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Wan AI Wan 2.1 T2V

Last updated: 1m ago

by Wan AI

High confidence

Open-source text-to-video model with strong quality for its size.

This model is free to use - no API costs
11
Overall Score
Rank #2 of 10 in Video Generation
Top 20% · Methodology v3
Score Trend
14-day history
API Pricing
Free
Context Window
N/A
0
Released 2025-02-01
#2±1 ranksTop 20%
#1#10

Signal Overview

Capabilities0Pricing100Context0Recency32Output20

Score Breakdown

SignalStrengthWeightImpact
Pricingjust now
100
25%+25.0
Recencyjust now
32
15%+4.8
Output Capacityjust now
20
15%+3.0
Capabilitiesjust now
0
30%+0.0
Context Windowjust now
0
15%+0.0

Capabilities

Reasoning
Vision
Function Calling
JSON Mode
Streaming
Web Search
Image Output

Modalities

Input
text
Output
video

Reviews

Community and practitioner feedback adds real-world signal on top of benchmarks and pricing.

Reviews

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Frequently Asked Questions

Wan 2.1 T2V by Wan AI excels in the Video Generation category, where it ranks #2 with a composite score of 11/100. Open-source text-to-video model with strong quality for its size. It is particularly strong in areas highlighted by its top benchmark performance and adoption metrics, making it suitable for both individual developers and enterprise teams looking for a reliable video generation solution.
Wan 2.1 T2V is priced at $0.00 per million input tokens and $0.00 per million output tokens (USD). Contact the provider for volume discounts and enterprise pricing. Pricing is competitive within the video generation category and reflects the model's quality-to-cost ratio.
In the Video Generation category, Wan 2.1 T2V holds rank #2 out of 10 models tracked. It is among the top 3 models for quality (quality rank #2). You can use our comparison tool at /compare to see detailed side-by-side metrics with specific alternatives. Key differentiators include its composite scoring across benchmarks, community sentiment, and real-world adoption rates.
Wan 2.1 T2V has been evaluated across 5 different signals. Its strongest areas include Capabilities (0/100), Pricing (100/100), Context Window (0/100). These scores are derived from industry-standard benchmarks, community ratings, and real-world performance metrics. The composite score of 11/100 reflects a weighted combination of all tracked signals.
Wan 2.1 T2V is available as a free, open-source model. You can run it locally or use it through various hosting providers. Some API providers may charge for hosted inference, so check individual provider pricing.
Yes, Wan 2.1 T2V is an open-source model. You can download the weights, run it locally, fine-tune it for your use case, or deploy it on your own infrastructure. Many cloud providers also offer hosted versions if you prefer not to manage the infrastructure yourself. Self-hosting gives you full control over data privacy and eliminates per-token API costs.
Wan 2.1 T2V was developed by Wan AI. It was released on February 1, 2025. You can access it through Wan AI's API or download the model weights directly. Check our provider page for all models from Wan AI and how they compare against each other.
Pick Wan 2.1 T2V when you need a budget-friendly option for high-volume, simpler tasks where you prioritize cost over peak performance. If your task is straightforward text completion or classification, a cheaper model might give you 90% of the quality at a fraction of the price. Run a quick benchmark on your actual use case before committing.
You can access Wan 2.1 T2V through Wan AI's API using standard HTTP requests or their official SDK. Most providers support OpenAI-compatible endpoints, so switching between models often requires changing just the model name in your API call. For production use, implement proper error handling, rate limiting, and cost monitoring.

Key Info

ProviderWan AI
LicenseOpen Source
Statusstable
HuggingFaceWan2.1-T2V-14B
Data updated: Aug 9, 2026

Pricing Tools

Access & Availability

Hosted APIAvailable
PlaygroundAvailable
Open weightsYes
Hugging FaceWeights

Pricing

Free

Why This Rank

+Pricing
-Recency
-Output Capacity
-Capabilities

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