[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"compare-deepseek-v32-vs-gemma-4":3},{"modelA":4,"modelB":9,"categories":14,"faq":52,"winsA":62,"winsB":63,"relatedArticles":64,"otherComparisons":84},{"name":5,"provider":6,"pricing":7,"highlights":8},"DeepSeek V3.2","DeepSeek","$0.14\u002F$0.42","~90% GPT-5.4 quality at 1\u002F50th cost; best value model",{"name":10,"provider":11,"pricing":12,"highlights":13},"Gemma 4","Google","$0.00\u002F$0.00","Google’s latest open model family entry surfaced in 2026 benchmark roundups for self-hosted use.",[15,19,23,29,33,37,41,44,48],{"key":16,"label":17,"valueA":6,"valueB":11,"winner":18},"provider","Provider","tie",{"key":20,"label":21,"valueA":22,"valueB":22,"winner":18},"context","Context Window","128K",{"key":24,"label":25,"valueA":26,"valueB":27,"winner":28},"pricingInput","Input Price ($\u002F1M)","$0.14","N\u002FA","a",{"key":30,"label":31,"valueA":32,"valueB":27,"winner":28},"pricingOutput","Output Price ($\u002F1M)","$0.42",{"key":34,"label":35,"valueA":36,"valueB":27,"winner":28},"arena","Arena ELO","1380",{"key":38,"label":39,"valueA":40,"valueB":27,"winner":18},"coding","Coding","unknown",{"key":42,"label":43,"valueA":40,"valueB":27,"winner":18},"reasoning","Reasoning",{"key":45,"label":46,"valueA":47,"valueB":27,"winner":28},"speed","Speed (tokens\u002Fsec)","~80 t\u002Fs",{"key":49,"label":50,"valueA":51,"valueB":51,"winner":18},"openSource","Open Source","Yes",[53,56,59],{"question":54,"answer":55},"Which is better for coding, DeepSeek V3.2 or Gemma 4?","DeepSeek V3.2 scores unknown on coding benchmarks, while Gemma 4 scores N\u002FA.",{"question":57,"answer":58},"Which has a larger context window?","DeepSeek V3.2 supports 128K context, while Gemma 4 supports 128K.",{"question":60,"answer":61},"Is DeepSeek V3.2 or Gemma 4 open source?","DeepSeek V3.2 is open source. Gemma 4 is open source.",4,0,[65,69,72,75,78,81],{"slug":66,"title":67,"language":68},"diffusiongemma-transparency-measured-en","DiffusionGemma’s transparency problem, measured","en",{"slug":70,"title":71,"language":68},"gemma-4-256k-context-open-models-en","Gemma 4 brings 256K context to open models",{"slug":73,"title":74,"language":68},"5-steps-connect-codex-with-deepseek-en","5 steps to connect Codex with DeepSeek",{"slug":76,"title":77,"language":68},"gemma-4-12b-specs-benchmarks-run-locally-en","Gemma 4 12B: Specs, Benchmarks & How to Run It Locally",{"slug":79,"title":80,"language":68},"gemma-4-assistant-models-faster-draft-tokens-en","Gemma 4 assistant models get faster draft tokens",{"slug":82,"title":83,"language":68},"why-claude-code-should-use-deepseek-v4-for-1m-context-en","Why Claude Code Should Use DeepSeek v4 for 1M Context",[85,90,95,100,105,110,115,120],{"slugA":86,"labelA":87,"slugB":88,"labelB":89},"claude-opus-45-vs-deepseek-v32","DeepSeek V3.2 vs Claude Opus 4.5","claude-opus-45-vs-gemma-4","Gemma 4 vs Claude Opus 4.5",{"slugA":91,"labelA":92,"slugB":93,"labelB":94},"deepseek-v32-vs-llama-4-scout","DeepSeek V3.2 vs Llama 4 Scout","gemma-4-vs-llama-4-scout","Gemma 4 vs Llama 4 Scout",{"slugA":96,"labelA":97,"slugB":98,"labelB":99},"claude-sonnet-46-vs-deepseek-v32","DeepSeek V3.2 vs Claude Sonnet 4.6","claude-sonnet-46-vs-gemma-4","Gemma 4 vs Claude Sonnet 4.6",{"slugA":101,"labelA":102,"slugB":103,"labelB":104},"claude-haiku-45-vs-deepseek-v32","DeepSeek V3.2 vs Claude Haiku 4.5","claude-haiku-45-vs-gemma-4","Gemma 4 vs Claude Haiku 4.5",{"slugA":106,"labelA":107,"slugB":108,"labelB":109},"deepseek-v32-vs-glm-52","DeepSeek V3.2 vs GLM-5.2","gemma-4-vs-glm-52","Gemma 4 vs GLM-5.2",{"slugA":111,"labelA":112,"slugB":113,"labelB":114},"deepseek-v32-vs-qwen-36","DeepSeek V3.2 vs Qwen 3.6","gemma-4-vs-qwen-36","Gemma 4 vs Qwen 3.6",{"slugA":116,"labelA":117,"slugB":118,"labelB":119},"deepseek-v32-vs-gpt-4o","DeepSeek V3.2 vs GPT-4o","gemma-4-vs-gpt-4o","Gemma 4 vs GPT-4o",{"slugA":121,"labelA":122,"slugB":123,"labelB":124},"deepseek-r1-vs-deepseek-v32","DeepSeek V3.2 vs DeepSeek R1","deepseek-r1-vs-gemma-4","Gemma 4 vs DeepSeek R1"]