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image model comparison

GPT Image 2.5 Flare vs MiniMax H3-Image

GPT Image 2.5 Flare and MiniMax H3-Image are both current image models, from OpenAI and MiniMax. MiniMax H3-Image is 54% cheaper per 1M input tokens than GPT Image 2.5 Flare, $2.30 vs $5. On Arena Text-to-Image, GPT Image 2.5 Flare scores 1398 Elo and MiniMax H3-Image 1197 Elo (Arena, measured November 12, 2026).

Higher Arena Text-to-Image
GPT Image 2.5 Flare1398 Elo against 1197 Elo
Lower price per 1M input tokens
MiniMax H3-Image$2.30 against $5
Newer release
MiniMax H3-ImageNov 2026 against Sep 2026

Data verified November 15, 2026 · Dataset 2026-11-15

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Side by side

GPT Image 2.5 Flare and MiniMax H3-Image, line by line

Prices in effect today, compared at the same tier wherever both list one. The better value in each row is highlighted.

FactGPT Image 2.5 FlareMiniMax H3-Image
Price
Price per 1M input tokens$5$2.30 (better)
Independent benchmarks
Arena Text-to-Image1398 Elo (#3 of 11) (better)1197 Elo (#9 of 11)
Arena Image Edit1484 Elo (#2 of 10) (better)1359 Elo (#8 of 10)
Specs
ProviderOpenAIMiniMax
Release dateSeptember 8, 2026November 11, 2026
AccessAPI onlyAPI and open weights
Context windowNot reportedNot reported
Max outputNot reportedNot reported
Inputtext, imagetext, image
Outputimageimage

Scores:Arena · 2026-11-15

Open both in the interactive comparison

Charts

Against every current image model

Where GPT Image 2.5 Flare and MiniMax H3-Image land among the current models of their task, on every independent benchmark, on price and on context.

Where each stands

On Arena Text-to-Image, GPT Image 2.5 Flare ranks #3 and MiniMax H3-Image #9 of 11 current models. Each bar is the share of current models it beats: on score, price and context.

GPT Image 2.5 Flare and MiniMax H3-Image among the current image models, one row per benchmark, price and context window.

Independent benchmarks

Arena Text-to-Image

GPT Image 2.5 Flare:#3of 11

1,398 Elo · ahead of 80%

MiniMax H3-Image:#9of 11

1,197 Elo · ahead of 20%

Arena Image Edit

GPT Image 2.5 Flare:#2of 10

1,484 Elo · ahead of 89%

MiniMax H3-Image:#8of 10

1,359 Elo · ahead of 22%

Cost

What each costs

Example workloads at each provider's listed rates, then every other rate either one lists. The cheaper figure in each row is highlighted.

Prices, like for like

For price per 1M input tokens, GPT Image 2.5 Flare costs 2.2 times as much as MiniMax H3-Image, at each provider's listed rates.

What GPT Image 2.5 Flare and MiniMax H3-Image cost for the same work, at the rates each provider lists.
  • Price per 1M input tokens

    GPT Image 2.5 Flare costs 2.2× as much

    GPT Image 2.5 Flare
    $5
    MiniMax H3-Image
    $2.30
Workload or rateGPT Image 2.5 FlareMiniMax H3-Image
Other listed rates
1M input tokens, cached$1.25Not listed
1M output tokens, batch image output$15Not listed
1M input tokens, image input$8$1.50 (better)
1M output tokens, image output$30$3.80 (better)

Your own bill will differ. These figures use list prices and example workloads. The AI Model Cost Audit reviews your real usage, shortlists models that score as well for each task for less, and estimates the savings.

Launch price $100, regular price $150

See the cost audit

Verdict

When to choose each

GPT Image 2.5 Flare

Where it leads

  • Higher Arena Text-to-Image score, 1398 Elo vs 1197 Elo
  • Higher Arena Image Edit score, 1484 Elo vs 1359 Elo
  • A cached-input rate, $1.25 per 1M tokens

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
  • OpenAI followed it with GPT Image 2.6 Flare on November 4, 2026, which is faster at the same token rates, although Arena still rates 2.5 Flare higher

MiniMax H3-Image

Where it leads

  • Lower price per 1M input tokens, $2.30 vs $5
  • Open weights you can run yourself

Best for

  • High-resolution product and marketing images where cost per image matters
  • Teams that want to self-host or fine-tune an image model, where the license's territory rules allow it

Watch out for

  • Arena rates it well below GPT Image 2.6 Sunburst: 1197 against 1406 on text-to-image and 1359 against 1476 on image editing (November 12, 2026), on 3,277 to 5,129 votes so far
  • The weights' community license excludes the European Union, the United Kingdom, South Korea and the United States, and needs MiniMax's written authorization above $1 million in annual revenue or for any hosted service
  • The launch-week 50% discount on 4K images ends on November 17, 2026, and MiniMax publishes no quality benchmarks of its own

From benchmark to production

Building on GPT Image 2.5 Flare or MiniMax H3-Image?

Public scores rarely hold on your own data. We test both models on your real tasks, then build the agent or pipeline around the one that wins.

AI Model Cost AuditLaunch price $100, regular price $150

FAQ

GPT Image 2.5 Flare vs MiniMax H3-Image FAQ

Which is cheaper, GPT Image 2.5 Flare or MiniMax H3-Image?

MiniMax H3-Image is 54% cheaper per 1M input tokens than GPT Image 2.5 Flare, $2.30 vs $5.

Do GPT Image 2.5 Flare and MiniMax H3-Image discount cached input?

GPT Image 2.5 Flare lists a cached-input rate of $1.25 per 1M tokens, 75% below its standard input rate. No cached-input rate is listed for MiniMax H3-Image.

Which scores higher on independent benchmarks, GPT Image 2.5 Flare or MiniMax H3-Image?

GPT Image 2.5 Flare leads on Arena Text-to-Image, 1398 Elo to 1197 Elo; GPT Image 2.5 Flare leads on Arena Image Edit, 1484 Elo to 1359 Elo. Scores are independent evaluations, not either vendor's launch figures.

Can I run GPT Image 2.5 Flare or MiniMax H3-Image myself?

MiniMax H3-Image is released as open weights you can run yourself; GPT Image 2.5 Flare is available through its provider's API only.

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Production evaluation

Choosing between GPT Image 2.5 Flare and MiniMax H3-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