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 kimi-k3
Output tokens cost $1.50 per million on gemini-3.1-flash-lite-image and $15.00 per million on kimi-k3. Input tokens cost $0.25 per million on gemini-3.1-flash-lite-image and $3.00 per million on kimi-k3. Cached input tokens are billed at $0.25 per million on gemini-3.1-flash-lite-image and $0.30 per million on kimi-k3. Time to first token (TTFT) measured on AIHubMix is 2.1s on gemini-3.1-flash-lite-image and 2.7s on kimi-k3. Measured output throughput is 84.3 tok/s on gemini-3.1-flash-lite-image and 36.2 tok/s on kimi-k3.
Kimi K3 is Kimi’s flagship model for long-horizon coding and end-to-end knowledge work, with a 1M-token context window and industry-leading intelligence.
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, kimi-k3?
gemini-3.1-flash-lite-image: $1.50/M output tokens; kimi-k3: $15.00/M. Use the cost calculator above to estimate your own workload.
Which responds faster?
gemini-3.1-flash-lite-image: 2.1s 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 84.3 tok/s and kimi-k3 at 36.2 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; kimi-k3 accepts text, image and video input and supports thinking, function calling and structured outputs.
Can I call gemini-3.1-flash-lite-image and kimi-k3 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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