Gemini 2.5 Flash Image (Nano-Banana) is a state-of-the-art image generation and editing model that enables seamless blending of multiple images into a single composition while maintaining character consistency for rich visual storytelling. It supports precise, targeted image transformations through natural language instructions and leverages built-in world knowledge for both image generation and editing, making it well suited for creative design, content production, advertising, and visual expression workflows.
Pricing
0.04$/image ;2.49m/tokens
Input Modalities
- Text
- Vision
Output Modalities
- Text
- Image
Context length
- 65.5K tokens
Max output
- 32.8K tokens
Capabilities
- Thinking
- Streaming
- Tool calling
- Web search
- URL context
- Code interpreter
- Computer use
- File search
- Memory tool
- Multimodal output
- Structured outputs
- Citations
- Prompt caching
- Background mode
- Server-side sessions
Providers
VertexAI gemini-2.5-flash-image
Pricing$0.3$2.499
Cache Read$0.03/M tokens
Input Image$0.3/M tokens
Output Image$30/M tokens
Context32K
Max output8K
Latency10.4S
Throughput90.5TPS
Uptime
97.79% uptime 3 days ago
99.97% uptime 2 days ago
100.00% uptime yesterday
Google AI Studio gemini-2.5-flash-image
Pricing$0.3$2.499
Cache Read$0.03/M tokens
Input Image$0.3/M tokens
Output Image$30/M tokens
Context32K
Max output8K
Latency10.6S
Throughput122.3TPS
Uptime
99.66% uptime 3 days ago
99.81% uptime 2 days ago
99.78% uptime yesterday
Performance for gemini-2.5-flash-image
Uptime is the percentage of requests that succeeded over the past 72 hours. AIHubMix continuously monitors every provider and automatically retries with the next-best provider when one returns an error or responds too slowly; Latency is total round-trip time (lower is better); Throughput is how fast the model writes (tokens per second, higher is better).
Uptime
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Latency
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Throughput
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