glm-5.1:cloud

Key features

• Long-horizon agentic work — handles ambiguous problems with better judgment and stays productive over longer sessions: it breaks problems down, runs experiments, reads results, and identifies blockers with precision.
• Sustained optimization — by revisiting reasoning and revising strategy through repeated iteration, it sustains optimization over hundreds of rounds and thousands of tool calls. The longer it runs, the better the result.
• Stronger coding — state-of-the-art on SWE-Bench Pro among open models.

Benchmark highlights — agentic and coding

Best practices

• Long horizons — give the model room to iterate; it is built to sustain optimization across hundreds of rounds.
• Ambiguous problems — better judgment on open-ended tasks compared with its predecessors.