Context lengths are 1,000,000 tokens on Gemini 3.6 Flash (free) and 1,048,576 tokens on Kimi K3. Time to first token (TTFT) measured on AIHubMix is 5.2s on Gemini 3.6 Flash (free) and 0.9s on Kimi K3. Measured output throughput is 124.0 tok/s on Gemini 3.6 Flash (free) and 73.1 tok/s on Kimi K3.
Gemini 3.6 Flash (free)
Kimi K3Gemini 3.6 Flash free version: fFree model resources are limited and provided only for trial use; stability cannot be guaranteed, and you may encounter 429 errors during use. If you need to use it in a production environment and require unlimited concurrency with absolute stability, please choose the official version: gemini-3.6-flash
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.
Kimi K3: 0.9s time to first token measured on AIHubMix; see the live performance charts above for how each model behaves across the day.
Gemini 3.6 Flash (free) accepts 1,000,000 and Kimi K3 accepts 1,048,576 input tokens. Maximum output per request is 64,000 tokens on Gemini 3.6 Flash (free) and 1,048,576 tokens on Kimi K3.
Gemini 3.6 Flash (free) at 124.0 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 3.6 Flash (free) accepts text, image, audio and video input and supports thinking, tool calling, function calling, structured outputs, web 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