gemini-3.1-flash-image (Nano Banana 2) features professional-grade visual intelligence, lightning-fast efficiency, and realistic, grounded generative capabilities. This model serves as the high-efficiency counterpart to Gemini 3 Pro Image, optimized for speed and high-volume developer use cases.
Gemini 3.1 Flash Image vs GPT Image 2.5 Flare
Compare Gemini 3.1 Flash Image from Google and GPT Image 2.5 Flare from OpenAI on key metrics including benchmarks, price, context length, and other model features. Access both models and hundreds of others through the AIHubMix API.
GPT-Image-2.5 Flare is OpenAI's latest image model, the fastest and suited for everyday high-quality image generation. It accepts text and image inputs and produces image outputs. The model supports quality settings: low, medium, high, xhigh, max, and auto.
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 3.1 Flash Image, GPT Image 2.5 Flare?
Gemini 3.1 Flash Image: $3/M output tokens; GPT Image 2.5 Flare: $30/M. Use the cost calculator above to estimate your own workload.
What inputs and capabilities does each model support?
Gemini 3.1 Flash Image accepts text, image, PDF and video input and supports thinking; GPT Image 2.5 Flare accepts text and image input.
Can I call Gemini 3.1 Flash Image and GPT Image 2.5 Flare 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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