Claude Opus 4.8 vs GLM-5

Pick two tools from the same category to compare side-by-side.

	Claude Opus 4.8 Anthropic's Opus-tier model (May 2026) with improved coding, agentic, and honesty behavior over Opus 4.7.	GLM-5 Zhipu AI's MIT-licensed 744B-parameter MoE model targeting complex systems engineering and agentic tasks.
Category	model	model
Vendor type	commercial	open source
Pricing	usage	free
Strengths	+ Vendor-reported gains on coding and agentic benchmarks (Terminal-Bench 2.1, 84% on Online-Mind2Web) + Improved honesty; more likely to acknowledge missing information and flag flaws in its own code + Standard pricing unchanged from Opus 4.7 ($5 input / $25 output per million tokens), with a cheaper fast mode than before	+ MIT-licensed open weights + Designed specifically for agentic and tool-use workloads + Sparse attention architecture reduces long-context serving cost + 40B active parameters keep inference cost moderate for its class
Tradeoffs	− Superseded as Anthropic's top model by Claude Fable 5 (June 2026) for the most demanding long-horizon work − API-only commercial model; no open weights	− 744B total parameters still demand multi-GPU infrastructure to self-host − Smaller first-party API ecosystem than DeepSeek or Alibaba
Used in stacks	0	0