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 grok-4.5
Output tokens cost $1.50 per million on gemini-3.1-flash-lite-image and $6.00 per million on grok-4.5. Input tokens cost $0.25 per million on gemini-3.1-flash-lite-image and $2.00 per million on grok-4.5. Cached input tokens are billed at $0.25 per million on gemini-3.1-flash-lite-image and $0.50 per million on grok-4.5. Time to first token (TTFT) measured on AIHubMix is 2.2s on gemini-3.1-flash-lite-image and 2.0s on grok-4.5. Measured output throughput is 83.3 tok/s on gemini-3.1-flash-lite-image and 34.7 tok/s on grok-4.5.
Grok 4.5 was trained on datasets spanning knowledge in coding, science, engineering, and math. With both intelligent and efficient reasoning, Grok 4.5 excels at real engineering tasks and exceeds comparable leading models at these tasks.
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, grok-4.5?
gemini-3.1-flash-lite-image: $1.50/M output tokens; grok-4.5: $6.00/M. Use the cost calculator above to estimate your own workload.
Which responds faster?
grok-4.5: 2.0s 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 83.3 tok/s and grok-4.5 at 34.7 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; grok-4.5 accepts text and image input and supports thinking, tool calling, function calling, structured outputs and long context.
Can I call gemini-3.1-flash-lite-image and grok-4.5 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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