Claude Fable 5 vs GLM-5

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

	Claude Fable 5 Anthropic's most capable widely released model, built for demanding reasoning and long-horizon agentic work.	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-stated state-of-the-art on nearly all tested benchmarks, with the lead growing on longer, more complex tasks + 1M-token context window and up to 128k output tokens per request + Built for long-horizon autonomous agent work with memory tool, compaction, and programmatic tool calling + Server-side fallback parameter and fallback credit simplify refusal handling	+ 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	− Premium pricing: $10 per million input tokens and $50 per million output tokens − Safety classifiers can refuse requests (vendor says under 5% of sessions on average, sometimes catching harmless ones), so integrations must handle stop_reason refusal − 30-day data retention required; not available under zero data retention	− 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