Gemini 3.1 Flash
Fast, low-cost model with a 1M token context window — the best budget default for teams running high prompt volumes.
A scrappy budget image model that's fast and cheap on ingestion but constrained by a tiny context window.
Budget-conscious teams needing fast image analysis and visual question answering without flagship pricing.
You need to process multi-page documents, large image batches in a single context, or require nuanced visual reasoning that demands flagship-tier models.
Very low input cost at $0.30/1M tokens makes image analysis accessible at scale
Gemini 2.5 Flash lineage means solid visual understanding compared to similarly priced competitors
Fast inference speed suitable for real-time or high-throughput image pipelines
Handles mixed text-and-image prompts effectively for document and screenshot analysis
32K context window is severely limited — no long document or multi-image batch support
Output cost of $2.50/1M tokens is relatively steep compared to the input cost, penalizing verbose responses
Not competitive with GPT-4o or Gemini 1.5 Pro for complex visual reasoning or chart interpretation
See what Google: Nano Banana (Gemini 2.5 Flash Image) actually costs at your usage level
Based on Google: Nano Banana (Gemini 2.5 Flash Image) API pricing: $0.3/1M input · $2.5/1M output. Real costs vary by provider discounts and caching. Check the provider for exact current rates.
Price History
→0% since Mar 27
2 data points · tracked daily since Mar 27, 2026
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Similar models worth checking before you commit.
Fast, low-cost model with a 1M token context window — the best budget default for teams running high prompt volumes.
Gemini 2.0 Flash is Google's high-speed, cost-efficient multimodal model built for high-volume production workloads, offering a massive 1M token context window at near-throwaway pricing. It supports text, image, audio, and video inputs with strong instruction-following and tool-use capabilities.
Gemini 2.5 Flash is Google's fast, cost-efficient multimodal model built for high-throughput tasks requiring a million-token context window at budget pricing. It balances speed and capability across text, code, and vision tasks without the cost of flagship models like Gemini 2.5 Pro.
Pricing moves, ranking shifts, and capability updates.
Google: Nano Banana (Gemini 2.5 Flash Image) (Google) is now indexed. A scrappy budget image model that's fast and cheap on ingestion but constrained by a tiny context window.
View modelGoogle: Nano Banana (Gemini 2.5 Flash Image) is best for budget-conscious teams needing fast image analysis and visual question answering without flagship pricing.. It is a strong fit when that workflow matters more than the tradeoffs around budget pricing and very fast speed.
You need to process multi-page documents, large image batches in a single context, or require nuanced visual reasoning that demands flagship-tier models.
Gemini 3.1 Flash is the lower-cost option to compare first when you want a similar workflow fit with less token spend.
Google: Gemini 2.0 Flash is the better pick when response time matters more than maximum depth or premium quality.
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