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Magnum v4 72B vs GPT-5 Image

Magnum v4 72B costs 2.0x less per output token than GPT-5 Image ($5.00 vs $10.00 per million). Updated October 22, 2026; no benchmark has tested both models yet.

A Magnum v4 72BAnthracite
Coding
No data
Overall
No data
Output $/M
$5.00
GPT-5 ImageOpenAI
Coding
No data
Overall
No data
Output $/M
$10.00
vs $5.00 vs $10.00 per 1M output tokens. Magnum v4 72B is 2.0x cheaper.

Magnum v4 72B or GPT-5 Image: which to pick

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

Pick Magnum v4 72B for output tokens 2.0x cheaper ($5.00 vs $10.00 per million).

No benchmark has tested both yet. Magnum v4 72B has none yet; GPT-5 Image on Design Arena: images, Design Arena: graphic design and Design Arena: logos. 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
Magnum v4 72B not benchmarked, GPT-5 Image 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
Magnum v4 72B $5.00 against GPT-5 Image $10.00 per million output tokens, 2.0x apart.
Context window
Magnum v4 72B takes 33K tokens, GPT-5 Image 400K.

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 Magnum v4 72B and GPT-5 Image
BenchmarkMagnum v4 72BGPT-5 ImageLeader
Design Arena: imagesNot measured1191Only GPT-5 Image measured
Design Arena: graphic designNot measured1172Only GPT-5 Image measured
Design Arena: logosNot measured1202Only 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

Magnum v4 72B$0.0050Fits in one request
GPT-5 Image$0.015Fits in one request

Magnum v4 72B costs less

Repository review

50K input + 3K output tokens

Magnum v4 72B$0.140Exceeds the context window
GPT-5 Image$0.530Fits in one request

Magnum v4 72B costs less

Agent loop

200K input + 10K output tokens

Magnum v4 72B$0.550Exceeds the context window
GPT-5 Image$2.10Fits in one request

Magnum v4 72B 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 Magnum v4 72B and GPT-5 Image
SpecificationMagnum v4 72BOpenAI GPT-5 Image
MakerAnthraciteOpenAI
WeightsOpen weightsNo public weights listed
ReleasedOctober 22, 2024October 14, 2025
Context window33K400K
Input $/Mtok$2.50$10.00
Output $/Mtok$5.00$10.00
Coding indexNot benchmarkedNot benchmarked
Independent measurements behind it00
Cost per solved taskNot computableNot computable
SourceOpenRouter listingOpenRouter listing

Questions

Is Magnum v4 72B better than GPT-5 Image for coding?

Neither model has a coding score yet, so the two cannot be ranked on coding. Pick Magnum v4 72B for output tokens 2.0x cheaper ($5.00 vs $10.00 per million).

Which is cheaper, Magnum v4 72B or GPT-5 Image?

Magnum v4 72B costs $2.50 per million input tokens and $5.00 per million output tokens; GPT-5 Image costs $10.00 and $10.00. Cost per solved task is known for neither of them.

Which has the bigger context window, Magnum v4 72B or GPT-5 Image?

GPT-5 Image, with 400K tokens against 33K.

Has any benchmark tested both Magnum v4 72B and GPT-5 Image?

No benchmark has tested both yet. Magnum v4 72B has none yet; GPT-5 Image on Design Arena: images, Design Arena: graphic design and Design Arena: logos. Compare them on price and context instead. Data as of October 22, 2026.

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