Very honored to see Gemma
@googlegemma feature TERMS-Bench!
We built TERMS-Bench to evaluate LLM negotiation agents in settings where success is not cleanly verifiable by math/code-style checks, but also should not be outsourced to LLM-as-judge. Instead, the economic environment verifies the outcome.
Gemma 4 31B is the top open-weight model on our benchmark, competitive alongside frontier peers. Excited to see open models advancing in these social-strategic, agentic evaluation domains 💛🚀
Honored to see Gemma 4 31B on TERMS-Bench, a benchmark for LLM negotiation agents based on economic negotiation! 🤝
- Environment verifies outcomes (no LLM-as-judge)
- Top open-weight model alongside frontier peers
- Allow diagnosing why and where agents fail

ALT An image featuring a leaderboard table ranking 15 AI agents from various providers