Output tokens cost $2.50 per million on gemini-2.5-flash-nothink and $15.00 per million on Kimi K3. Input tokens cost $0.30 per million on gemini-2.5-flash-nothink and $3.00 per million on Kimi K3. Cached input tokens are billed at $0.03 per million on gemini-2.5-flash-nothink and $0.30 per million on Kimi K3. Context lengths are 1,047,576 tokens on gemini-2.5-flash-nothink and 1,048,576 tokens on Kimi K3. Time to first token (TTFT) measured on AIHubMix is 0.7s on gemini-2.5-flash-nothink and 0.9s on Kimi K3. Measured output throughput is 54.6 tok/s on gemini-2.5-flash-nothink and 73.1 tok/s on Kimi K3.
gemini-2.5-flash-nothink
Kimi K3Gemini-2.5-flash defaults to thinking enabled; to disable thinking, request the name gemini-2.5-flash-nothink, which only supports OpenAI-compatible format calls and does not support Gemini SDK; for the native Gemini SDK, please set the parameter budget=0 directly.
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-2.5-flash-nothink: $2.50/M output tokens; Kimi K3: $15.00/M. Use the cost calculator above to estimate your own workload.
gemini-2.5-flash-nothink: 0.7s time to first token measured on AIHubMix; see the live performance charts above for how each model behaves across the day.
gemini-2.5-flash-nothink accepts 1,047,576 and Kimi K3 accepts 1,048,576 input tokens. Maximum output per request is 65,536 tokens on gemini-2.5-flash-nothink and 1,048,576 tokens on Kimi K3.
Kimi K3 at 73.1 tok/s and gemini-2.5-flash-nothink at 54.6 tok/s, measured as output throughput on AIHubMix — a separate metric from time to first token.
gemini-2.5-flash-nothink accepts text, image, audio and video input and supports tool calling, function calling, structured outputs 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