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image model comparison

Gemini 3.1 Flash Image vs grok-imagine-image

Gemini 3.1 Flash Image and grok-imagine-image are both current image models, from Google and xAI. grok-imagine-image is 56% cheaper per image than Gemini 3.1 Flash Image, $0.02 vs $0.045. On Arena Text-to-Image, Gemini 3.1 Flash Image scores 1262 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.

FactGemini 3.1 Flash Imagegrok-imagine-image
Price per image$0.045$0.02 (better)
Arena Text-to-Image1262 Elo (#5 of 9) (better)1170 Elo (#8 of 9)
Arena Image Edit1387 Elo (#6 of 8) (better)1329 Elo (#7 of 8)
ProviderGooglexAI
Release dateMay 28, 2026Not reported
AccessAPI onlyAPI only
Context windowNot reportedNot reported
Max outputNot reportedNot reported
Inputtext, imagetext, image
Outputtext, imageimage

Scores:Arena · 2026-10-12

Open both in the interactive comparison

When to choose each

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

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

Gemini 3.1 Flash Image vs grok-imagine-image FAQ

Which is cheaper, Gemini 3.1 Flash Image or grok-imagine-image?

grok-imagine-image is 56% cheaper per image than Gemini 3.1 Flash Image, $0.02 vs $0.045.

Which scores higher on independent benchmarks, Gemini 3.1 Flash Image or grok-imagine-image?

Gemini 3.1 Flash Image leads on Arena Text-to-Image, 1262 Elo to 1170 Elo; Gemini 3.1 Flash Image leads on Arena Image Edit, 1387 Elo to 1329 Elo. Scores are independent evaluations, not either vendor's launch figures.

Production evaluation

Choosing between Gemini 3.1 Flash Image 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