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image model comparison

Gemini 3 Pro Image vs grok-imagine-image

Gemini 3 Pro Image and grok-imagine-image are both current image models, from Google and xAI. grok-imagine-image is 85% cheaper per image than Gemini 3 Pro Image, $0.02 vs $0.134. On Arena Text-to-Image, Gemini 3 Pro Image scores 1248 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 Pro Imagegrok-imagine-image
Price per image$0.134$0.02 (better)
Arena Text-to-Image1248 Elo (#7 of 9) (better)1170 Elo (#8 of 9)
Arena Image Edit1390 Elo (#5 of 8) (better)1329 Elo (#7 of 8)
ProviderGooglexAI
Release dateMay 28, 2026Not reported
AccessAPI onlyAPI only
Context window65,536 tokensNot reported
Max output32,768 tokensNot reported
Inputtext, imagetext, image
Outputtext, imageimage

Scores:Arena · 2026-10-12

Open both in the interactive comparison

When to choose each

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

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 Pro Image vs grok-imagine-image FAQ

Which is cheaper, Gemini 3 Pro Image or grok-imagine-image?

grok-imagine-image is 85% cheaper per image than Gemini 3 Pro Image, $0.02 vs $0.134.

Which scores higher on independent benchmarks, Gemini 3 Pro Image or grok-imagine-image?

Gemini 3 Pro Image leads on Arena Text-to-Image, 1248 Elo to 1170 Elo; Gemini 3 Pro Image leads on Arena Image Edit, 1390 Elo to 1329 Elo. Scores are independent evaluations, not either vendor's launch figures.

Production evaluation

Choosing between Gemini 3 Pro 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