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Sygkrisi montelon

DeepSeek V4 Flash vs GLM-5.2

Sygkrinete to DeepSeek V4 Flash (DeepSeek) kai to GLM-5.2 (Zhipu AI (GLM)) me vasi tin timi, to context, tis dynatotites kai to latency.

Poio montelo na dialexeis?

  • Timi: to DeepSeek V4 Flash einai pio fthino ($0.112 / 1M tokens input / $0.224 / 1M tokens output) apo to GLM-5.2 (¥8 / 1M tokens input / ¥28 / 1M tokens output).
  • To DeepSeek V4 Flash prosthetei aftes tis dynatotites: Long context, Low cost.
  • To GLM-5.2 prosthetei aftes tis dynatotites: Streaming.

Dipla dipla

DeepSeek V4 Flash vs GLM-5.2 — pliris sygkrisi

Sygkrinete timi, pauxo, plaisio context, dynatotites, kathysterisi kai vasi pigis.

ModelProviderInputOutputContextCapabilitiesBest forLatencyStatusSource
DeepSeek V4 Flashdeepseek-v4-flashDeepSeek$0.112 / 1M tokens$0.224 / 1M tokens128k
Tool callingJSON modeLong contextReasoning
low-cost Chinese tasks, long-context summary700-2200msCatalogOpenRouter if available
GLM-5.2glm-5-2Zhipu AI (GLM)¥8 / 1M tokens¥28 / 1M tokens128k
Tool callingJSON modeStreamingReasoning
general-purpose reasoning, Chinese Q&A1000-3000msProductionPlatform curated

FAQ

DeepSeek V4 Flash vs GLM-5.2 FAQ

Poio einai pio fthino: DeepSeek V4 Flash i GLM-5.2;

To DeepSeek V4 Flash einai pio fthino ($0.112 / 1M tokens input / $0.224 / 1M tokens output) apo to GLM-5.2 (¥8 / 1M tokens input / ¥28 / 1M tokens output). To pragmatiko kostos exartatai apo to meigma input kai output tokens, opote xrisimopoise ton ypologisti timon pano se pragmatiki kinisi.

Poio exei megalitero context window: DeepSeek V4 Flash i GLM-5.2;

Kai ta dyo montela prosferoun to idio context window: 128k tokens.

DeepSeek V4 Flash i GLM-5.2 gia Chinese: poio na dialexo;

Kai ta dyo tairiazoun gia Chinese. Dialexe to DeepSeek V4 Flash an protereotita einai to kostos, i to DeepSeek V4 Flash an xreiazesai megalitero context window. Dokimase kai ta dyo me pragmatika prompts prin steileis production kinisi.