New Model Top 5 on OpenClaw – Free Now
New model tops OpenClaw success rate leaderboard, now free to use. Outperforms most closed-source models in coding and file tasks with 85.6% accuracy. Try it now via API or local deploy.
In my previous articles, after testing tons of open-source models—especially the local deployment series—the comments section always has this one super frequent question: Can it connect to OpenClaw?
The answer for most of them is actually no, and the reason is very simple—the model’s capability is the most core and fatal shortcoming. An Agent’s automation, tool calling, and multi-step task execution abilities are all built on top of the underlying large model’s fundamental capabilities. If the model is weak, the Agent is just a pretty vase.
Just open the PinchBench leaderboard (the leaderboard most tailored for models pairing with little lobster), and you’ll see: the top ranks are all dominated by flagship closed-source models. Trying to run an Agent with a small model is basically like trying to drink soup with chopsticks—the tool just doesn’t fit.
Recently, NVIDIA released an open-source model called Nemotron-3-Super that stormed into the top 5 on PinchBench.
Straight to the leaderboard:
85.6% success rate, surpassing Claude Opus 4.5 (85.4%), only 0.4 percentage points behind GPT-5.4.
The most critical point: Among the top 5, it is the only open-source model. The other four are all closed-source flagships from Anthropic and OpenAI—pure money-burning powerhouses.
And this score is even dragged down by its CREATIVITY category—it has no image generation capability at all.
