Alibaba · text-to-image
1K · 2K tiers · 9 reference images, seed, batches of 4
Benchmark v1.0 · 29 October 2026 · 26 models
WAN 2.7 Pro
Higher detail at native 2K.
- Technical qualitytied
- Aestheticstied
- Counts & placementtied
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 WAN 2.7 Pro vs median · axis 90–100
Reading the card
WAN 2.7 Pro finishes 8th of 26 on the overall index at 95.8.
Its strongest kind of prompt is composition (97 against a field median of 93.5); its weakest is text (94 against 95.5).
OCR found the exact words in 25% of the text prompts and 100% of the count, colour and placement checks passed.
A render takes a median 48.6 s, 24th of 26 for speed and slower than the field median of 20.3 s, and costs 2 credits (about $0.38 on the Premium plan), which puts it 18th of 26 on quality per credit.
Pick it for
- Composition97 · 7th of 26 · object counts, colours and left/right placement
- Illustration96 · 5th of 26 · holding a named art style with clean shapes and palette
Weigh up
- Text94 · 18th of 26 · exact words rendered legibly, no extra characters
- TextOCR matched the exact phrase in 25% of text prompts
- Speed48.6 s median is slower than the field’s 20.3 s
- Price2 credits per image, 17th of 26 on price; 16 models in the index cost one
Nearest rivals closest overall scores
In the studio what you can set
- Vendor
- Alibaba
- Resolution tiers
- 1K, 2K
- Highest output
- 2K
- Reference images
- Up to 9
- Images per request
- 4
- Seed
- Yes
- Negative prompt
- No
- Base price
- 2 credits · ≈ $0.38
Questions about WAN 2.7 Pro
- Is WAN 2.7 Pro good at rendering text in images?
- In benchmark v1.0 the OCR check found the exact requested phrase in 25% of WAN 2.7 Pro's text-prompt renders, and the blind judge gave its text category 94 out of 100 (field median 95.5). Expect an occasional character slip on longer phrases.
- How fast is WAN 2.7 Pro?
- Median 48.6 seconds from submit to finished image across the 12 benchmark prompts, with the slowest tenth at 56.5 seconds. That is 24th of 26 models; the field median is 20.3 seconds.
- How much does WAN 2.7 Pro cost per image?
- 2 credits at the base 1K tier, about $0.38 at the Premium plan rate of $0.19 per credit. Higher resolution tiers (2K) can cost more; see pricing.
- WAN 2.7 Pro or Riverflow 2.0 Pro?
- Riverflow 2.0 Pro scores 95.7 overall against 95.8 for WAN 2.7 Pro, inside the judge’s noise, so treat them as equal on quality and decide on speed and price. WAN 2.7 Pro renders in 48.6 s for 2 credits; Riverflow 2.0 Pro in 59.1 s for 3 credits.
- What is WAN 2.7 Pro best used for?
- Higher detail at native 2K. Its best category in this run is composition at 97.
- How long has WAN 2.7 Pro been at the top?
- WAN 2.7 Pro is currently 8th; its best rank across 1 benchmark run is #8, 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.
