What is the context length for Dreamina-Seedance-2.0?

Reported context for Dreamina-Seedance-2.0 is See provider specs. Always verify the active provider row if multiple providers are listed.

Where is the canonical page for Dreamina-Seedance-2.0?

https://llmapi.ai/models/dreamina-seedance-2-0-260128/

How do I call Dreamina-Seedance-2.0 via API?

Send OpenAI-compatible requests to https://api.llmapi.ai/v1 with model "dreamina-seedance-2-0-260128" and your LLM.API key. See the code snippet on this page.

Can I use tools or structured outputs with Dreamina-Seedance-2.0?

Tooling support varies; for pure video models, prefer the modalities listed rather than assuming chat tools.

Is Dreamina-Seedance-2.0 a chat model?

No—Dreamina-Seedance-2.0 is categorized as a video model. Use the matching API surface rather than assuming chat completions.

How long do Dreamina-Seedance-2.0 jobs take?

Video generation typically takes longer than chat; latency scales with duration and resolution and may vary by queue.

How is Dreamina-Seedance-2.0 priced on LLM.API?

Listed pricing metadata shows: 1080p: $0.37/sec; 480p: $0.07/sec; 4k: $0.78/sec; 720p: $0.15/sec. Confirm live rates in the LLM.API dashboard or docs before production budgeting.

Which endpoint do I call for Dreamina-Seedance-2.0?

POST https://api.llmapi.ai/v1/chat/completions with model "dreamina-seedance-2-0-260128" and your LLM.API key. The request and response bodies are OpenAI-compatible.

How do I switch from OpenAI to Dreamina-Seedance-2.0 on LLM.API?

Change two lines: set base_url to https://api.llmapi.ai/v1 and api_key to your LLM.API key. The rest of your OpenAI SDK code stays the same.

Does Dreamina-Seedance-2.0 support function calling and structured outputs?

Function calling: not supported. Structured outputs: not supported.

Dreamina-Seedance-2.0 API: Endpoint & Pricing

Dreamina-Seedance-2.0 exposes video generation video generation through LLM.API so motion experiments share the same billing and auth as other models.

Start Using API

What is Dreamina-Seedance-2.0?

Dreamina-Seedance-2.0 targets motion content rather than chat. Video generation model by Byteplus. On LLM.API it sits alongside other media models under a single developer account.

Can you self-host Dreamina-Seedance-2.0?

No. We found no public weights for Dreamina-Seedance-2.0 on Hugging Face, so there is nothing to download, quantize or serve on your own GPUs: no VRAM budget, no vLLM or GGUF build to plan for. The only way to run it is over an API.

Skip the deploy — use LLM.API as your endpoint

No GPUs, no quantization trade-offs. Same model, OpenAI-compatible, up to 30% below list price.

Get API key See API code ↓

Providers

LLM.API routes Dreamina-Seedance-2.0 to the providers below, with discounted effective rates versus list price.

List price by provider

InputOutput

byteplus$0 in

$0.0008 out

runware$0 in

$0.0008 out

Provider list prices; the LLM.API discount applies on top.

Provider	Pricing	Context	Capabilities
byteplus	in —; out $0.0008 per second of video	—	—
runware	in —; out $0.0008 per second of video	—	—

Prices and availability from the LLMAPI catalogue, updated nightly. Last updated 8 Oct 2026.

Try this model

Test Dreamina-Seedance-2.0 right here — free to start.

Dreamina-Seedance-2.0

Hi! Want to test the model?

Suggestions for your first prompt

Code snippet

Call Dreamina-Seedance-2.0 through the OpenAI-compatible API — Video generation via LLM.API (see docs for media endpoints).

Switching from OpenAI? Change 2 lines.

- base_url="https://api.openai.com/v1"
- api_key="YOUR_OPENAI_KEY"
+ base_url="https://api.llmapi.ai/v1"
+ api_key="YOUR_LLMAPI_KEY"

Everything else stays the same — SDK, message format, tools, streaming. Set model to dreamina-seedance-2-0-260128 and the call runs unchanged.

bash

curl https://api.llmapi.ai/v1/chat/completions \
  -H "Authorization: Bearer $LLMAPI_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "dreamina-seedance-2-0-260128",
    "messages": [
      {"role": "user", "content": "Give me three crisp launch checklist items."}
    ]
  }'

from openai import OpenAI

client = OpenAI(
    api_key="YOUR_LLMAPI_KEY",
    base_url="https://api.llmapi.ai/v1",
)

resp = client.chat.completions.create(
    model="dreamina-seedance-2-0-260128",
    messages=[
        {"role": "system", "content": "You are a precise product assistant."},
        {"role": "user", "content": "Give me three crisp launch checklist items."},
    ],
)
print(resp.choices[0].message.content)

import OpenAI from "openai";

const client = new OpenAI({
  apiKey: process.env.LLMAPI_KEY,
  baseURL: "https://api.llmapi.ai/v1",
});

const resp = await client.chat.completions.create({
  model: "dreamina-seedance-2-0-260128",
  messages: [
    { role: "user", content: "Give me three crisp launch checklist items." },
  ],
});

console.log(resp.choices[0].message.content);

stream = client.chat.completions.create(
    model="dreamina-seedance-2-0-260128",
    messages=[{"role": "user", "content": "Write a haiku about latency."}],
    stream=True,
)

for chunk in stream:
    delta = chunk.choices[0].delta.content
    if delta:
        print(delta, end="", flush=True)

{
  "model": "dreamina-seedance-2-0-260128",
  "messages": [
    {"role": "system", "content": "You are a precise product assistant."},
    {"role": "user", "content": "Give me three crisp launch checklist items."}
  ]
}

ENDPOINTS

Supported endpoints & features

Base URL https://api.llmapi.ai/v1 · model ID dreamina-seedance-2-0-260128 · OpenAI-compatible.

