Google's newest, most compact, and most cost-effective image generation and editing model, designed for large-scale use.
gemini-3.1-flash-lite-image vs glm-5.2
Output tokens cost $1.50 per million on gemini-3.1-flash-lite-image and $1.97 per million on glm-5.2. Input tokens cost $0.25 per million on gemini-3.1-flash-lite-image and $0.56 per million on glm-5.2. Cached input tokens are billed at $0.25 per million on gemini-3.1-flash-lite-image and $0.14 per million on glm-5.2. Discounted rates are shown where a promotion is active. Time to first token (TTFT) measured on AIHubMix is 2.1s on gemini-3.1-flash-lite-image and 0.9s on glm-5.2. Measured output throughput is 71.8 tok/s on gemini-3.1-flash-lite-image and 43.4 tok/s on glm-5.2.
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.
Pricing & Specifications
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.
Activity Past 30 Days
Daily traffic served through AIHubMix — how demand for each model is trending.
Tokens / day
Requests / day
Performance Past 3 Days
Measured on real AIHubMix traffic, hourly buckets. Gaps mean no traffic in that hour.
Throughput (tok/s)
TTFT (s)
Uptime (%)
Cost calculator
Estimate your monthly bill for the same workload on each model.
Monthly = daily × 30. Discounted rates applied where a promotion is active.
FAQ
Which is cheaper: gemini-3.1-flash-lite-image, glm-5.2?
gemini-3.1-flash-lite-image: $1.50/M output tokens; glm-5.2: $1.97/M. Use the cost calculator above to estimate your own workload.
Which responds faster?
glm-5.2: 0.9s time to first token measured on AIHubMix; see the live performance charts above for how each model behaves across the day.
Which one generates tokens faster?
gemini-3.1-flash-lite-image at 71.8 tok/s and glm-5.2 at 43.4 tok/s, measured as output throughput on AIHubMix — a separate metric from time to first token.
What inputs and capabilities does each model support?
gemini-3.1-flash-lite-image accepts text and image input and supports thinking; glm-5.2 accepts text input and supports thinking, tool calling, function calling and structured outputs.
Can I call gemini-3.1-flash-lite-image and glm-5.2 with the same API key?
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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