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GPT-5 Image vs Morph V3 Large

Morph V3 Large costs 5.3x less per output token than GPT-5 Image ($1.90 vs $10.00 per million). Updated October 21, 2026; no benchmark has tested both models yet.

GPT-5 ImageOpenAI
Coding
No data
Overall
No data
Output $/M
$10.00
Morph V3 LargeMorph
Coding
No data
Overall
No data
Output $/M
$1.90
vs $10.00 vs $1.90 per 1M output tokens. Morph V3 Large is 5.3x cheaper.

GPT-5 Image or Morph V3 Large: which to pick

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

Pick GPT-5 Image for a larger context window (400K against 262K tokens).

No benchmark has tested both yet. GPT-5 Image has results on Design Arena: images, Design Arena: graphic design and Design Arena: logos; Morph V3 Large has none yet. Compare them on price and context instead.

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, Morph V3 Large not benchmarked.
Widest category
None yet: no category has been tested on both models.
Widest single gap
None yet: no benchmark has tested both models.
Output price
GPT-5 Image $10.00 against Morph V3 Large $1.90 per million output tokens, 5.3x apart.
Context window
GPT-5 Image takes 400K tokens, Morph V3 Large 262K.

Benchmark by benchmark

Every board either model has a result on, a category to a fold; bars are each result on a 0 to 100 scale. Only one model is measured on each, so no row names a leader.

Image generationDirectional onlyPublic boards, shown as published, kept out of the index3 boards measured
Image generation benchmarks for GPT-5 Image and Morph V3 Large
BenchmarkGPT-5 ImageMorph V3 LargeLeader
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
Morph V3 Large$0.0019Fits in one request

Morph V3 Large costs less

Repository review

50K input + 3K output tokens

GPT-5 Image$0.530Fits in one request
Morph V3 Large$0.051Fits in one request

Morph V3 Large costs less

Agent loop

200K input + 10K output tokens

GPT-5 Image$2.10Fits in one request
Morph V3 Large$0.199Fits in one request

Morph V3 Large 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 Morph V3 Large
SpecificationOpenAI GPT-5 ImageMorph V3 Large
MakerOpenAIMorph
WeightsNo public weights listedNo public weights listed
ReleasedOctober 14, 2025July 7, 2025
Context window400K262K
Input $/Mtok$10.00$0.90
Output $/Mtok$10.00$1.90
Coding indexNot benchmarkedNot benchmarked
Independent measurements behind it00
Cost per solved taskNot computableNot computable
SourceOpenRouter listingOpenRouter listing

Questions

Is GPT-5 Image better than Morph V3 Large for coding?

Neither model has a coding score yet, so the two cannot be ranked on coding. Pick GPT-5 Image for a larger context window (400K against 262K tokens).

Which is cheaper, GPT-5 Image or Morph V3 Large?

GPT-5 Image costs $10.00 per million input tokens and $10.00 per million output tokens; Morph V3 Large costs $0.90 and $1.90. Cost per solved task is known for neither of them.

Which has the bigger context window, GPT-5 Image or Morph V3 Large?

GPT-5 Image, with 400K tokens against 262K.

Has any benchmark tested both GPT-5 Image and Morph V3 Large?

No benchmark has tested both yet. GPT-5 Image has results on Design Arena: images, Design Arena: graphic design and Design Arena: logos; Morph V3 Large has none yet. Compare them on price and context instead. Data as of October 21, 2026.

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