2 candidates. No automatic winner.
These are dated starting points under the disclosed defaults. Evaluate these approaches against your workload.
Quality & reliability
GPT-Image-2
Inside: direct model call
LifecyclecurrentVerified2026-08-27Evidence1 provider source + RS interpretationStatuscurrent
A quality-first image generation and editing candidate.
TradeoffTest prompt fidelity and edit precision against the actual asset workflow and cost.
Why?
- supports image-generation
- accepts image
- fits quality-reliability
Go deeper
This approach joins the release gpt-image-2 to the deployment offer openai-gpt-image-2-api. The recommendation is dated RS interpretation, not a provider ranking.
Technical details
Modalities: text, image. Access: proprietary. Evidence class: rs-interpretation.
Evaluation plan
- Create ten production briefs.
- Blind-review composition and fidelity.
- Test one controlled edit per image.
Speed & cost
Nano Banana 2
Inside: direct model call
LifecyclecurrentVerified2026-08-27Evidence1 provider source + RS interpretationStatuscurrent
A high-efficiency image option for iterative and high-volume workflows.
TradeoffFaster generation still needs asset-specific quality and edit testing.
Why?
- supports image-generation
- accepts image
- fits speed-cost
Go deeper
This approach joins the release gemini-3.1-flash-image to the deployment offer google-nano-banana-2-api. The recommendation is dated RS interpretation, not a provider ranking.
Technical details
Modalities: text, image. Access: proprietary. Evidence class: rs-interpretation.
Evaluation plan
- Use the same ten briefs.
- Compare usable-output rate and edit precision.
- Record turnaround and cost.
See what did not enter this shortlist
No additional approaches were evaluated for this job.