So sanh model

R1 vs R1 0528

So sanh DeepSeek: R1 (DeepSeek) va DeepSeek: R1 0528 (DeepSeek) theo gia, context, kha nang va do tre.

Nen chon model nao?

  • Gia: DeepSeek: R1 0528 re hon DeepSeek: R1 ($0.094 / 1M tokens input / $0.405 / 1M tokens output so voi $0.132 / 1M tokens input / $0.47 / 1M tokens output).

Dat canh nhau

DeepSeek: R1 vs DeepSeek: R1 0528 — 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: R1 0528deepseek/deepseek-r1-0528DeepSeek$0.094 / 1M tokens$0.405 / 1M tokens163.8k
StreamingTool callingJSON modeLong context
Chinese Q&A, general chat1000-3000msCatalogPlatform curated

FAQ

DeepSeek: R1 vs DeepSeek: R1 0528 FAQ

DeepSeek: R1 hay DeepSeek: R1 0528 re hon?

DeepSeek: R1 0528 re hon DeepSeek: R1 ($0.094 / 1M tokens input / $0.405 / 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: R1 0528 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: R1 0528 cho Long context: nen chon model nao?

Ca hai deu phu hop cho Long context. Chon DeepSeek: R1 0528 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.