Intelligence index
Outperforms 44% of compared models

As a 30B-class SOTA model, GLM-4.7-Flash offers a new option that balances performance and efficiency. It is further optimized for agentic coding use cases, strengthening coding capabilities, long-horizon task planning, and tool collaboration, and has achieved leading performance among open-source models of the same size on several current public benchmark leaderboards.
Outperforms 44% of compared models
Elo scores and win rates across design and agent tasks.
1202Elo
Win rate 57.6%
1192Elo
Win rate 54%
1176Elo
Win rate 53.1%
1034Elo
Win rate 44.2%
1135Elo
Win rate 49.7%
1118Elo
Win rate 51.2%
1123Elo
Win rate 45.3%