Intelligence
N/A
44
General reasoning and benchmark headroom.
SituationalGoogle: Nano Banana (Gemini 2.5 Flash Image) is a budget multimodal generalist from google with a heavy runtime profile, standard context posture, and the clearest fit around multimodal / long-context research.
Benchmark blend
Dev workflow signal
Standard
Budget tier
Google: Nano Banana (Gemini 2.5 Flash Image) currently reads as a budget multimodal option with standard context and a heavy runtime profile.
Decision Strip
Core buy-side signals stay in one pass. The rest of the page expands only after intelligence, speed, context, and price are clear.
General reasoning and benchmark headroom.
SituationalLatency data is partial.
SituationalHow much prompt and task state can stay in view.
Situational$2.50 output / 1M
EfficientEditorial Profile
Positioning, tradeoffs, and fit are consolidated into one read instead of repeating the same story across separate cards.
Gemini 2.5 Flash Image, a.k.a. "Nano Banana," is now generally available. It is a state of the art image generation model with contextual understanding. It is capable of image generation, edits, and multi-turn conversations. Aspect ratios can be controlled with the [image_config API Parameter](https://openrouter.ai/docs/features/multimodal/image-generation#image-aspect-ratio-configuration)
google multimodal profile
Multimodal / Long-context research with standard context and heavy runtime.
Efficient spend profile. More comfortable for sustained prompt volume if the capability fit is right.
Vision-capable routing opens up multimodal review and extraction workflows.
Budget-friendly input pricing is a strength, but raw capability may vary by workload.
Latency profile is better for deliberate runs than rapid back-and-forth chat.
Context window is more comfortable for focused tasks than extremely long sessions.
Image-grounded review, multimodal extraction, and UI audit workflows.
Benchmarks
Only benchmark categories with actual signal are shown. Secondary values stay as simple definitions instead of nested micro-cards.
Specs & Pricing
Specs stay neutral, pricing gets emphasis through values rather than extra containers. Raw provider internals remain in metadata at the end.
This model is relatively efficient on price. It is the easier fit when sustained prompt volume matters.
Metadata
Verification details remain available, but the page no longer forces them ahead of the editorial read.