Seedance 2.0 delivers ultra-realistic, highly stable audiovisual output: with outstanding motion stability and fine visual detail, it produces imagery with a live-action-quality look and an almost indistinguishable blend of real and virtual visual impact. It can handle complex scenes with ease—vividly recreating everything from subtle micro-expressions and intense physical confrontations to dynamic, high-energy song-and-dance performances. It also comes with professional camera movement, multi-shot storytelling, and text-to-video generation capabilities, enhancing narrative tension. Audio and visuals are generated natively in sync, accurately matching the visuals with rich sound effects. It supports performances in multiple languages, accents, and dialects, giving videos exceptional completeness and immersion. Seedance 2.0 is deeply optimized for three key scenarios: commercial advertising, film/TV production, and social media marketing. With industrial-grade generation quality, the hit rate for successful generations is significantly improved, lowering the barrier and cost of producing high-quality content, streamlining the workflow from idea to final cut, and delivering substantial efficiency gains for the industry.
Providers
Route requests across multiple providers. Copy a provider slug to set your preference.
Uptime
24hoursDirect request success rate on AI Gateway and per-provider.
Throughput
24hoursP50 throughput on live AI Gateway traffic, in tokens per second (TPS).
Latency
24hoursP50 time to first token (TTFT) on live AI Gateway traffic, in milliseconds.
Activity
Token volume and request traffic to this model over time.
Token volume broken down by the provider that served each request. Larger segments indicate providers handling more of this model's traffic.
Benchmarks
Scores on standardized evaluations. Higher percentages are better — and rank percentile shows
Metrics sourced fromArtificial Analysis
Artificial AnalysisApps
Public apps that send the most traffic to this model. Good signal for what real production workloads look like — and a hint at which use cases this model is best suited for. View All
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