GLM-5.2 vs Kwaipilot: KAT-Coder-Air V2.5 benchmark

Interactive Comparison Diagram

Recommended Workload Routing

Frequently Asked Questions

Which is better overall, GLM-5.2 or Kwaipilot: KAT-Coder-Air V2.5?

We do not have preference Elo for both models, so we do not declare an overall winner. Compare the metrics that exist.

Which is better at coding, GLM-5.2 or Kwaipilot: KAT-Coder-Air V2.5?

SWE-bench is missing for at least one model, so we do not rank coding from a single number.

Which is cheaper to run in production?

Kwaipilot: KAT-Coder-Air V2.5 output tokens are $0.6/1M versus $3.74/1M. Input prices and retry rates still move the real bill.

Which is faster, GLM-5.2 or Kwaipilot: KAT-Coder-Air V2.5?

We do not have TTFT for both models.

Which has the larger context window?

GLM-5.2 accepts 1M tokens versus 256k.

Can I self-host either model?

GLM-5.2 is marked open-weights in our catalog. The other side is a closed API. Check the provider license before you ship weights.

Are these scores from CompareLLM’s own evals?

No. V1 aggregates public leaderboards (and optional first-party latency pings). Each cell names its source and date. Read /methodology.

What does preference Elo mean on this page?

Preference Elo is a crowd vote from LMArena / Arena. People see two hidden answers and pick the one they like more. The model that wins more often gets a higher Elo. That means people preferred it — not that it passed a school test. It is not SWE-bench, not accuracy, and not a number we invent. GLM-5.2 and Kwaipilot: KAT-Coder-Air V2.5 Elo cells are dated snapshots from the named source — we do not compute Arena ourselves.