This product was not featured by Product Hunt yet. It will not be visible on their landing page and won't be ranked (cannot win product of the day regardless of upvotes).
DeepSeek V4.1 Flash
Multimodal AI for coding and agents, with 1M context
DeepSeek V4.1 Flash combines text and image understanding with a 1M-token context window and up to 384K output tokens. Build coding assistants and AI agents using tool calling, JSON output, and OpenAI- and Anthropic-compatible APIs. Available now as deepseek-flash, with usage-based, peak/off-peak pricing.
Sharing DeepSeek V4.1 Flash as a community hunter, not a member of the DeepSeek team.
🧠 This release brings text and image understanding together with long-context processing and tool calling—a useful combination to explore for coding assistants and AI agents.
🔌 It's available through DeepSeek's API as deepseek-flash, with support for OpenAI- and Anthropic-compatible APIs, including the Responses API.
🛠️ What I'd test first: turning a screenshot into a working interface, navigating a large codebase, and completing a multi-step task without getting stuck in retry loops.
I'm interested in cost per completed task and reliability, not just tokens per second.
What would you try first: coding, visual understanding, or an agent workflow? 👇
how is this A) on producthunt competing with indie devs and B) still having such few upvotes?
Deepseek produces great models, I'm just surprised by the platform choice.
About DeepSeek V4.1 Flash on Product Hunt
“Multimodal AI for coding and agents, with 1M context”
DeepSeek V4.1 Flash was submitted on Product Hunt and earned 4 upvotes and 3 comments, placing #71 on the daily leaderboard. DeepSeek V4.1 Flash combines text and image understanding with a 1M-token context window and up to 384K output tokens. Build coding assistants and AI agents using tool calling, JSON output, and OpenAI- and Anthropic-compatible APIs. Available now as deepseek-flash, with usage-based, peak/off-peak pricing.
DeepSeek V4.1 Flash was featured in API (98.7k followers), Developer Tools (519.7k followers) and Artificial Intelligence (479k followers) on Product Hunt. Together, these topics include over 218.6k products, making this a competitive space to launch in.
Who hunted DeepSeek V4.1 Flash?
DeepSeek V4.1 Flash was hunted by Bill Zhang. 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.
Want to see how DeepSeek V4.1 Flash stacked up against nearby launches in real time? Check out the live launch dashboard for upvote speed charts, proximity comparisons, and more analytics.
Bill Zhang
Hey Product Hunt! 👋
Sharing DeepSeek V4.1 Flash as a community hunter, not a member of the DeepSeek team.
🧠 This release brings text and image understanding together with long-context processing and tool calling—a useful combination to explore for coding assistants and AI agents.
🔌 It's available through DeepSeek's API as deepseek-flash, with support for OpenAI- and Anthropic-compatible APIs, including the Responses API.
🛠️ What I'd test first: turning a screenshot into a working interface, navigating a large codebase, and completing a multi-step task without getting stuck in retry loops.
I'm interested in cost per completed task and reliability, not just tokens per second.
What would you try first: coding, visual understanding, or an agent workflow? 👇