AiRecMark/Comparisons/Google Veo vs Wan
HASH: 0x21e3...8e64 SNAPSHOT: 2026-09-15 CORPUS: VIDEO CATEGORY • DIMS V2-5DIM
EMPIRICAL BENCHMARK DOSSIER N=2 ARCHIVED TOOLS • 5 DIMENSIONS

Google Veo vs Wan: generation quality vs editing depth compared

Google Veo (deepMind's flagship text-to-video models, served through Gemini plans) and Wan (alibaba open-weights video generation with a hosted studio) go head-to-head across AiRecMark's deterministic five-dimension index — quality, features, usability, performance and value — with every score drawn from published tool archives as of 2026-09-15. Which video tool should teams standardize on?

workspace_premium AiRecMark Verified Winner

Google Veo Wins by +2.3 Overall Points

Google Veo (83.2/100) leads the Airecmark five-dimension composite, taking Output Quality, Feature Depth, Usability, Performance. Wan (80.9/100) stays ahead on Value for Money. Wan entry pricing is roughly 75% lower ($5/mo).

Delta: +2.3 Composite Score Google Veo Output Quality Lead: +10 pts Wan Value for Money Lead: +14 pts
Google Veo 83.2
Output Quality92
Feature Depth84
Usability84
Performance84
Value for Money70
Inspect Google Veo →
Wan 80.9
Output Quality82
Feature Depth80
Usability80
Performance78
Value for Money84
Inspect Wan →
Archive vectors

5-Axis Differential Engine Performance

Google Veo
Wan
Value for Money +14.0 pt Lead

Wan takes Value for Money by 14.0 points (84 vs 70) on AiRecMark's deterministic five-dimension index.

WAN (84)84 / 100
GOOGLE VEO (70)70 / 100
Output Quality +10.0 pt Lead

Google Veo takes Output Quality by 10.0 points (92 vs 82) on AiRecMark's deterministic five-dimension index.

GOOGLE VEO (92)92 / 100
WAN (82)82 / 100
Performance +6.0 pt Lead

Google Veo takes Performance by 6.0 points (84 vs 78) on AiRecMark's deterministic five-dimension index.

GOOGLE VEO (84)84 / 100
WAN (78)78 / 100
Scenario Architecture

Choose Your Video Tool by Working Style

Both tools sit near the top of the video category, but their dimension profiles and pricing models produce clearly distinct working styles.

terminal

Standardize on Google Veo if...

Optimized for: Google-Ecosystem Creators
  • check_circle Composite lead (83.2/100): tops the Airecmark index against Wan (80.9/100) on the archive-recorded five-dimension composite.
  • check_circle Leads Output Quality (92 vs 82): a 10-point edge on the deterministic index.
  • check_circle State-of-the-art realism and native audio generation: cited in the Airecmark editorial assessment as a differentiator versus Wan.
  • check_circle Deep integration with Gemini app and Flow: cited in the Airecmark editorial assessment as a differentiator versus Wan.
SUBSCRIPTION TIER $19.99 / mo
Try Google Veo arrow_forward subscription • from $19.99/mo • Google DeepMind
speed

Standardize on Wan if...

Optimized for: Open-Weights Video Tinkerers
  • check_circle Leads Value for Money (84 vs 70): a 14-point edge on the deterministic index.
  • check_circle Open weights (Apache-2.0) for self-hosting: cited in the Airecmark editorial assessment as a differentiator versus Google Veo.
  • check_circle Entry hosted tier just $5/mo annual: cited in the Airecmark editorial assessment as a differentiator versus Google Veo.
  • check_circle Daily free credits on the hosted studio: cited in the Airecmark editorial assessment as a differentiator versus Google Veo.
SUBSCRIPTION TIER $5 / mo
Try Wan arrow_forward freemium • from $5/mo • Alibaba (Tongyi)
Empirical Breakdown

5-Axis Benchmark Deep Dive

Dimension scores are drawn from the AiRecMark tool archives (V2-5DIM, as of 2026-09-15) on a 0-100 scale; per-axis winner calls use the higher dimension score with deterministic tie handling.

AXIS 01

Output Quality

Accuracy, depth and reliability of primary outputs
GOOGLE VEO: 9.2 / 10 WAN: 8.2 / 10 WINNER: GOOGLE VEO
Google Veo — Output Quality

Google Veo posts 92 / 100 on Output Quality. The audit highlights state-of-the-art realism and native audio generation and deep integration with Gemini app and Flow as its signature strengths.

Wan — Output Quality

Wan posts 82 / 100 on Output Quality. The audit highlights open weights (Apache-2.0) for self-hosting and entry hosted tier just $5/mo annual as its signature strengths.

AXIS 02

Feature Depth

Breadth, maturity and extensibility of the capability set
GOOGLE VEO: 8.4 / 10 WAN: 8 / 10 WINNER: GOOGLE VEO
Google Veo — Feature Depth

Google Veo posts 84 / 100 on Feature Depth. The audit highlights state-of-the-art realism and native audio generation and deep integration with Gemini app and Flow as its signature strengths.

