Aihubmix supports the gemini-2.5-flash-image model (known on social media as nano-banana); you can add the extra parameter modalities=["text", "image"] via the OpenAI-compatible chat interface. This model allows adjustment of the generated image’s aspect ratio through parameters, but requires using the native Gemini SDK.
Pricing
0.04$/image ;2.49m/tokens
Input Modalities
- Text
- Vision
Output Modalities
- 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
Input Image$0.3/M tokens
Output Image$30/M tokens
Context32K
Max output8K
Latency8.3S
Throughput1314.0TPS
Uptime
0.00% uptime 2 days ago
0.00% uptime yesterday
0.00% uptime today
Google AI Studio gemini-2.5-flash-image
Pricing$0.3$2.499
Input Image$0.3/M tokens
Output Image$30/M tokens
Context32K
Max output8K
Latency5.8S
Throughput214.3TPS
Uptime
0.00% uptime 2 days ago
0.00% uptime yesterday
0.00% uptime today
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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