OpenAI · text-to-image
1.5K tiers · 10 reference images
Benchmark v1.0 · 29 October 2026 · 26 models
GPT-Image 1.5
OpenAI model at high quality. Strong instruction following.
- Best for illustration
- Best overalltied
- Best for scenetied
- Technical qualitytied
- Aestheticstied
- Text rendering (OCR)tied
Benchmark record 12 prompts · v1.0
Accumulated benchmark v1.0 · price list
Five ways of judging rank out of 26
Adherence, technical and aesthetics come from a blind vision-model judge; text and counts are objective checks. The overall index blends the first three 50/30/20.
Profile by prompt type axis 90–100
Output map every render, unretouched












AI-generated. First result returned, no retries, no editing.
Against the field GPT-Image 1.5 vs median · axis 90–100
Reading the card
GPT-Image 1.5 finishes 2nd of 26 on the overall index at 96.5, within 1 point of Seedream 5.0 Pro and therefore a statistical tie for first.
Its strongest kind of prompt is scene (98 against a field median of 96.5); its weakest is people (95 against 95).
OCR found the exact words in 100% of the text prompts and 100% of the count, colour and placement checks passed.
A render takes a median 42.6 s, 21st of 26 for speed and slower than the field median of 20.3 s, and costs 3 credits (about $0.57 on the Premium plan), which puts it 23rd of 26 on quality per credit.
Pick it for
- Illustration98 · 1st of 26 · holding a named art style with clean shapes and palette
- Scene98 · 1st of 26 · landscape and architecture, depth, light direction
- Composition95.5 · 10th of 26 · object counts, colours and left/right placement
Weigh up
- People95 · 6th of 26 · skin, hands, eyes and natural light on a human subject
- Speed42.6 s median is slower than the field’s 20.3 s
- Price3 credits per image, 23rd of 26 on price; 16 models in the index cost one
Nearest rivals closest overall scores
In the studio what you can set
- Vendor
- OpenAI
- Resolution tiers
- 1.5K
- Highest output
- 1.5K
- Reference images
- Up to 10
- Images per request
- 1
- Seed
- No
- Negative prompt
- No
- Base price
- 3 credits · ≈ $0.57
Questions about GPT-Image 1.5
- Is GPT-Image 1.5 good at rendering text in images?
- In benchmark v1.0 the OCR check found the exact requested phrase in 100% of GPT-Image 1.5's text-prompt renders, and the blind judge gave its text category 96 out of 100 (field median 95.5). Every word came out exactly as written.
- How fast is GPT-Image 1.5?
- Median 42.6 seconds from submit to finished image across the 12 benchmark prompts, with the slowest tenth at 85.6 seconds. That is 21st of 26 models; the field median is 20.3 seconds.
- How much does GPT-Image 1.5 cost per image?
- 3 credits at the base 1.5K tier, about $0.57 at the Premium plan rate of $0.19 per credit. Higher resolution tiers can cost more; see pricing.
- GPT-Image 1.5 or Nano Banana Pro?
- Nano Banana Pro scores 96.5 overall against 96.5 for GPT-Image 1.5, inside the judge’s noise, so treat them as equal on quality and decide on speed and price. GPT-Image 1.5 renders in 42.6 s for 3 credits; Nano Banana Pro in 47.7 s for 3 credits.
- What is GPT-Image 1.5 best used for?
- It ranks in the top three for illustration, scene prompts in this run. OpenAI model at high quality. Strong instruction following.
- How long has GPT-Image 1.5 been at the top?
- GPT-Image 1.5 has been in the top 3 for 1 week, since the 29 October 2026 run; its best rank so far is #2. Weeks are counted from the first benchmark run that placed it there.
- How were these numbers measured?
- Every model rendered the same 12 prompts at matched settings. A vision-model judge scored each image blind on adherence, technical quality and aesthetics (blended 50/30/20 into the overall index); OCR and fixed yes/no checks measured text accuracy and composition without a judge. Seconds were timed through the production API. Benchmark v1.0, 29 October 2026.
