Gemini Nano Banana 2.1 (gemini-nano-banana-2.1) is Google's latest high-efficiency image generation and conversational editing model. As an upgraded version of Nano Banana 2 (Gemini 3.1 Flash Image), it significantly improves visual quality, prompt adherence, role consistency in multi-turn conversations, and text rendering while maintaining Flash-level speed and cost efficiency. It can be regarded as a more efficient counterpart to Gemini 3 Pro Image (Nano Banana Pro).
Gemini Nano Banana 2.1 vs Kimi K3
Compare Gemini Nano Banana 2.1 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.
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 Nano Banana 2.1, Kimi K3?
Gemini Nano Banana 2.1: $7.5/M output tokens; Kimi K3: $15/M. Use the cost calculator above to estimate your own workload.
Which responds faster?
Kimi K3: 0.8s time to first token measured on AIHubMix; see the live performance charts above for how each model behaves across the day.
How large is each context window?
Gemini Nano Banana 2.1 accepts 65,536 and Kimi K3 accepts 1,048,576 input tokens.
Which one generates tokens faster?
Kimi K3 at 73.1 tok/s and Gemini Nano Banana 2.1 at 67.4 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 Nano Banana 2.1 accepts text and image input; Kimi K3 accepts text, image and video input and supports thinking, function calling and structured outputs.
Can I call Gemini Nano Banana 2.1 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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