DeepSeek-v3.1

For reference, here is the terminal-bench leaderboard:

https://www.tbench.ai/leaderboard

Looks like it doesn't get close to GPT-5, Claude 4, or GLM-4.5, but still does reasonably well compared to other open weight models. Benchmarks are rarely the full story though, so time will tell how good it is in practice.

My personal experience is that it produces high quality results.

Any example or prompt you use to make this statment?

I'm doing coreference resolution and this model (w/o thinking) performs at the Gemini 2.5-Pro level (w/ thinking_budget set to -1) at a fraction of the cost.