Google’s latest experimental model, highly unstable, for experience only. It boasts strong reasoning and coding capabilities, able to "think" before responding, enhancing performance and accuracy in complex tasks. It supports multimodal inputs (text, audio, images, video) and a 1 million token context window, suitable for advanced programming, math, and science tasks. This means Gemini 2.5 can handle more complex problems in coding, science and math, and support more context-aware agents.
gemini-2.5-pro-exp-03-25 vs Kimi K3
Output tokens cost $5.00 per million on gemini-2.5-pro-exp-03-25 and $15.00 per million on Kimi K3. Input tokens cost $1.25 per million on gemini-2.5-pro-exp-03-25 and $3.00 per million on Kimi K3. Cached input tokens are billed at $0.13 per million on gemini-2.5-pro-exp-03-25 and $0.30 per million on Kimi K3. Time to first token (TTFT) measured on AIHubMix is 8.3s on gemini-2.5-pro-exp-03-25 and 0.9s on Kimi K3. Measured output throughput is 122.0 tok/s on gemini-2.5-pro-exp-03-25 and 73.1 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-2.5-pro-exp-03-25, Kimi K3?
gemini-2.5-pro-exp-03-25: $5.00/M output tokens; Kimi K3: $15.00/M. Use the cost calculator above to estimate your own workload.
Which responds faster?
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.
Which one generates tokens faster?
gemini-2.5-pro-exp-03-25 at 122.0 tok/s and Kimi K3 at 73.1 tok/s, measured as output throughput on AIHubMix — a separate metric from time to first token.
What inputs and capabilities does each model support?
gemini-2.5-pro-exp-03-25 accepts text, image, audio and video input and supports structured outputs, tool calling and long context; Kimi K3 accepts text, image and video input and supports thinking, function calling and structured outputs.
Can I call gemini-2.5-pro-exp-03-25 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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