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!
744B MoE with 40B active is serious scale impressive to see it close the gap with frontier models. Would love more transparency on real-world agent benchmarks beyond synthetic evals.
If a team already gets strong results from closed-model coding agents, what are the two or three concrete scenarios where GLM‑5 wins enough to justify switching?
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.
GLM-5 was featured in Open Source (68.3k followers), Artificial Intelligence (466.2k followers) and Development (5.8k followers) on Product Hunt. Together, these topics include over 100.7k products, making this a competitive space to launch in.
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.
Want to see how GLM-5 stacked up against nearby launches in real time? Check out the live launch dashboard for upvote speed charts, proximity comparisons, and more analytics.
Zac Zuo
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!