FLUX.2 Max
- Context
- Not published
- Max output
- Not published
- Input / MTok
- See native rates
- Cached / MTok
- —
- Output / MTok
- See native rates
- Input types
- text + image
PREMIUM IMAGE CREATION / VERIFIED 2026-10-12
FLUX.2 Max
vs Nano Banana Pro
Compare premium image generation and image editing for brand consistency, output pricing units, text rendering and production workflows.
LIVE VERIFIED FACTS
Current facts from the SXF model database.
Nano Banana Pro
- Context
- 65,536
- Max output
- 32,768
- Input / MTok
- See native rates
- Cached / MTok
- —
- Output / MTok
- See native rates
- Input types
- text + image
Facts are generated from the canonical model catalog, not copied into this comparison.Current data ↗Change ledger ↗
SPECIALIST BUYER GUIDE
What matters for visual creation.
Different cost units
FLUX.2 Max starts at $0.07 for the first output MP, adds $0.03 per additional MP and $0.03 per reference-input MP. Nano Banana Pro lists $0.134 per 1K/2K image and $0.24 per 4K image (output-only estimates).
Workflow fit
FLUX.2 Max focuses on product visualization, reference consistency, layout and grounded visual generation. Nano Banana Pro focuses on precise typography, product mockups and complex image edits.
Hidden input charges
Image references and output resolutions affect FLUX charges; Nano Banana input text, image tokens and grounding can add charges. A universal per-image winner is not supported.
No invented quality score
These are official product capabilities, not an SXF image benchmark. Reproduce tasks with the same style, resolution and source assets to decide.
DECISION FACTORS
What materially changes the choice.
Context capacity
Nano Banana Pro publishes a 65,536-token context; the other model does not publish a comparable context limit.
Input modalities
Both list image, text as input types.
Direct token cost
These specialist modalities do not have a directly comparable text-token cost. Check model-specific image, video, credit and service-token pricing instead.
Output policy
FLUX.2 Max: Not published. Nano Banana Pro: 32,768.
HOW TO DECIDE
Specifications narrow the field. Your workload decides.
Context, modalities and direct token economics are comparable from official sources. Coding quality, latency, reliability and agent success should be measured on your own acceptance tests before production routing.
Replay real tasks
Use representative prompts, files, tools and expected outputs from the workload you plan to ship.
Measure task cost
Include retries, cached tokens, long-context rules and tool charges—not only headline input price.
Track failures
Record hallucinations, tool errors, timeout behavior and human corrections alongside pass rate.
Route by task
A portfolio can outperform a one-model policy when different task classes have different cost and capability needs.
INDEPENDENT EVALUATIONS
No directly comparable independent result yet.
SXF does not infer quality from specifications or compare benchmark scores across different evaluator versions/configurations.
WHAT CHANGED
Changes affecting this comparison.
No post-baseline factual changes recorded for FLUX.2 Max, Nano Banana Pro since 2026-10-12.
VERIFIED BASELINE2026-10-12Current facts remain aligned with the SXF ledger.
QUICK ANSWERS
Which has the larger context window: FLUX.2 Max or Nano Banana Pro?
Nano Banana Pro publishes a 65,536-token context; the other model does not publish a comparable context limit.
Which is cheaper: FLUX.2 Max or Nano Banana Pro?
These specialist modalities do not have a directly comparable text-token cost. Check model-specific image, video, credit and service-token pricing instead.
Does SXF declare an overall winner?
No. This page compares source-backed specifications and economics. Quality, latency and task success require workload-specific evaluation evidence.