Gemini 2.5 Flash Image
Image Available Full comparison ↗ google/gemini-2-5-flash-image · by Google DeepMind
· Diffusion transformer (DiT)
Pricing — 1 offering(s)
Standard · up to 1024x1024 output
- $0.039 / image Current 2026-07-23 → present
Showing the active price and any recorded history. Full pricing history is available via the paid API — see API docs.
See how Gemini 2.5 Flash Image fits into a cost-aware routing setup
See how →About Gemini 2.5 Flash Image
Gemini 2.5 Flash Image was the first entry in what Google now brands the "Nano Banana" line of Gemini-native image generation. It shares the natively-multimodal architecture of the later Gemini 3.1 Flash Image and Gemini 3 Pro Image — text, image, audio and video in one token space and one transformer rather than a separate image pipeline, with diffusion-style denoising inside it. Google discloses no training data or methodology, and the `diffusion-transformer` classification here follows secondary technical reporting rather than a Google architecture paper. It is distinct from Google's separate Imagen line.
The "Flash" tier is the speed-optimised member of the family — Google's own docs describe it as built for "high-velocity visual creation" and "high-volume generation, conversational image editing, and low-latency creative workflows". Its main hard limit is resolution: output is capped at 1024x1024, with none of the 2K/4K tiers the later Gemini 3.1 Flash Image and Gemini 3 Pro Image models added.
Lifecycle is the reason to know this entry. Google's own documentation now calls Gemini 2.5 Flash Image "the legacy pioneer of the Nano Banana series" and actively steers new integrations to Nano Banana 2 / Nano Banana 2 Lite (the Gemini 3.1 Flash Image family) for better quality, speed and pricing. Route here only for integrations already pinned to `gemini-2.5-flash-image`, or when its lower Priority-tier cost floor specifically matters. There is no independently published GenEval or T2I-CompBench score for it, so Modelglass leaves most capability dimensions unrated and records the entry's confidence as low.
Capability profile
Benchmarks
| Benchmark | Score | Config | Source |
|---|---|---|---|
| GenEval | 0.97 | Auto-extracted by benchmark-tracker from arXiv: PromptRL: Prompt Matters in RL for Flow-Based Image Generation. Verify the exact model variant and eval config before merge. | paper ↗ |
| PickScore | 0.97 | Auto-extracted by benchmark-tracker from arXiv: PromptRL: Prompt Matters in RL for Flow-Based Image Generation. Verify the exact model variant and eval config before merge. | paper ↗ |
Operator guidance
Google's own docs now steer new integrations to Nano Banana 2 / Nano Banana 2 Lite (Gemini 3.1 Flash Image family) for better quality, speed, and pricing than this model. Route here only for existing integrations already pinned to gemini-2.5-flash-image, or when its lower Priority-tier cost floor specifically matters; step up to Gemini 3.1 Flash Image (gemini-3-1-flash-image.yaml) for a directly comparable but newer- generation Flash-tier model in the same family.
Use cases
- High-volume, low-latency generation and conversational image editing where cost matters more than peak quality
- Legacy integrations already built against gemini-2.5-flash-image — Google's own docs frame this as still-stable but no longer the recommended entry point
Limitations
- No independently published GenEval / T2I-CompBench score found — this entry's capability ratings lean 'unknown' rather than vendor-repeating marketing claims not present in this model's own current docs
- Single 1024x1024 output resolution only — no higher-resolution tier
- Google's own documentation actively recommends migrating away from this model, calling it 'the legacy pioneer of the Nano Banana series'