Open-weights model for long-horizon agentic engineering
A 744B MoE model (40B active) built for complex systems & agentic tasks. #1 open-source on Vending Bench 2, narrowing the gap with Claude Opus 4.5. Features DeepSeek Sparse Attention and "slime" RL infra.
GLM-5 is a monster. It scales to 744B params, with 40B active, and integrates @DeepSeek’s Sparse Attention (DSA) to keep costs down while maintaining long context.
But the real story is agentic capability.
On Vending Bench 2, simulating a business over a year, it ranks #1 among open-source models with a balance of $4,432. That is comparable to Claude Opus 4.5 ($5k range).
They built a new async RL infra called "slime" to fix post-training inefficiency, and it shows.
Also, Z.ai has evolved. You can now toggle Agent mode, instead of just Chat, to let it actually execute tasks. Give it a Spin!
About GLM-5 on Product Hunt
“Open-weights model for long-horizon agentic engineering”
GLM-5 launched on Product Hunt on February 13th, 2026 and earned 164 upvotes and 4 comments, placing #8 on the daily leaderboard. A 744B MoE model (40B active) built for complex systems & agentic tasks. #1 open-source on Vending Bench 2, narrowing the gap with Claude Opus 4.5. Features DeepSeek Sparse Attention and "slime" RL infra.
On the analytics side, GLM-5 competes within Open Source, Artificial Intelligence and Development — topics that collectively have 540.3k followers on Product Hunt. The dashboard above tracks how GLM-5 performed against the three products that launched closest to it on the same day.
Who hunted GLM-5?
GLM-5 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.
Hi everyone!
To put it simply: This is the Pony Alpha on @OpenRouter.
GLM-5 is a monster. It scales to 744B params, with 40B active, and integrates @DeepSeek’s Sparse Attention (DSA) to keep costs down while maintaining long context.
But the real story is agentic capability.
On Vending Bench 2, simulating a business over a year, it ranks #1 among open-source models with a balance of $4,432. That is comparable to Claude Opus 4.5 ($5k range).
They built a new async RL infra called "slime" to fix post-training inefficiency, and it shows.
Also, Z.ai has evolved. You can now toggle Agent mode, instead of just Chat, to let it actually execute tasks. Give it a Spin!