Cheaper Inference
Model record / alibaba
wan-v2.6-t2v
Access wan-v2.6-t2v from alibaba through one OpenAI-compatible API with live market-linked pricing and usage-based billing.
Video generationText inputVideo inputStandard generationNon-streaming35% below list
What you pay
Current catalog rates.
1080P image$0.15 list$0.0975
720P image$0.10 list$0.065
Current discount35%
Observed reliability
100
Successful provider-reaching requests
Output speed
—
Median tokens per second over sustained generations
TTFT
—
p50 · p90 not available · n 0
Latency
43.9 s
p50 · p90 43.9 s · n 1
Evidence strength
—
At a glance
- Provider
- alibaba
- Model ID
- wan-v2.6-t2v
- Type
- Video generation
- Endpoint
- /v1/videos/generations
- Input
- Not reported
- Output
- Not reported
- Vision input
- Not supported
- Image editing
- Not supported
- Video input
- Supported
- Reasoning
- Not supported
- Streaming
- Not supported
- Context window
- Not reported
Parameters by endpoint
The request field of each parameter on each endpoint, and the values it takes.
This model takes the fields in its sample request. It has no other stated parameters.
Pricing history
See how much this model saves and when its recorded price has been lowest.
Time zone
wan-v2.6-t2v
Early dataNo pricing history has been recorded for this model in the selected range yet. Savings and a best-time recommendation appear once the price sync captures its first observations.
Last 7 days
Average saved
--
Last 7 days
Cheapest time
Collecting data
Too early
Hourly coverage
0/24
0 total observations
Signal quality
Early
More history needed
When this model is cheapest
Each bar is the average discount for that hour in UTC (UTC). Missing bars mean no observation was recorded.
ObservedCheapestNo data
Hover a bar for savings per token and observation counts.
Source buckets are UTC; labels are converted to UTC.
Last 24 hours
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of 425 ranked models
Last 7 days
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of 440 ranked models
Last 30 days
—
of 440 ranked models
Ready when you are
Stop paying list price for tokens.
Marketplace pricing, capped at list, optimized further.