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image model comparison

GPT Image 2 vs GPT Image 2.5 Flare

GPT Image 2 and GPT Image 2.5 Flare are both current image models, from OpenAI. On Arena Text-to-Image, GPT Image 2 scores 1383 Elo and GPT Image 2.5 Flare 1398 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.

FactGPT Image 2GPT Image 2.5 Flare
Price per 1M input tokensNot reported$5
Arena Text-to-Image1383 Elo (#3 of 9)1398 Elo (#2 of 9) (better)
Arena Image Edit1462 Elo (#3 of 8)1481 Elo (#2 of 8) (better)
ProviderOpenAIOpenAI
Release dateNot reportedSeptember 8, 2026
AccessAPI onlyAPI only
Context windowNot reportedNot reported
Max outputNot reportedNot reported
Inputtext, imagetext, image
Outputimageimage

Scores:Arena · 2026-10-12

Open both in the interactive comparison

When to choose each

GPT Image 2

Best for

  • API image generation and editing

Watch out for

  • No exact compatible public benchmark snapshot is recorded
Full GPT Image 2 profile

GPT Image 2.5 Flare

Best for

  • Fast, high-volume everyday image generation

Watch out for

  • OpenAI publishes no per-image price, and its GPT Image 2 calculator does not estimate 2.5 token use, so cost per image has to be measured
  • No independent image-quality benchmark is recorded here
Full GPT Image 2.5 Flare profile

GPT Image 2 vs GPT Image 2.5 Flare FAQ

Which scores higher on independent benchmarks, GPT Image 2 or GPT Image 2.5 Flare?

GPT Image 2.5 Flare leads on Arena Text-to-Image, 1398 Elo to 1383 Elo; GPT Image 2.5 Flare leads on Arena Image Edit, 1481 Elo to 1462 Elo. Scores are independent evaluations, not either vendor's launch figures.

Production evaluation

Choosing between GPT Image 2 and GPT Image 2.5 Flare?

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