Introducing M2.5, an open-source frontier model designed for real-world productivity. SOTA performance at coding (SWE-Bench Verified 80.2%), search (BrowseComp 76.3%), agentic tool-calling (BFCL 76.8%) & office work. Optimized for efficient execution, 37% faster at complex tasks. At $1 per hour with 100 tps, infinite scaling of long-horizon agents now economically possible.
Big news for open models: MiniMax-M2.5 is out with SOTA performance at coding (SWE-Bench Verified 80.2%). The first open model to beat Sonnet. Only @Claude by Anthropic's Opus and @OpenAI 's GPT-5.2 Codex score higher.
Paths between open and proprietary models are converging...
Pro tip: If you want to quickly experiment with it, @MiniMax-M2.5 is free for a week on @Kilo Code (until Thursday, Feb 19).
looks great! This is something that seems like it would pair well with ClawdBot agents...
80%+ on SWE-Bench Verified for an open model is wild — especially if it’s actually usable in real workflows and not just benchmark-flexing. Curious how it holds up on messy, legacy codebases vs clean benchmark repos?
About MiniMax M2.5 on Product Hunt
“The first open model to beat Sonnet made for productivity”
MiniMax M2.5 launched on Product Hunt on February 17th, 2026 and earned 207 upvotes and 8 comments, placing #6 on the daily leaderboard. Introducing M2.5, an open-source frontier model designed for real-world productivity. SOTA performance at coding (SWE-Bench Verified 80.2%), search (BrowseComp 76.3%), agentic tool-calling (BFCL 76.8%) & office work. Optimized for efficient execution, 37% faster at complex tasks. At $1 per hour with 100 tps, infinite scaling of long-horizon agents now economically possible.
MiniMax M2.5 was featured in Open Source (68.3k followers), Software Engineering (42.3k followers), Artificial Intelligence (466.2k followers) and GitHub (41.2k followers) on Product Hunt. Together, these topics include over 123.2k products, making this a competitive space to launch in.
Who hunted MiniMax M2.5?
MiniMax M2.5 was hunted by fmerian. 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 MiniMax M2.5 stacked up against nearby launches in real time? Check out the live launch dashboard for upvote speed charts, proximity comparisons, and more analytics.
fmerian
Big news for open models: MiniMax-M2.5 is out with SOTA performance at coding (SWE-Bench Verified 80.2%). The first open model to beat Sonnet. Only @Claude by Anthropic's Opus and @OpenAI 's GPT-5.2 Codex score higher.
Paths between open and proprietary models are converging...
Pro tip: If you want to quickly experiment with it, @MiniMax-M2.5 is free for a week on @Kilo Code (until Thursday, Feb 19).
OSS ftw!