AI Model Profile
Gemini 2.5 Flash Image
Gemini 2.5 Flash Image, also known as Nano Banana, is Google's image generation and editing model for high-volume visual workflows. Google lists October 2, 2026 as the earliest possible shutdown date, rather than a confirmed shutdown. Check live availability before adoption.
- Family
- Nano Banana
- Release date
- Unknown
- Status
- Deprecated
- Context window
- 65,536 input tokens
- Output limit
- 32,768 output tokens
- API
- yes
- Open weights
- no
- Local/self-hosted
- no
- Pricing
- Pricing reviewed September 21, 2026. Gemini Developer API Standard: US$0.30 per million text/image input tokens, plus US$0.039 per generated image. No free API tier for this model. The image amount is output cost, not the total request cost; text output is billed separately at US$2.50 per million tokens. Google lists October 2, 2026 as the earliest possible shutdown date, not a confirmed or observed shutdown.
- Evidence state
- Recheck due
Benchmark Caveat
Benchmarks and provider capability notes are directional, not universal rankings. Results can shift with prompts, tool use, latency targets, pricing tier, safety filters, context length, and the workload mix a real team runs.
See the linked official model, docs, model-card, or pricing source for provider-published capability notes.
Best for
Conversational image editing, fast visual drafts, and image workflows that benefit from Gemini-native multimodal understanding.
Skip if
Skip if your stack requires open image weights or offline generation.
Strengths
Google describes Nano Banana as optimized for high-velocity visual creation and low-latency creative workflows.
Weaknesses
Creative output must be checked for brand fit, text rendering, and edit consistency.
Kingy AI take
Use this as a source-backed shortlist candidate, not a universal ranking. Re-check official provider docs and run a task-specific trial before production adoption.
Verification & Sources
- Evidence state
- Recheck due
- Source links
- 3
- Freshness
- Needs recheck: checked August 16, 2026
- Last updated
- August 16, 2026
What this evidence state means
- Definition
- The claim was previously checked, but its review window expired or a material change may have invalidated it.
- Required provenance
- The prior evidence and check date are retained, together with the expiry or change signal that triggered recheck.
- Owner
- Kingy freshness queue owner and assigned editorial reviewer
- Freshness rule
- This is already outside its freshness rule. It must not be presented as current until reviewed against current evidence.
- Disputes and corrections
- Use “Suggest a correction” on the record. Kingy editorial reviews the cited evidence, records material corrections, and changes or removes the state when it is not supported.
Key source checks
Suggest a correction
Full Model Notes
Gemini 2.5 Flash Image, also known as Nano Banana, is Google’s image generation and editing model for high-volume visual workflows.
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Creative notes
Useful for image generation and editing workflows where fast iteration matters.
API pricing notes
USD rates checked September 21, 2026. Batch: $0.15 per million text/image input tokens and $0.0195 per image output. Google describes Standard image output as $30 per million tokens: 1,290 tokens for an image up to 1024x1024, rounded to $0.039. The pricing table also lists Flex at $0.15/$0.0195 and Priority at $0.54/$0.0702 (input per million tokens/image output), but the model documentation marks both modes unsupported. Treat their availability as unresolved. These Developer API prices do not establish Gemini app subscription or partner-platform costs. Source review only; no paid generation or invoice test.
License notes
Commercial/API terms apply unless the linked official source states otherwise.
Hardware requirements
Cloud/API model; local hardware requirements are not published as a self-hosted path.
Official Model Links
Model Intelligence Research Map
Use these internal paths to move from this model profile into provider pages, static comparison pages, related Kingy records, and the broader AI launch graph. These are research paths, not rankings.