An Apache 2.0 open-weight Flash model for real-world agents. Step 3.7 Flash combines vision, coding, search, tool use, 256K context, ~11B active params, and up to 400 TPS.
Step 3.7 Flash is basically an efficiency-first model for real-world agents.
It’s fast (up to 400 TPS), handles vision + tool use quite well, and stays relatively stable on longer agent runs. Also plays nicely with common harnesses like @Claude Code, @OpenClaw and @Kilo Code.
Love this kind of Flash model: not trying to be the biggest, but trying to be the one agents can actually run a lot.
About Step 3.7 Flash on Product Hunt
“Flash-speed agents model that can see and act”
Step 3.7 Flash launched on Product Hunt on May 30th, 2026 and earned 139 upvotes and 3 comments, placing #5 on the daily leaderboard. An Apache 2.0 open-weight Flash model for real-world agents. Step 3.7 Flash combines vision, coding, search, tool use, 256K context, ~11B active params, and up to 400 TPS.
On the analytics side, Step 3.7 Flash competes within Open Source, Artificial Intelligence, GitHub and Development — topics that collectively have 585.3k followers on Product Hunt. The dashboard above tracks how Step 3.7 Flash performed against the three products that launched closest to it on the same day.
Who hunted Step 3.7 Flash?
Step 3.7 Flash 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.
For a complete overview of Step 3.7 Flash including community comment highlights and product details, visit the product overview.
Zac Zuo
Hi everyone!
Step 3.7 Flash is basically an efficiency-first model for real-world agents.
It’s fast (up to 400 TPS), handles vision + tool use quite well, and stays relatively stable on longer agent runs. Also plays nicely with common harnesses like @Claude Code, @OpenClaw and @Kilo Code.
The weights are also open under Apache 2.0.
Love this kind of Flash model: not trying to be the biggest, but trying to be the one agents can actually run a lot.