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GPT-5 Image vs Summarize

Updated October 21, 2026. 0 benchmarks have a result for both. Coding is ranked on the Vibe Coding Index; every other board is shown as published.

Replace GPT-5 Image Replace Summarize
GPT-5 ImageOpenAI
Coding
No data
Overall
No data
Output $/M
$10.00
S SummarizeScaledown
Coding
No data
Overall
No data
Output $/M
No data
vs 400K vs 1M context window. Summarize fits 2.5x more.

Decision reading

Neither model has a coding score yet, so the two cannot be ranked on coding.

Compare them on price, context and the boards below.

Model AGPT-5 ImageOpenAINot benchmarkedNo coding benchmarkNo cost per solved taskModel BSummarizeScaledownNot benchmarkedNo coding benchmarkNo cost per solved task
Shared results
0
GPT-5 Image only
3
Summarize only
0
Like-for-like categories
0 of 9

Shared results can support a head-to-head reading. Results only one model has describe coverage, not superiority.

Which one for your work

Each card is decided by one number both models carry. Where only one has it, the card says so and makes no call.

At a glance

Coding index
GPT-5 Image not benchmarked, Summarize not benchmarked.
Widest category
No category has a result for both models.
Widest single gap
No benchmark has a result for both models.
Output price
GPT-5 Image $10.00 against Summarize Free per million output tokens.
Context window
GPT-5 Image takes 400K tokens, Summarize 1M.

Benchmark by benchmark

First the score: boards each model leads, per category, where both have a result. Then every board, a category to a fold; bars are each result on a 0 to 100 scale, so compare the two in a row, not one row with another.

CodingNot comparableSix of these boards feed the Vibe Coding Index0 boards, none shared
Coding benchmarks for GPT-5 Image and Summarize
BenchmarkGPT-5 ImageSummarizeLeader
Neither model has a result on 38 boards here
IntelligenceNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Intelligence benchmarks for GPT-5 Image and Summarize
BenchmarkGPT-5 ImageSummarizeLeader
Neither model has a result on 2 boards here
Agentic workNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Agentic work benchmarks for GPT-5 Image and Summarize
BenchmarkGPT-5 ImageSummarizeLeader
Neither model has a result on 39 boards here
ReasoningNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Reasoning benchmarks for GPT-5 Image and Summarize
BenchmarkGPT-5 ImageSummarizeLeader
Neither model has a result on 21 boards here
MathNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Math benchmarks for GPT-5 Image and Summarize
BenchmarkGPT-5 ImageSummarizeLeader
Neither model has a result on 13 boards here
KnowledgeNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Knowledge benchmarks for GPT-5 Image and Summarize
BenchmarkGPT-5 ImageSummarizeLeader
Neither model has a result on 17 boards here
Web designNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Web design benchmarks for GPT-5 Image and Summarize
BenchmarkGPT-5 ImageSummarizeLeader
Neither model has a result on 9 boards here
GeneralNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
General benchmarks for GPT-5 Image and Summarize
BenchmarkGPT-5 ImageSummarizeLeader
Neither model has a result on 46 boards here
Image generationDirectional onlyPublic boards, shown as published, kept out of the index3 boards, none shared
Image generation benchmarks for GPT-5 Image and Summarize
BenchmarkGPT-5 ImageSummarizeLeader
Design Arena: images1191Not measuredOnly GPT-5 Image measured
Design Arena: graphic design1172Not measuredOnly GPT-5 Image measured
Design Arena: logos1202Not measuredOnly GPT-5 Image measured
Neither model has a result on the other 2 boards here

What each workload costs

Three fixed token mixes at each model's listed price, so per-token rates become a bill.

Chat turn

1K input + 500 output tokens

GPT-5 Image$0.015Fits in one request
Summarize$0.0000Fits in one request

Summarize costs less

Repository review

50K input + 3K output tokens

GPT-5 Image$0.530Fits in one request
Summarize$0.0020Fits in one request

Summarize costs less

Agent loop

200K input + 10K output tokens

GPT-5 Image$2.10Fits in one request
Summarize$0.0080Fits in one request

Summarize costs less

Listed OpenRouter rates, without cache or batch discounts. A workload that does not fit a model's context window would need splitting.

Specification differences

The leading value in a row is marked; a row with a missing value names no leader. Our two rows are marked in red.

Specifications of GPT-5 Image and Summarize
SpecificationOpenAI GPT-5 ImageScaleDown Summarize
MakerOpenAIScaledown
WeightsNo public weights listedNo public weights listed
ReleasedOctober 14, 2025October 13, 2026
Context window400K1M
Input $/Mtok$10.00$0.04
Output $/Mtok$10.00Free
Coding indexNot benchmarkedNot benchmarked
Independent measurements behind it00
Cost per solved taskNot computableNot computable
SourceOpenRouter listingOpenRouter listing

Questions

Is GPT-5 Image better than Summarize for coding?

Neither model has a coding score yet, so the two cannot be ranked on coding. Compare them on price, context and the boards below.

Which is cheaper, GPT-5 Image or Summarize?

GPT-5 Image costs $10.00 per million input tokens and $10.00 per million output tokens; Summarize costs $0.04 and Free. Cost per solved task is known for neither of them.

Which has the bigger context window, GPT-5 Image or Summarize?

Summarize, with 1M tokens against 400K.

How many benchmarks is the GPT-5 Image vs Summarize comparison based on?

0 benchmarks have a result for both models as of October 21, 2026. GPT-5 Image's coding index rests on 0 independent benchmarks and Summarize's on 0. Where only one model has a result, the page says so instead of naming a winner.

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