Compare Gemini 3.8 Flash from Google and GLM 5.3 Flashx from Z.AI on key metrics including benchmarks, price, context length, and other model features. Access both models and hundreds of others through the AIHubMix API.
Gemini 3.8 Flash
GLM 5.3 FlashxGemini 3.8 Flash is Google's most intelligent Flash-series model, designed for long-running software engineering tasks, autonomous agents, and complex enterprise workflows, while retaining the Flash series' fast responsiveness and cost-effectiveness.
GLM-5.3-FlashX is Z.AI’s high-speed inference model, designed for coding agents, real-time interactions, long-running agentic workflows, and applications that require fast token generation. It is heavily optimized at the inference infrastructure level for lower latency and higher execution efficiency, reaching generation speeds of up to 200 tokens per second. Compared with GLM-5.3-Flash, GLM-5.3-FlashX delivers up to 5× faster inference, with a stronger focus on low-latency and high-throughput workloads.
Prices are per million tokens. Time to First Token and throughput are rolling averages measured on AIHubMix.
Promotional prices show the discounted rate; see each model page for promotion windows.
Daily traffic served through AIHubMix — how demand for each model is trending.
Measured on real AIHubMix traffic, hourly buckets. Gaps mean no traffic in that hour.
Estimate your monthly bill for the same workload on each model.
Monthly = daily × 30. Discounted rates applied where a promotion is active.
GLM 5.3 Flashx: $1.25/M output tokens; Gemini 3.8 Flash: $3.75/M. Use the cost calculator above to estimate your own workload.
GLM 5.3 Flashx: 3.8s time to first token measured on AIHubMix; see the live performance charts above for how each model behaves across the day.
Gemini 3.8 Flash accepts 1,048,576 and GLM 5.3 Flashx accepts 1,000,000 input tokens.
GLM 5.3 Flashx at 53.0 tok/s and Gemini 3.8 Flash at 45.1 tok/s, measured as output throughput on AIHubMix — a separate metric from time to first token.
Gemini 3.8 Flash accepts text, image, video, audio and PDF input and supports thinking, tool calling, function calling, structured outputs, web search and long context; GLM 5.3 Flashx accepts text, image and video input.
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