Wan — Feature Depth

Wan posts 80 / 100 on Feature Depth. The audit highlights open weights (Apache-2.0) for self-hosting and entry hosted tier just $5/mo annual as its signature strengths.

AXIS 03

Usability

Onboarding, interface clarity and daily ergonomics
GOOGLE VEO: 8.4 / 10 WAN: 8 / 10 WINNER: GOOGLE VEO
Google Veo — Usability

Google Veo posts 84 / 100 on Usability. The audit highlights state-of-the-art realism and native audio generation and deep integration with Gemini app and Flow as its signature strengths.

Wan — Usability

Wan posts 80 / 100 on Usability. The audit highlights open weights (Apache-2.0) for self-hosting and entry hosted tier just $5/mo annual as its signature strengths.

AXIS 04

Performance

Speed, stability and consistency under production load
GOOGLE VEO: 8.4 / 10 WAN: 7.8 / 10 WINNER: GOOGLE VEO
Google Veo — Performance

Google Veo posts 84 / 100 on Performance. The audit highlights state-of-the-art realism and native audio generation and deep integration with Gemini app and Flow as its signature strengths.

Wan — Performance

Wan posts 78 / 100 on Performance. The audit highlights open weights (Apache-2.0) for self-hosting and entry hosted tier just $5/mo annual as its signature strengths.

AXIS 05

Value for Money

Pricing fairness relative to delivered capability
GOOGLE VEO: 7 / 10 WAN: 8.4 / 10 WINNER: WAN
Google Veo — Value for Money

Google Veo posts 70 / 100 on Value for Money. Published entry pricing: Via Google AI Pro $19.99/mo · AI Ultra $249.99/mo (highest limits).

Wan — Value for Money

Wan posts 84 / 100 on Value for Money. Published entry pricing: Free + daily check-in credits · paid from $5/mo (yearly, 300 credits) or $6.50 monthly · open weights Apache-2.0.

Feature-by-Feature Matrix

Exhaustive Technical Specification Diff

COMPLIANCE: AIRECMARK EVALUATION PROTOCOL V2.4
Capability / Specification Google Veo ($19.99/mo) Wan ($5/mo) Deterministic Winner
Overall AirecMark Score
Composite of the five recorded dimensions
83.2 / 100 80.9 / 100 Google Veo (Composite lead)
Output Quality
Accuracy, depth and reliability of primary outputs
92 / 100 82 / 100 Google Veo (+10 pts)
Feature Depth
Breadth, maturity and extensibility of the capability set
84 / 100 80 / 100 Google Veo (+4 pts)
Usability
Onboarding, interface clarity and daily ergonomics
84 / 100 80 / 100 Google Veo (+4 pts)
Performance
Speed, stability and consistency under production load
84 / 100 78 / 100 Google Veo (+6 pts)
Value for Money
Pricing fairness relative to delivered capability
70 / 100 84 / 100 Wan (+14 pts)
Starting Price
Published entry pricing (USD)
Via Google AI Pro $19.99/mo · AI Ultra $249.99/mo (highest limits) Free + daily check-in credits · paid from $5/mo (yearly, 300 credits) or $6.50 monthly · open weights Apache-2.0 Wan (Lower entry price)
Best For
Documented target audience
Google-Ecosystem Creators Open-Weights Video Tinkerers Tie (Use-case dependent)
Engineering Operations

Migration Playbook: Switching Without Friction

Swapping a daily driver mid-project is costly. Follow this three-step checklist to evaluate Google Veo and Wan on equal terms before standardizing your team.

01

Export Config, Prompts & Data

Inventory what each candidate needs: prompt libraries, templates, connected accounts and project files. Export from your current stack first so Google Veo and Wan start from the same baseline.

SETUP: SAME BASELINE
02

Map Pricing to Your Real Usage

Compare published entry tiers against your expected volume. Google Veo starts at $19.99/mo (subscription); Wan starts at $5/mo (freemium) — model the monthly cost at your actual workload before committing.

ECONOMICS: PUBLISHED TIERS
03

Run a Two-Week Parallel Trial

Run both tools on the same live tasks for ten working days. Score outputs against the five Airecmark dimensions, then let the 2.3-point composite gap — not vendor marketing — decide the standardization call.

balance

Deterministic Evaluation Methodology & Integrity Standard

AiRecMark evaluates every tool against its deterministic five-dimension index (Quality, Features, Usability, Performance, Value) using official documentation, published pricing pages and the published five-dimension rubric. All scores, deltas and winner calls in this dossier are drawn from the published tool archives as of 2026-09-15 and can be traced back to the public tool profiles.

Affiliate Blind Trust Policy: Any referral commissions or partner links generated through AiRecMark are routed into a blind trust utilized exclusively to fund bare-metal compute benchmarks. Zero sponsored placement or ranking distortion is permitted under any circumstances.

BENCHMARK ENGINE: AIRECMARK-DETERMINISTIC-V2.4 SOURCE: DATA/TOOLS/*.JSON
VERDICT SUMMARY