Compare gemini-3.1-flash-lite-nothink from Google and Kimi K3 from Moonshot 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-3.1-flash-lite-nothink
Kimi K3gemini-3.1-flash-lite is currently Google's latest and most cost-effective model, optimized for large-scale agent-based tasks, translation, and simple data processing.
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.
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.
gemini-3.1-flash-lite-nothink: $1.50/M output tokens; Kimi K3: $15.00/M. Use the cost calculator above to estimate your own workload.
gemini-3.1-flash-lite-nothink: 0.6s time to first token measured on AIHubMix; see the live performance charts above for how each model behaves across the day.
gemini-3.1-flash-lite-nothink accepts 1,000,000 and Kimi K3 accepts 1,048,576 input tokens. Maximum output per request is 64,000 tokens on gemini-3.1-flash-lite-nothink and 1,048,576 tokens on Kimi K3.
gemini-3.1-flash-lite-nothink at 97.4 tok/s and Kimi K3 at 73.1 tok/s, measured as output throughput on AIHubMix — a separate metric from time to first token.
gemini-3.1-flash-lite-nothink accepts text, image, audio and video input and supports thinking, tool calling, function calling, structured outputs, web search, deep search and long context; Kimi K3 accepts text, image and video input and supports thinking, 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.
Related model match-ups readers also look at.
AIHubMix