| Signal | Veo 2 | Delta | Wan 2.1 T2V |
|---|---|---|---|
Capabilities | 0 | -- | |
Pricing | 5 | -95 | |
Context window size | 0 | -- | |
Recency | 40 | -9 | |
Output Capacity | 20 | -- | |
| Overall Result | 0 wins | of 5 | 2 wins |
Score History
13
current score
Wan 2.1 T2V
right now
15.1
current score
Wan AI
| Metric | Veo 2 | Wan 2.1 T2V | Winner |
|---|---|---|---|
| Overall Score | 13 | 15 | Wan 2.1 T2V |
| Rank | #3 | #1 | Wan 2.1 T2V |
| Quality Rank | #3 | #1 | Wan 2.1 T2V |
| Adoption Rank | #3 | #1 | Wan 2.1 T2V |
| Parameters | -- | -- | -- |
| Context Window | -- | -- | -- |
| Pricing | Free | Free | -- |
| Signal Scores | |||
| Capabilities | 0 | 0 | Veo 2 |
| Pricing | 5 | 100 | Wan 2.1 T2V |
| Context window size | 0 | 0 | Veo 2 |
| Recency | 40 | 49 | Wan 2.1 T2V |
| Output Capacity | 20 | 20 | Veo 2 |
Our score (0-100) is driven by benchmark performance (90%) from Arena Elo ratings, MMLU, GPQA, HumanEval, SWE-bench, and 15+ standardized evaluations. Capabilities and context window serve as tiebreakers (10%). Learn more about our methodology.
Scores 13/100 (rank #3), placing it in the top 99% of all 290 models tracked.
Scores 15/100 (rank #1), placing it in the top 100% of all 290 models tracked.
With only a 2-point gap, these models are in the same performance tier. The practical difference in output quality is minimal - your choice should depend on pricing, latency requirements, and specific feature needs.
Both models are priced similarly, so the decision comes down to quality and features rather than cost.
Both models have comparable response speeds. For most applications, the latency difference is negligible.
When latency matters most: Interactive chatbots, IDE code completion, real-time translation, and user-facing applications where response time directly impacts experience. For batch processing, background summarization, or offline analysis, latency is less critical.
Code generation & review
Based on overall model capabilities and architecture for coding tasks like generating functions, debugging, and refactoring
Customer support chatbot
Suitable for user-facing chat with competitive response times. Veo 2 also offers lower per-token costs for high-volume support
Long document analysis
Larger context window (0K tokens) can process longer documents, contracts, and research papers in a single pass
Batch data extraction
Lower output pricing ($0.00/M) reduces costs when processing thousands of records daily
Creative writing & content
Higher overall composite score (15/100) correlates with better nuance, coherence, and style in long-form content
Veo 2 and Wan 2.1 T2V are extremely close in overall performance (only 2.0999999999999996 points apart). Your best choice depends entirely on which specific strengths matter most for your use case.
Best for Quality
Veo 2
Marginally better benchmark scores; both are excellent
Best for Cost
Veo 2
0% lower pricing; better value at scale
Best for Reliability
Veo 2
Higher uptime and faster response speeds
Best for Prototyping
Veo 2
Stronger community support and better developer experience
Best for Production
Veo 2
Wider enterprise adoption and proven at scale
by Google
| Capability | Veo 2 | Wan 2.1 T2V |
|---|---|---|
| Vision (Image Input) | ||
| Function Calling | ||
| Streaming | ||
| JSON Mode | ||
| Reasoning | ||
| Web Search | ||
| Image Output |
Wan AI
Assumes 60% input / 40% output token ratio per request. Actual costs may vary based on your usage pattern.
| Parameter | Veo 2 | Wan 2.1 T2V |
|---|---|---|
| Context Window | -- | -- |
| Max Output Tokens | -- | -- |
| Open Source | No | Yes |
| Created | Dec 16, 2024 | Feb 1, 2025 |
The video generation category appears highly compressed at the bottom, with Wan 2.1 T2V's 10/100 score placing it at #8 while Veo 2's 0/100 lands at #10. This suggests minimal performance differentiation among lower-tier models, where even small score differences translate to multiple rank positions.
At $350,000 per million output tokens with a 0/100 benchmark score, Veo 2's pricing appears to be a deliberate barrier rather than market pricing. For comparison, Wan 2.1 T2V offers free usage with a 10-point higher score, suggesting Google may be limiting access while the model remains in development.
With Wan 2.1 T2V scoring 10/100 and Veo 2 at 0/100, the open-source nature becomes the primary differentiator for experimentation. Wan's free tier and open weights allow developers to test video generation workflows without commitment, while Veo 2's closed model and prohibitive pricing effectively removes it from consideration.
The all-zero specifications combined with $350,000/M output pricing suggests Veo 2 is either a pre-release placeholder or restricted to internal/partner use. This contrasts with Wan 2.1 T2V which, despite also showing 0-token limits, at least achieves a 10/100 score and provides free access.
Beyond the free tier versus $350,000/M output cost difference, Wan 2.1 T2V's open-source status enables local deployment and modification despite its low 10/100 score. Veo 2's 0/100 score combined with closed access makes it unsuitable for any practical development work.