Compare Gemini 3.5 Flash Lite from Google and GLM 5.2 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 3.5 Flash Lite
GLM 5.2Gemini 3.5 Flash-Lite is a low-latency, cost-effective multimodal model optimized for high-throughput, low-cost execution for subagent tasks and document parsing. The model supports text, image, video, audio, and PDF inputs, and is designed for high-volume agentic workflows, simple data extraction, and applications where latency and API cost are the primary constraints.
GLM-5.2 is Z.ai’s flagship model for the era of long-horizon tasks. With a truly usable 1M-token context window, it can handle project-level engineering context, execute long-running tasks more reliably, follow engineering standards more consistently, and complete the full development workflow from requirements to multi-platform deployment in a single task.
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.
LMArena ratings by capability (Bradley-Terry, commonly called Elo). Higher is better.
Source: LMArena (arena.ai) leaderboard, imported by AIHubMix. Models without published ratings are omitted per chart.
Estimate your monthly bill for the same workload on each model.
Monthly = daily × 30. Discounted rates applied where a promotion is active.
Gemini 3.5 Flash Lite: $2.5/M output tokens; GLM 5.2: $2.524/M. Use the cost calculator above to estimate your own workload.
GLM 5.2: 1509; Gemini 3.5 Flash Lite: 1502 (LMArena coding leaderboard).
GLM 5.2: 0.7s time to first token measured on AIHubMix; see the live performance charts above for how each model behaves across the day.
Gemini 3.5 Flash Lite accepts 1,048,576 and GLM 5.2 accepts 1,000,000 input tokens. Maximum output per request is 65,536 tokens on Gemini 3.5 Flash Lite and 128,000 tokens on GLM 5.2.
Gemini 3.5 Flash Lite at 158.2 tok/s and GLM 5.2 at 35.9 tok/s, measured as output throughput on AIHubMix — a separate metric from time to first token.
Gemini 3.5 Flash Lite accepts text, image, audio and video input and supports thinking, tool calling, function calling, structured outputs, web search and long context; GLM 5.2 accepts text input and supports thinking, tool calling, function calling and structured outputs.
Yes. AIHubMix serves every model on this page behind one OpenAI-compatible endpoint, so switching between them is a one-line change to the model field — no second account, key or SDK.
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