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Sygkrisi montelon

GLM-5.2 vs Qwen3 Max

Sygkrinete to GLM-5.2 (Zhipu AI (GLM)) kai to Qwen: Qwen3 Max (Alibaba Cloud / Qwen) me vasi tin timi, to context, tis dynatotites kai to latency.

Poio montelo na dialexeis?

  • Timi: to Qwen: Qwen3 Max einai pio fthino ($0.78 / 1M tokens input / $3.90 / 1M tokens output) apo to GLM-5.2 (¥8 / 1M tokens input / ¥28 / 1M tokens output).
  • Context: to Qwen: Qwen3 Max exei megalitero context window (262.1k tokens).
  • To Qwen: Qwen3 Max prosthetei aftes tis dynatotites: Long context.

Dipla dipla

GLM-5.2 vs Qwen: Qwen3 Max — pliris sygkrisi

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

ModelProviderInputOutputContextCapabilitiesBest forLatencyStatusSource
GLM-5.2glm-5-2Zhipu AI (GLM)¥8 / 1M tokens¥28 / 1M tokens128k
Tool callingJSON modeStreamingReasoning
general-purpose reasoning, Chinese Q&A1000-3000msProductionPlatform curated
Qwen: Qwen3 Maxqwen/qwen3-maxAlibaba Cloud / Qwen$0.78 / 1M tokens$3.90 / 1M tokens262.1k
Tool callingJSON modeLong contextReasoning
Chinese agent workflows, business analysis1300-4200msCatalogOpenRouter if available

FAQ

GLM-5.2 vs Qwen: Qwen3 Max FAQ

Poio einai pio fthino: GLM-5.2 i Qwen: Qwen3 Max;

To Qwen: Qwen3 Max einai pio fthino ($0.78 / 1M tokens input / $3.90 / 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: GLM-5.2 i Qwen: Qwen3 Max;

To Qwen: Qwen3 Max exei megalitero context window (262.1k tokens) se sxesi me 128k tokens.

GLM-5.2 i Qwen: Qwen3 Max gia Chinese: poio na dialexo;

Kai ta dyo tairiazoun gia Chinese. Dialexe to Qwen: Qwen3 Max an protereotita einai to kostos, i to Qwen: Qwen3 Max an xreiazesai megalitero context window. Dokimase kai ta dyo me pragmatika prompts prin steileis production kinisi.