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Google: Nano Banana (Gemini 2.5 Flash Image)
google/gemini-2.5-flash-image
Googleclosed-weight33K context2 providers
Cheapest provider
$0.30 / 1M
Fastest provider (p95)
274 tok/s
Google AI Studio
Intelligence (composite)
—
Not a chat-completion model
Per-provider performance
Latency / throughput / uptime measured across providers over the last 30 minutes of live traffic. Atlas’s router weighs these per call (with the eval-gate signal) when picking a variant for Standard and Batch tiers.
| Provider | Quant | Input $/1M | Output $/1M | Latency p50 / p95 | Throughput p50 / p95 | Uptime 30m | Success |
|---|---|---|---|---|---|---|---|
| full· unknown | $0.3000 | $2.5000 | 7778ms / 12526ms | 151 / 225 tok/s | 99.94% | 99.9% | |
| Google AI Studio | full· unknown | $0.3000 | $2.5000 | 934ms / 9674ms | 175 / 274.1 tok/s | 100.00% | 100.0% |
“—” means live telemetry hasn’t accumulated enough recent traffic for that endpoint. “undisclosed” means the provider serves the model but doesn’t expose the quantization label (typically running fp8 / int8 internally).
How Atlas routes Google: Nano Banana (Gemini 2.5 Flash Image)
- Realtime tier — direct passthrough at the upstream’s native precision. Best for hard latency / quality guarantees.
- Standard tier — Atlas picks the cheapest provider variant whose quantization has stayed green on your operation’s eval gates. For Google: Nano Banana (Gemini 2.5 Flash Image) that’s currently Google at $0.30/1M.
- Batch tier — async, biggest discount. Roadmapped to use provider batch APIs (OpenAI / Anthropic) where available and queued spot capacity for open-weight workloads.