Sygkrisi montelon

Qwen3.8-Max vs GLM 5.3

Sygkrinete to Qwen3.8-Max (Qwen) kai to GLM 5.3 (Z Ai) me vasi tin timi, to context, tis dynatotites kai to latency.

Poio montelo na dialexeis?

  • Timi: to GLM 5.3 einai pio fthino ($1.40 / 1M tokens input / $4.40 / 1M tokens output) apo to Qwen3.8-Max ($1.77 / 1M tokens input / $5.30 / 1M tokens output).
  • To Qwen3.8-Max prosthetei aftes tis dynatotites: Vision.

Dipla dipla

Qwen3.8-Max vs GLM 5.3 — pliris sygkrisi

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

ModelProviderInputOutputContextCapabilitiesBest forLatencyStatusSource
Qwen3.8-Maxqwen/qwen3.8-maxQwen$1.77 / 1M tokens$5.30 / 1M tokens1M
StreamingTool callingJSON modeVision
image understanding, multimodal chat1292-1672msCatalogPlatform curated
GLM 5.3z-ai/glm-5.3Z Ai$1.40 / 1M tokens$4.40 / 1M tokens1M
StreamingTool callingJSON modeLong context
General chat via Z Ai, API workloads0-0msCatalogPlatform curated

FAQ

Qwen3.8-Max vs GLM 5.3 FAQ

Poio einai pio fthino: Qwen3.8-Max i GLM 5.3;

To GLM 5.3 einai pio fthino ($1.40 / 1M tokens input / $4.40 / 1M tokens output) apo to Qwen3.8-Max ($1.77 / 1M tokens input / $5.30 / 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: Qwen3.8-Max i GLM 5.3;

Kai ta dyo montela prosferoun to idio context window: 1M tokens.

Qwen3.8-Max i GLM 5.3 gia Long context: poio na dialexo;

Kai ta dyo tairiazoun gia Long context. Dialexe to GLM 5.3 an protereotita einai to kostos, i to Qwen3.8-Max an xreiazesai megalitero context window. Dokimase kai ta dyo me pragmatika prompts prin steileis production kinisi.