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image model comparison

FLUX1.1 [pro] vs Gemini 3 Pro Image

FLUX1.1 [pro] and Gemini 3 Pro Image are both current image models, from Black Forest Labs and Google. FLUX1.1 [pro] is 70% cheaper per image than Gemini 3 Pro Image, $0.04 vs $0.134. On Arena Text-to-Image, FLUX1.1 [pro] scores 1016 Elo and Gemini 3 Pro Image 1248 Elo (Arena, measured October 7, 2026).

Data verified October 12, 2026 · Dataset 2026-10-12

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Side by side

Standard-tier prices in effect today. The better value in each row is highlighted.

FactFLUX1.1 [pro]Gemini 3 Pro Image
Price per image$0.04 (better)$0.134
Arena Text-to-Image1016 Elo (#9 of 9)1248 Elo (#7 of 9) (better)
Arena Image EditNot measured1390 Elo (#5 of 8)
ProviderBlack Forest LabsGoogle
Release dateNot reportedMay 28, 2026
AccessAPI onlyAPI only
Context windowNot reported65,536 tokens
Max outputNot reported32,768 tokens
Inputtexttext, image
Outputimagetext, image

Scores:Arena · 2026-10-12

Open both in the interactive comparison

When to choose each

FLUX1.1 [pro]

Best for

  • Hosted FLUX text-to-image generation

Watch out for

  • No exact compatible public benchmark snapshot is recorded
Full FLUX1.1 [pro] profile

Gemini 3 Pro Image

Best for

  • Professional image generation and editing

Watch out for

  • Pricing differs by standard, batch, flex, and priority consumption
Full Gemini 3 Pro Image profile

FLUX1.1 [pro] vs Gemini 3 Pro Image FAQ

Which is cheaper, FLUX1.1 [pro] or Gemini 3 Pro Image?

FLUX1.1 [pro] is 70% cheaper per image than Gemini 3 Pro Image, $0.04 vs $0.134.

Which scores higher on independent benchmarks, FLUX1.1 [pro] or Gemini 3 Pro Image?

Gemini 3 Pro Image leads on Arena Text-to-Image, 1248 Elo to 1016 Elo. Scores are independent evaluations, not either vendor's launch figures.

Production evaluation

Choosing between FLUX1.1 [pro] and Gemini 3 Pro Image?

Public benchmarks narrow the shortlist. We run both on your own tasks, data and cost limits, then build the routing and review controls to run the winner in production.

  • A head-to-head evaluation on your real workload
  • Routing between models by cost and difficulty