DeepSeek-V4 Preview is a new series of highly efficient MoE language models, featuring V4-Pro (1.6T params) and V4-Flash (284B params). Both models support a 1 million token context window by default, utilizing a novel hybrid attention architecture to drastically reduce compute and memory costs.
The long-awaited DeepSeek V4 is finally here, and the message is simple: 1M context is becoming normal.
V4-Pro is the flagship model, with stronger agentic coding, world knowledge, and reasoning. V4-Flash is the fast, efficient version for more economical use. Both models support 1M context and are available through API today, with open weights already released.
DeepSeek’s real ambition here is to make frontier long-context intelligence more accessible, just like it has been doing all along🫡
P.S. Think about all the quota and money you’ve burned through just to unlock massive context windows in Codex or CC. Well, let’s look forward to a future where that no longer feels like a luxury. Thanks, DS!💙
@zaczuo amazing work to you and the team. I can’t believe this is open weights.
open weights + 1M context is a serious shift — most "long context" models choke on retrieval at the tail. how does V4-Flash hold up on needle-in-a-haystack at 800k+? curious if Engram memory actually moves the needle there.
About DeepSeek-V4 on Product Hunt
“The open-source era of 1M context intelligence”
DeepSeek-V4 launched on Product Hunt on April 24th, 2026 and earned 368 upvotes and 3 comments, earning #3 Product of the Day. DeepSeek-V4 Preview is a new series of highly efficient MoE language models, featuring V4-Pro (1.6T params) and V4-Flash (284B params). Both models support a 1 million token context window by default, utilizing a novel hybrid attention architecture to drastically reduce compute and memory costs.
DeepSeek-V4 was featured in Open Source (68.3k followers), Artificial Intelligence (467.2k followers) and Development (5.8k followers) on Product Hunt. Together, these topics include over 103.9k products, making this a competitive space to launch in.
Who hunted DeepSeek-V4?
DeepSeek-V4 was hunted by Zac Zuo. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
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Zac Zuo
Hi everyone!
The long-awaited DeepSeek V4 is finally here, and the message is simple: 1M context is becoming normal.
V4-Pro is the flagship model, with stronger agentic coding, world knowledge, and reasoning. V4-Flash is the fast, efficient version for more economical use. Both models support 1M context and are available through API today, with open weights already released.
DeepSeek’s real ambition here is to make frontier long-context intelligence more accessible, just like it has been doing all along🫡
P.S. Think about all the quota and money you’ve burned through just to unlock massive context windows in Codex or CC. Well, let’s look forward to a future where that no longer feels like a luxury. Thanks, DS!💙