agentic Coding benchmarks, with "delivery quality close to Opus 4.6 non‑thinking mode", and in world knowledge evaluation it is "only slightly behind Gemini-Pro-3.1". If this holds true, it would be the first time an open‑source model goes toe‑to‑toe with closed‑source flagships on the most valuable battleground — coding agents.We'll have to wait for independent benchmarks from the community to verify. But judging from the technical report, this is not a minor tweak to V3 — it's a structural overhaul.One more critical detail: The old API model names deepseek-chat and deepseek-reasoner will be deprecated in 3 months (July 24, 2026). Currently they point to the non‑thinking/thinking modes of V4-Flash. Developers who want to continue using them should change the model_name to deepseek-v4-pro or deepseek-v4-flash.Some personal thoughts – Around this time last year, people were still arguing whether DeepSeek's performance was just faked with data contamination. Less than a year later, the V4 preview makes 1M context free as standard and claims the top open‑source spot for Agentic Coding. They don't rely on PR stunts — they just ship the product, shutting up all the critics…