Sora vs Veo 3.1 Preview
Sora (2024) and Veo 3.1 Preview (2025) are general-purpose language models from OpenAI and Google DeepMind. Both ship a not-yet-sourced context window. This comparison covers specs, pricing, API access, capabilities, benchmarks, input and output token costs, and production fit for coding and agent workloads. It focuses on practical selection signals rather than broad model-family marketing. The goal is to make the tradeoff clear before deeper testing.
Veo 3.1 Preview is safer overall; choose Sora when provider fit matters.
Decision scorecard
Local evidence first| Signal | Sora | Veo 3.1 Preview |
|---|---|---|
| Best for | multimodal apps | multimodal apps and provider-routed production |
| Decision fit | General | Vision |
| Context window | — | — |
| Cheapest output | - | - |
| Provider routes | 0 tracked | 2 tracked |
| Shared benchmarks | 0 shared | 0 shared |
Decision tradeoffs
- Use Sora when your own prompt tests beat the comparison signals; the local data does not show a decisive standalone advantage yet.
- Veo 3.1 Preview has broader tracked provider coverage for fallback and route flexibility.
- Veo 3.1 Preview uniquely exposes Vision in local model data.
- Local decision data tags Veo 3.1 Preview for Vision.
Monthly cost at traffic
Estimate token spend from the cheapest tracked input and output route or tier on this page.
Sora
Unavailable
No complete token price in local provider data
Veo 3.1 Preview
Unavailable
No complete token price in local provider data
Cost delta unavailable until both models have sourced input and output token prices.
Switch friction
- No overlapping tracked provider route is sourced for Sora and Veo 3.1 Preview; plan for SDK, billing, or endpoint changes.
- Veo 3.1 Preview adds Vision in local capability data.
- No overlapping tracked provider route is sourced for Veo 3.1 Preview and Sora; plan for SDK, billing, or endpoint changes.
- Check replacement coverage for Vision before moving production traffic.
Specs
| Specification | ||
|---|---|---|
| Released | 2024-12-09 | 2025-10-15 |
| Context window | — | — |
| Parameters | — | — |
| Architecture | Diffusion | - |
| License | Proprietary | Proprietary |
| Openness | Proprietary | Proprietary |
| Weights | Not released | Not released |
| Code | Unknown | Unknown |
| Commercial use | Restricted | Restricted |
| Knowledge cutoff | - | - |
Pricing and availability
| Pricing attribute | Sora | Veo 3.1 Preview |
|---|---|---|
| Input price | - | - |
| Output price | - | - |
| Providers | - |
Pricing not yet sourced for either model.
Capabilities
| Capability | Sora | Veo 3.1 Preview |
|---|---|---|
| Vision | No | Yes |
| Multimodal | Yes | Yes |
| Reasoning | No | No |
| JSON / Tool use | No | No |
| Structured outputs | No | No |
| Code execution | No | No |
| IDE integration | No | No |
| Computer use | No | No |
| Parallel agents | No | No |
Benchmarks
No shared benchmark scores are currently available for this pair.
Deep dive
The capability footprint differs most on vision: Veo 3.1 Preview. Both models share multimodal input, so the practical split is not just feature count. Use those differences to decide whether the page is about raw model quality, agentic coding support, multimodal ingestion, or predictable structured API behavior.
Pricing coverage is uneven: Sora has no token price listed and Veo 3.1 Preview has no token price listed. Provider availability is 0 listed routes versus 2. Treat unknown pricing as an integration gap, then verify the route you will actually call before estimating production spend.
Choose Sora when provider fit are central to the workload. Choose Veo 3.1 Preview when vision-heavy evaluation and broader provider choice are more important. For production, rerun your own prompts through the exact provider, region, and tool stack you plan to ship. This keeps the decision grounded in measurable tradeoffs instead of brand-level assumptions. It also helps separate model capability from provider packaging, which can change cost and latency. For teams standardizing a stack, that distinction is often the difference between a benchmark win and a reliable deployment.
FAQ
Is Sora or Veo 3.1 Preview open source?
Sora is listed under Proprietary. Veo 3.1 Preview is listed under Proprietary. License labels affect whether you can self-host, redistribute weights, or rely only on hosted APIs, so confirm the upstream license before deployment.
Which is better for vision, Sora or Veo 3.1 Preview?
Veo 3.1 Preview has the clearer documented vision signal in this comparison. If vision is mission-critical, validate it against the provider endpoint because model-level support and API-level exposure can differ.
Which is better for multimodal input, Sora or Veo 3.1 Preview?
Both Sora and Veo 3.1 Preview expose multimodal input. The better choice depends on benchmark fit, context budget, pricing, and whether your provider route exposes the same capability surface. Use this as a quick comparison signal, then confirm the provider-specific limits before committing to production.
Where can I run Sora and Veo 3.1 Preview?
Veo 3.1 Preview is available on Google AI Studio and GCP Vertex AI. Provider coverage can affect latency, region availability, compliance posture, and fallback options. Use this as a quick comparison signal, then confirm the provider-specific limits before committing to production.
When should I pick Sora over Veo 3.1 Preview?
Veo 3.1 Preview is safer overall; choose Sora when provider fit matters. If your workload also depends on provider fit, start with Sora; if it depends on vision-heavy evaluation, run the same evaluation with Veo 3.1 Preview.
Continue comparing
Last reviewed: 2026-10-17. Data sourced from public model cards and provider documentation.