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image model comparison

FLUX1.1 [pro] vs grok-imagine-image

FLUX1.1 [pro] and grok-imagine-image are both current image models, from Black Forest Labs and xAI. grok-imagine-image is 50% cheaper per image than FLUX1.1 [pro], $0.02 vs $0.04. On Arena Text-to-Image, FLUX1.1 [pro] scores 1016 Elo and grok-imagine-image 1170 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]grok-imagine-image
Price per image$0.04$0.02 (better)
Arena Text-to-Image1016 Elo (#9 of 9)1170 Elo (#8 of 9) (better)
Arena Image EditNot measured1329 Elo (#7 of 8)
ProviderBlack Forest LabsxAI
Release dateNot reportedNot reported
AccessAPI onlyAPI only
Context windowNot reportedNot reported
Max outputNot reportedNot reported
Inputtexttext, image
Outputimageimage

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

grok-imagine-image

Best for

  • Grok Imagine image workflows

Watch out for

  • No exact compatible public benchmark snapshot is recorded
Full grok-imagine-image profile

FLUX1.1 [pro] vs grok-imagine-image FAQ

Which is cheaper, FLUX1.1 [pro] or grok-imagine-image?

grok-imagine-image is 50% cheaper per image than FLUX1.1 [pro], $0.02 vs $0.04.

Which scores higher on independent benchmarks, FLUX1.1 [pro] or grok-imagine-image?

grok-imagine-image leads on Arena Text-to-Image, 1170 Elo to 1016 Elo. Scores are independent evaluations, not either vendor's launch figures.

Production evaluation

Choosing between FLUX1.1 [pro] and grok-imagine-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