Output tokens cost $3.75 per million on gemini-3.7-flash and $15.00 per million on kimi-k3. Input tokens cost $0.75 per million on gemini-3.7-flash and $3.00 per million on kimi-k3. Cached input tokens are billed at $0.08 per million on gemini-3.7-flash and $0.30 per million on kimi-k3. Context lengths are 1,048,576 tokens on gemini-3.7-flash and 1,048,576 tokens on kimi-k3. Time to first token (TTFT) measured on AIHubMix is 2.2s on gemini-3.7-flash and 2.8s on kimi-k3. Measured output throughput is 53.7 tok/s on gemini-3.7-flash and 29.4 tok/s on kimi-k3.
gemini-3.7-flash
kimi-k3Gemini 3.7 Flash is Google’s natively multimodal reasoning model for coding, agents, web development, and knowledge work. It supports a 1M-token context window and adjustable thinking levels. Compared with Gemini 3.6 Flash, it improves coding, tool use, multi-step planning, and instruction following.
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-3.7-flash: $3.75/M output tokens; kimi-k3: $15.00/M. Use the cost calculator above to estimate your own workload.
gemini-3.7-flash: 2.2s time to first token measured on AIHubMix; see the live performance charts above for how each model behaves across the day.
gemini-3.7-flash accepts 1,048,576 and kimi-k3 accepts 1,048,576 input tokens. Maximum output per request is 65,536 tokens on gemini-3.7-flash and 1,048,576 tokens on kimi-k3.
gemini-3.7-flash at 53.7 tok/s and kimi-k3 at 29.4 tok/s, measured as output throughput on AIHubMix — a separate metric from time to first token.
gemini-3.7-flash 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.
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