Enter opens the highlighted result. Esc closes.

GPT-5 Image vs Sakana Namazu

Sakana Namazu costs 2.5x less per output token than GPT-5 Image ($4.00 vs $10.00 per million). Updated October 22, 2026; no benchmark has tested both models yet.

GPT-5 ImageOpenAI
Coding
No data
Overall
No data
Output $/M
$10.00
Sakana NamazuSakana
Coding
No data
Overall
No data
Output $/M
$4.00
vs $10.00 vs $4.00 per 1M output tokens. Sakana Namazu is 2.5x cheaper.

GPT-5 Image or Sakana Namazu: 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; Sakana Namazu 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, Sakana Namazu 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 Sakana Namazu $4.00 per million output tokens, 2.5x apart.
Context window
GPT-5 Image takes 400K tokens, Sakana Namazu 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 Sakana Namazu
BenchmarkGPT-5 ImageSakana NamazuLeader
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
Sakana Namazu$0.0029Fits in one request

Sakana Namazu costs less

Repository review

50K input + 3K output tokens

GPT-5 Image$0.530Fits in one request
Sakana Namazu$0.059Fits in one request

Sakana Namazu costs less

Agent loop

200K input + 10K output tokens

GPT-5 Image$2.10Fits in one request
Sakana Namazu$0.230Fits in one request

Sakana Namazu 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 Sakana Namazu
SpecificationOpenAI GPT-5 ImageSakana Namazu
MakerOpenAISakana
WeightsNo public weights listedNo public weights listed
ReleasedOctober 14, 2025August 11, 2026
Context window400K262K
Input $/Mtok$10.00$0.95
Output $/Mtok$10.00$4.00
Coding indexNot benchmarkedNot benchmarked
Independent measurements behind it00
Cost per solved taskNot computableNot computable
SourceOpenRouter listingOpenRouter listing

Questions

Is GPT-5 Image better than Sakana Namazu 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 Sakana Namazu?

GPT-5 Image costs $10.00 per million input tokens and $10.00 per million output tokens; Sakana Namazu costs $0.95 and $4.00. Cost per solved task is known for neither of them.

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

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

Has any benchmark tested both GPT-5 Image and Sakana Namazu?

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

Compare next