OpenAI · text-to-image
1K tiers · 16 reference images
Benchmark v1.0 · 29 October 2026 · 26 models
GPT-Image 2
Latest OpenAI image model at the medium quality tier.
- Best for peopletied
- Best for producttied
- 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 2 vs median · axis 90–100
Reading the card
GPT-Image 2 finishes 5th of 26 on the overall index at 96.2.
Its strongest kind of prompt is product (98 against a field median of 96.5); its weakest is illustration (94.5 against 94).
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 46.6 s, 22nd of 26 for speed and slower than the field median of 20.3 s, and costs 1 credit (about $0.19 on the Premium plan), which puts it 2nd of 26 on quality per credit.
Pick it for
- Product98 · 1st of 26 · clean studio lighting, material fidelity, catalogue framing
- Scene98 · 1st of 26 · landscape and architecture, depth, light direction
- People96.5 · 1st of 26 · skin, hands, eyes and natural light on a human subject
- Value96.2 quality points per credit, 2nd of 26
Weigh up
- Illustration94.5 · 8th of 26 · holding a named art style with clean shapes and palette
- Speed46.6 s median is slower than the field’s 20.3 s
Nearest rivals closest overall scores
In the studio what you can set
- Vendor
- OpenAI
- Resolution tiers
- 1K
- Highest output
- 1K
- Reference images
- Up to 16
- Images per request
- 1
- Seed
- No
- Negative prompt
- No
- Base price
- 1 credit · ≈ $0.19
Questions about GPT-Image 2
- Is GPT-Image 2 good at rendering text in images?
- In benchmark v1.0 the OCR check found the exact requested phrase in 100% of GPT-Image 2's text-prompt renders, and the blind judge gave its text category 94.5 out of 100 (field median 95.5). Every word came out exactly as written.
- How fast is GPT-Image 2?
- Median 46.6 seconds from submit to finished image across the 12 benchmark prompts, with the slowest tenth at 70.9 seconds. That is 22nd of 26 models; the field median is 20.3 seconds.
- How much does GPT-Image 2 cost per image?
- 1 credit at the base 1K tier, about $0.19 at the Premium plan rate of $0.19 per credit. Higher resolution tiers can cost more; see pricing.
- GPT-Image 2 or Nano Banana 2.1?
- Nano Banana 2.1 scores 96.2 overall against 96.2 for GPT-Image 2, inside the judge’s noise, so treat them as equal on quality and decide on speed and price. GPT-Image 2 renders in 46.6 s for 1 credit; Nano Banana 2.1 in 35 s for 1 credit.
- What is GPT-Image 2 best used for?
- It ranks in the top three for people, product, scene prompts in this run. Latest OpenAI image model at the medium quality tier.
- How long has GPT-Image 2 been at the top?
- GPT-Image 2 is currently 5th; its best rank across 1 benchmark run is #5, and it has been in the top 10 for 1 week.
- 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.
