[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"compare-gemma-4-vs-gpt-56-terra":3},{"modelA":4,"modelB":9,"categories":14,"faq":47,"winsA":54,"winsB":54,"relatedArticles":55,"otherComparisons":75},{"name":5,"provider":6,"pricing":7,"highlights":8},"Gemma 4","Google","$0.00\u002F$0.00","Google’s latest open model family entry surfaced in 2026 benchmark roundups for self-hosted use.",{"name":10,"provider":11,"pricing":12,"highlights":13},"GPT-5.6 Terra","OpenAI","$0\u002F$0","Lower-cost GPT-5.6 tier positioned to halve costs versus the top model.",[15,19,23,27,30,33,36,39,42],{"key":16,"label":17,"valueA":6,"valueB":11,"winner":18},"provider","Provider","tie",{"key":20,"label":21,"valueA":22,"valueB":22,"winner":18},"context","Context Window","128K",{"key":24,"label":25,"valueA":26,"valueB":26,"winner":18},"pricingInput","Input Price ($\u002F1M)","N\u002FA",{"key":28,"label":29,"valueA":26,"valueB":26,"winner":18},"pricingOutput","Output Price ($\u002F1M)",{"key":31,"label":32,"valueA":26,"valueB":26,"winner":18},"arena","Arena ELO",{"key":34,"label":35,"valueA":26,"valueB":26,"winner":18},"coding","Coding",{"key":37,"label":38,"valueA":26,"valueB":26,"winner":18},"reasoning","Reasoning",{"key":40,"label":41,"valueA":26,"valueB":26,"winner":18},"speed","Speed (tokens\u002Fsec)",{"key":43,"label":44,"valueA":45,"valueB":46,"winner":18},"openSource","Open Source","Yes","No",[48,51],{"question":49,"answer":50},"Which has a larger context window?","Gemma 4 supports 128K context, while GPT-5.6 Terra supports 128K.",{"question":52,"answer":53},"Is Gemma 4 or GPT-5.6 Terra open source?","Gemma 4 is open source. GPT-5.6 Terra is proprietary.",0,[56,60,63,66,69,72],{"slug":57,"title":58,"language":59},"diffusiongemma-runs-fast-on-nvidia-rtx-dgx-en","DiffusionGemma runs fast on NVIDIA RTX and DGX","en",{"slug":61,"title":62,"language":59},"openai-gpt-56-rollout-us-request-en","OpenAI narrows GPT-5.6 rollout after U.S. request",{"slug":64,"title":65,"language":59},"gpt-56-rumors-2m-context-coding-gains-en","GPT-5.6 rumors point to 2M context and coding gains",{"slug":67,"title":68,"language":59},"diffusiongemma-transparency-measured-en","DiffusionGemma’s transparency problem, measured",{"slug":70,"title":71,"language":59},"gpt-56-fix-and-upgrade-release-en","GPT-5.6 looks like a fix-and-upgrade release",{"slug":73,"title":74,"language":59},"gemma-4-256k-context-open-models-en","Gemma 4 brings 256K context to open models",[76,81,86,91,96,101,106,111],{"slugA":77,"labelA":78,"slugB":79,"labelB":80},"claude-opus-45-vs-gemma-4","Gemma 4 vs Claude Opus 4.5","claude-opus-45-vs-gpt-56-terra","GPT-5.6 Terra vs Claude Opus 4.5",{"slugA":82,"labelA":83,"slugB":84,"labelB":85},"gemma-4-vs-llama-4-scout","Gemma 4 vs Llama 4 Scout","gpt-56-terra-vs-llama-4-scout","GPT-5.6 Terra vs Llama 4 Scout",{"slugA":87,"labelA":88,"slugB":89,"labelB":90},"claude-sonnet-46-vs-gemma-4","Gemma 4 vs Claude Sonnet 4.6","claude-sonnet-46-vs-gpt-56-terra","GPT-5.6 Terra vs Claude Sonnet 4.6",{"slugA":92,"labelA":93,"slugB":94,"labelB":95},"claude-haiku-45-vs-gemma-4","Gemma 4 vs Claude Haiku 4.5","claude-haiku-45-vs-gpt-56-terra","GPT-5.6 Terra vs Claude Haiku 4.5",{"slugA":97,"labelA":98,"slugB":99,"labelB":100},"gemma-4-vs-glm-52","Gemma 4 vs GLM-5.2","glm-52-vs-gpt-56-terra","GPT-5.6 Terra vs GLM-5.2",{"slugA":102,"labelA":103,"slugB":104,"labelB":105},"gemma-4-vs-qwen-36","Gemma 4 vs Qwen 3.6","gpt-56-terra-vs-qwen-36","GPT-5.6 Terra vs Qwen 3.6",{"slugA":107,"labelA":108,"slugB":109,"labelB":110},"claude-fable-5-vs-gemma-4","Gemma 4 vs Claude Fable 5","claude-fable-5-vs-gpt-56-terra","GPT-5.6 Terra vs Claude Fable 5",{"slugA":112,"labelA":113,"slugB":114,"labelB":115},"gemma-4-vs-kimi-k27-code","Gemma 4 vs Kimi K2.7 Code","gpt-56-terra-vs-kimi-k27-code","GPT-5.6 Terra vs Kimi K2.7 Code"]