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GPT-5 Image Mini vs Morph V3 Fast

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.

GPT-5 Image MiniOpenAI
Coding
No data
Overall
No data
Output $/M
$2.00
Morph V3 FastMorph
Coding
No data
Overall
No data
Output $/M
$1.20
vs $2.00 vs $1.20 per 1M output tokens. Morph V3 Fast is 1.7x cheaper.

Decision reading

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

GPT-5 Image Mini has the edge where the context window is larger, 400K against 262K tokens.

Shared results
0
GPT-5 Image Mini only
3
Morph V3 Fast 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 Mini not benchmarked, Morph V3 Fast 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 Mini $2.00 against Morph V3 Fast $1.20 per million output tokens, 1.7x apart.
Context window
GPT-5 Image Mini takes 400K tokens, Morph V3 Fast 262K.

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 Mini and Morph V3 Fast
BenchmarkGPT-5 Image MiniMorph V3 FastLeader
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 Mini and Morph V3 Fast
BenchmarkGPT-5 Image MiniMorph V3 FastLeader
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 Mini and Morph V3 Fast
BenchmarkGPT-5 Image MiniMorph V3 FastLeader
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 Mini and Morph V3 Fast
BenchmarkGPT-5 Image MiniMorph V3 FastLeader
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 Mini and Morph V3 Fast
BenchmarkGPT-5 Image MiniMorph V3 FastLeader
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 Mini and Morph V3 Fast
BenchmarkGPT-5 Image MiniMorph V3 FastLeader
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 Mini and Morph V3 Fast
BenchmarkGPT-5 Image MiniMorph V3 FastLeader
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 Mini and Morph V3 Fast
BenchmarkGPT-5 Image MiniMorph V3 FastLeader
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 Mini and Morph V3 Fast
BenchmarkGPT-5 Image MiniMorph V3 FastLeader
Design Arena: images1184Not measuredOnly GPT-5 Image Mini measured
Design Arena: graphic design1165Not measuredOnly GPT-5 Image Mini measured
Design Arena: logos1209Not measuredOnly GPT-5 Image Mini 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 Mini$0.0035Fits in one request
Morph V3 Fast$0.0014Fits in one request

Morph V3 Fast costs less

Repository review

50K input + 3K output tokens

GPT-5 Image Mini$0.131Fits in one request
Morph V3 Fast$0.044Fits in one request

Morph V3 Fast costs less

Agent loop

200K input + 10K output tokens

GPT-5 Image Mini$0.520Fits in one request
Morph V3 Fast$0.172Fits in one request

Morph V3 Fast 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 Mini and Morph V3 Fast
SpecificationOpenAI GPT-5 Image MiniMorph V3 Fast
MakerOpenAIMorph
WeightsNo public weights listedNo public weights listed
ReleasedOctober 16, 2025July 7, 2025
Context window400K262K
Input $/Mtok$2.50$0.80
Output $/Mtok$2.00$1.20
Coding indexNot benchmarkedNot benchmarked
Independent measurements behind it00
Cost per solved taskNot computableNot computable
SourceOpenRouter listingOpenRouter listing

Questions

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

Neither model has a coding score yet, so the two cannot be ranked on coding. GPT-5 Image Mini has the edge where the context window is larger, 400K against 262K tokens.

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

GPT-5 Image Mini costs $2.50 per million input tokens and $2.00 per million output tokens; Morph V3 Fast costs $0.80 and $1.20. Cost per solved task is known for neither of them.

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

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

How many benchmarks is the GPT-5 Image Mini vs Morph V3 Fast comparison based on?

0 benchmarks have a result for both models as of October 21, 2026. GPT-5 Image Mini's coding index rests on 0 independent benchmarks and Morph V3 Fast's on 0. Where only one model has a result, the page says so instead of naming a winner.

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