Models / OpenAI/ GPT-5 Image Mini

GPT-5 Image Mini

OpenAI · released Oct 16, 2025

Input: text, images and documents. Output: text and images.InputOutput
Type
Closed
Input
$2.50
Output
$2.00
Cached
$0.25

List price · per 1M tokens · OpenAI at 400K context · source ↗

Our take

Written Sep 6, 2026

GPT-5 Image Mini is a proprietary multimodal model from OpenAI that handles text, images and files with a 400,000-token request limit. It is built for long-document and image reasoning tasks where predictable pricing matters more than measured quality scores.

Who should pick it

Pick this for long-context image and document workflows needing 400,000 tokens of working memory, or where flat pricing across providers removes arbitrage overhead. Use it when OpenAI-hosted throughput of 117 tokens per second meets your latency needs. Skip it if you need verified benchmark scores, if you want to self-host, or if you need throughput guarantees from both providers.

The case for it

  • Exceptionally large request limit for multimodal work: 400,000 tokens, among the largest we track for any image-capable model.
  • Flat, predictable pricing across both providers with identical input and output rates.

The case against it

  • No measured quality scores in our data: chat, reasoning, coding and vision benchmarks are all unverified.
  • Throughput is only disclosed for one of two providers.
  • Proprietary weights: you cannot download or self-host.
00

How good is it?

We hold no score for this model.

So there is no figure here for everyday use, coding, agent work or writing. That is a gap in our data, not a low score.

Where these scores come from →

01

Where to rent it

Prices checked 4 hours ago — each listing carries its own date.

Cheapest published offer

OpenAI, through OpenRouter

The lab is also the cheapest we hold. The strip above and this offer are the same one, so nothing on this page undercuts OpenAI on 400K of context.

per 1M tokens
$2.50 in / $2.00 out
Context served
400K
Throughput
~0 tok/s
Current provider offers with price, context and prompt-privacy answers
ProviderIn / out per 1M tokensContextThroughputTrains on promptsLogs promptsZero retention
OpenRouterOpenRouter's own listing$2.50 / $2.00checked 4 hours ago400Knot measuredUnknownUnknownUnknown
OpenAIThrough OpenRouter$2.50 / $2.00checked 4 hours ago400K128K max reply0 tok/sNoYesunknown periodUnknown

Across the 2 listings we hold: 1 says it does not train on prompts, 0 say they do and 1 does not say. 0 appear in the zero-retention registry we check; the rest are unknown to us.

What each host's API supports

From the parameter list each endpoint publishes. Streaming is omitted: nothing we hold reports it, for any model.

API features per host
ProviderTool callingJSON outputStrict schema
OpenRouterOpenRouter's own listing✗✓✓
OpenAIThrough OpenRouter✗✓✓

Tool calling: 0 of 2 listings say yes, 2 say no. JSON output: 2 of 2 listings say yes. Strict schema: 2 of 2 listings say yes.

02

When we formed this view

Recent changes

Jul 26, 2026ListedListed on LLMap
What movedfirst indexed by our pipeline
Oct 16, 2025AnnouncedGPT-5 Image Mini announced by OpenAI

Each date is the day we first saw the change, or the day the maker announced it.

What we do not know about this model yet

  • No independent board has scored it, so we hold no quality figures at all.
  • Nothing we hold says whether an endpoint streams, so we do not show it either way.
  • 1 of 2 listings does not say whether it trains on prompts.
  • We hold no batch or off-peak rate for any of its listings.
03

Licence and identifiers

What the licence allowsWe hold no licence record for this model. Inside are the identifiers you need to pull it — its Hugging Face repo where we have one, our slug and a machine-readable card.

Licence

We hold no licence record for this model, and no record of published weights either — so we can neither summarise its terms nor point you at the weights.

Identifiers

Takes in, gives back
Text, images and documents in, text and images out
Catalogue slug
openai-gpt-5-image-mini

Machine-readable model card (omc.json) →

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