So sanh model

R1 vs DeepSeek V3.2

So sanh DeepSeek: R1 (DeepSeek) va DeepSeek: DeepSeek V3.2 (DeepSeek) theo gia, context, kha nang va do tre.

Nen chon model nao?

  • Gia: DeepSeek: DeepSeek V3.2 re hon DeepSeek: R1 ($0.043 / 1M tokens input / $0.065 / 1M tokens output so voi $0.132 / 1M tokens input / $0.47 / 1M tokens output).

Dat canh nhau

DeepSeek: R1 vs DeepSeek: DeepSeek V3.2 — so sanh day du

So sanh gia, nha cung cap, context, kha nang, do tre va co so nguon.

ModelProviderInputOutputContextCapabilitiesBest forLatencyStatusSource
DeepSeek: R1deepseek/deepseek-r1DeepSeek$0.132 / 1M tokens$0.47 / 1M tokens163.8k
StreamingTool callingJSON modeLong context
Chinese Q&A, general chat1000-3000msCatalogPlatform curated
DeepSeek: DeepSeek V3.2deepseek/deepseek-v3.2DeepSeek$0.043 / 1M tokens$0.065 / 1M tokens163.8k
StreamingTool callingJSON modeLong context
Chinese Q&A, general chat1000-3000msCatalogPlatform curated

FAQ

DeepSeek: R1 vs DeepSeek: DeepSeek V3.2 FAQ

DeepSeek: R1 hay DeepSeek: DeepSeek V3.2 re hon?

DeepSeek: DeepSeek V3.2 re hon DeepSeek: R1 ($0.043 / 1M tokens input / $0.065 / 1M tokens output so voi $0.132 / 1M tokens input / $0.47 / 1M tokens output). Chi phi thuc te phu thuoc vao ty le token input va output cua ban, vi vay hay uoc tinh bang may tinh gia dua tren traffic that.

DeepSeek: R1 hay DeepSeek: DeepSeek V3.2 co cua so ngu canh lon hon?

Ca hai model deu co cua so ngu canh giong nhau: 163.8k token.

DeepSeek: R1 hay DeepSeek: DeepSeek V3.2 cho Long context: nen chon model nao?

Ca hai deu phu hop cho Long context. Chon DeepSeek: DeepSeek V3.2 neu uu tien la chi phi, hoac chon DeepSeek: R1 neu ban can cua so ngu canh lon hon. Hay thu ca hai bang prompt that truoc khi dua traffic production vao.