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image model comparison

FLUX1.1 [pro] vs Gemini 3.1 Flash Image

FLUX1.1 [pro] and Gemini 3.1 Flash Image are both current image models, from Black Forest Labs and Google. FLUX1.1 [pro] is 11% cheaper per image than Gemini 3.1 Flash Image, $0.04 vs $0.045. On Arena Text-to-Image, FLUX1.1 [pro] scores 1016 Elo and Gemini 3.1 Flash Image 1262 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 3.1 Flash Image
Price per image$0.04 (better)$0.045
Arena Text-to-Image1016 Elo (#9 of 9)1262 Elo (#5 of 9) (better)
Arena Image EditNot measured1387 Elo (#6 of 8)
ProviderBlack Forest LabsGoogle
Release dateNot reportedMay 28, 2026
AccessAPI onlyAPI only
Context windowNot reportedNot reported
Max outputNot reportedNot reported
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 3.1 Flash Image

Best for

  • Interleaved text and image generation

Watch out for

  • No exact compatible public benchmark snapshot is recorded
Full Gemini 3.1 Flash Image profile

FLUX1.1 [pro] vs Gemini 3.1 Flash Image FAQ

Which is cheaper, FLUX1.1 [pro] or Gemini 3.1 Flash Image?

FLUX1.1 [pro] is 11% cheaper per image than Gemini 3.1 Flash Image, $0.04 vs $0.045.

Which scores higher on independent benchmarks, FLUX1.1 [pro] or Gemini 3.1 Flash Image?

Gemini 3.1 Flash Image leads on Arena Text-to-Image, 1262 Elo to 1016 Elo. Scores are independent evaluations, not either vendor's launch figures.

Production evaluation

Choosing between FLUX1.1 [pro] and Gemini 3.1 Flash 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