[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"compare-claude-fable-5-vs-gpt-56-luna":3},{"modelA":4,"modelB":9,"categories":14,"faq":50,"winsA":57,"winsB":58,"relatedArticles":59,"otherComparisons":79},{"name":5,"provider":6,"pricing":7,"highlights":8},"Claude Fable 5","Anthropic","$10\u002F$50","Anthropic’s newly released flagship Claude model, positioned for high-end reasoning and long-context agentic work.",{"name":10,"provider":11,"pricing":12,"highlights":13},"GPT-5.6 Luna","OpenAI","$0\u002F$0","Fastest and lowest-cost GPT-5.6 tier, with performance near GPT-5.5 on several tests.",[15,19,25,30,34,37,40,43,46],{"key":16,"label":17,"valueA":6,"valueB":11,"winner":18},"provider","Provider","tie",{"key":20,"label":21,"valueA":22,"valueB":23,"winner":24},"context","Context Window","1M","128K","a",{"key":26,"label":27,"valueA":28,"valueB":29,"winner":24},"pricingInput","Input Price ($\u002F1M)","$10","N\u002FA",{"key":31,"label":32,"valueA":33,"valueB":29,"winner":24},"pricingOutput","Output Price ($\u002F1M)","$50",{"key":35,"label":36,"valueA":29,"valueB":29,"winner":18},"arena","Arena ELO",{"key":38,"label":39,"valueA":29,"valueB":29,"winner":18},"coding","Coding",{"key":41,"label":42,"valueA":29,"valueB":29,"winner":18},"reasoning","Reasoning",{"key":44,"label":45,"valueA":29,"valueB":29,"winner":18},"speed","Speed (tokens\u002Fsec)",{"key":47,"label":48,"valueA":49,"valueB":49,"winner":18},"openSource","Open Source","No",[51,54],{"question":52,"answer":53},"Which has a larger context window?","Claude Fable 5 supports 1M context, while GPT-5.6 Luna supports 128K.",{"question":55,"answer":56},"Is Claude Fable 5 or GPT-5.6 Luna open source?","Claude Fable 5 is proprietary. GPT-5.6 Luna is proprietary.",3,0,[60,64,67,70,73,76],{"slug":61,"title":62,"language":63},"anthropic-california-public-sector-ai-deal-en","Anthropic’s California deal makes Claude the default public-sector AI","en",{"slug":65,"title":66,"language":63},"claude-sonnet-46-sre-benchmark-rootly-en","Claude Sonnet 4.6 narrows the SRE gap",{"slug":68,"title":69,"language":63},"glm-52-beats-claude-semgrep-idor-test-en","GLM 5.2 beats Claude in Semgrep’s IDOR test",{"slug":71,"title":72,"language":63},"claude-code-turns-agent-setup-into-terminal-work-en","Claude Code turns agent setup into terminal work",{"slug":74,"title":75,"language":63},"anthropic-alibaba-claude-distillation-attack-en","Anthropic Accuses Alibaba of Massive Claude Distillation",{"slug":77,"title":78,"language":63},"openai-gpt-56-rollout-us-request-en","OpenAI narrows GPT-5.6 rollout after U.S. request",[80,85,90,95,100,105,110,115],{"slugA":81,"labelA":82,"slugB":83,"labelB":84},"claude-fable-5-vs-claude-opus-45","Claude Fable 5 vs Claude Opus 4.5","claude-opus-45-vs-gpt-56-luna","GPT-5.6 Luna vs Claude Opus 4.5",{"slugA":86,"labelA":87,"slugB":88,"labelB":89},"claude-fable-5-vs-llama-4-scout","Claude Fable 5 vs Llama 4 Scout","gpt-56-luna-vs-llama-4-scout","GPT-5.6 Luna vs Llama 4 Scout",{"slugA":91,"labelA":92,"slugB":93,"labelB":94},"claude-fable-5-vs-claude-sonnet-46","Claude Fable 5 vs Claude Sonnet 4.6","claude-sonnet-46-vs-gpt-56-luna","GPT-5.6 Luna vs Claude Sonnet 4.6",{"slugA":96,"labelA":97,"slugB":98,"labelB":99},"claude-fable-5-vs-claude-haiku-45","Claude Fable 5 vs Claude Haiku 4.5","claude-haiku-45-vs-gpt-56-luna","GPT-5.6 Luna vs Claude Haiku 4.5",{"slugA":101,"labelA":102,"slugB":103,"labelB":104},"claude-fable-5-vs-glm-52","Claude Fable 5 vs GLM-5.2","glm-52-vs-gpt-56-luna","GPT-5.6 Luna vs GLM-5.2",{"slugA":106,"labelA":107,"slugB":108,"labelB":109},"claude-fable-5-vs-qwen-36","Claude Fable 5 vs Qwen 3.6","gpt-56-luna-vs-qwen-36","GPT-5.6 Luna vs Qwen 3.6",{"slugA":111,"labelA":112,"slugB":113,"labelB":114},"claude-fable-5-vs-kimi-k27-code","Claude Fable 5 vs Kimi K2.7 Code","gpt-56-luna-vs-kimi-k27-code","GPT-5.6 Luna vs Kimi K2.7 Code",{"slugA":116,"labelA":117,"slugB":118,"labelB":119},"claude-fable-5-vs-deepseek-v4-flash","Claude Fable 5 vs DeepSeek V4 Flash","deepseek-v4-flash-vs-gpt-56-luna","GPT-5.6 Luna vs DeepSeek V4 Flash"]