POST /v1/chat/completionsChat Completions — supported

Feature	Status	How to set it
Function calling (tools)	Not supported	`tools, tool_choice`
Parallel tool calls	Not supported	`parallel_tool_calls`
JSON mode	Not supported	`response_format: {"type": "json_object"}`
Structured outputs	Not supported	`response_format: {"type": "json_schema", …}`
Streaming	Not supported	`stream: true`
Vision (image input)	Not supported	`image_url content parts`
Web search	Not supported	`web_search`

ERRORS

Errors & fallback routing

Code	What it means	What to do
`401`	Missing or invalid API key.	Send `Authorization: Bearer YOUR_LLMAPI_KEY` and check the key is active.
`429`	Rate limited, or the upstream provider is throttling the request.	Back off and retry with jitter; the gateway also retries the request on another provider where one is available.
`5xx`	Upstream provider error or timeout.	Retry; fallback routing sends the retry to the next healthy provider for this model.

When a provider fails or throttles, the request is routed to the next provider serving this model — the ones listed in the providers table above.

Dreamina-Seedance-2.0 in production

Best workloadsLLM.API features

What the model is good at.

Product visualization
Helps visualize products and environments before shoot or 3D work. Reflects video generation positioning for this endpoint.
Resolution options
Supports multiple output resolutions depending on provider pricing tiers. Reflects video generation positioning for this endpoint.
Storyboard acceleration
Turns written beats into moving drafts for rapid review. Grounded in the model's video role rather than generic chat claims.
Motion coherence
Targets temporally consistent motion across frames for the requested scene. Tuned to how teams typically call Dreamina-Seedance-2.0.
Text-to-video generation
Synthesizes short video clips from prompts for ads, explainers, and social.

What you get when you call Dreamina-Seedance-2.0 through LLM.API.

Unified AI Routing
Production: Reach Dreamina-Seedance-2.0 and sibling models through one OpenAI-compatible endpoint.
One endpoint, every model.
Cost Control
Compare provider price points and keep spend visible as you scale Dreamina-Seedance-2.0.
More performance, less spend.
Reliability Layer
Retry and route across configured providers when a single upstream blips.
Never go dark on users.
Observability
Trace prompts, tokens, and errors for Dreamina-Seedance-2.0 alongside the rest of your stack.
See every token, everywhere.
Drop-in SDKs
Keep using familiar OpenAI client patterns with base URL https://api.llmapi.ai/v1.
Think tasks, not models.
Model Breadth
Swap Dreamina-Seedance-2.0 for chat, media, or embedding alternatives without rewriting auth.
Scale from 1 to millions.

When to Use — When NOT to Use

Use it if...

You are building short-form generative video features (Dreamina-Seedance-2.0)
You can tolerate longer generation times than chat (Dreamina-Seedance-2.0)
You need resolution-tiered pricing for motion content (Dreamina-Seedance-2.0)

Avoid if...

You only need still images or chat text
You need broadcast-length films or guaranteed cinema-grade continuity
You require sub-second interactive generation

LLM API rating for Dreamina-Seedance-2.0

★ 2.5/ 5.0LLM API rating
50% production adoption · 30% category benchmark · 20% tooling & valueEstimated from published specs

2.5Production adoptionNot yet tracked — no public usage data for this release

2.8Benchmark qualityNo public Arena rank — scored on declared reasoning support

2.0Developer ecosystemContext window, tool and JSON support, price against the category median

How is this rating calculated?

Every model gets a separate 1.0–5.0 score for each category it can be used in, so a model can rate high for coding and lower for vision. The score combines three parts:

Production adoption — 50%. How widely the model is actually used in production: provider traffic, LiteLLM and gateway usage, open-weight downloads and its LMArena rank. Proven, widely used models score highest.
Category benchmark — 30%. The public benchmark that matters for that category — the Artificial Analysis Intelligence Index and LMArena Elo for reasoning, LMArena coding Elo for coding, image and document support plus vision Elo for vision, tool and JSON support for function calling, measured speed for voice.
Tooling & value — 20%. Context window, support for tools, structured outputs and streaming, and price compared with the category median.

Scores of 4.0 and above are shown in green, 3.0–3.9 in yellow, below 3.0 in red. When a model has no public data for a part, it gets a neutral value instead of an invented number.

A “Verified benchmark” mark (✓) means an independent lab — LMArena or Artificial Analysis — has actually tested that model, and the source figure is shown. Models without that mark are labelled “Estimated from published specs”: the score comes from the published context window, tool and schema support, price and adoption only, because no independent lab has tested them yet.

One exception: a brand-new top-tier model that scores very high on the independent benchmarks but has no usage history yet is rated on the benchmark (60%) and tooling & value (40%) alone, so a missing adoption figure can't hold it back. All inputs come from public sources and are refreshed weekly.

Adoption and benchmark inputs come from public sources — LMArena, Artificial Analysis Intelligence Index and published model specs. Updated weekly.

COMMUNITY

What creators say about AI video models

LMArena—Speed—Sources: LMArena, Artificial Analysis

Summarised from publicly published developer and community reviews of this model family. Opinions are the sources’, not LLM.API’s, and may not be specific to Dreamina-Seedance-2.0.

Creator reviews of the latest Kling releases praise multi-shot consistency, native audio and genuine 4K output.
Comparisons with Sora and Runway focus on prompt adherence and motion stability rather than raw resolution.
The common workflow advice: generate many short takes cheaply, then upscale or extend the ones that land.

SOURCES

COMMUNITY

What developers say about Dreamina-Seedance-2.0

Summarised from public developer discussions and write-ups. Opinions are the sources’, not LLM.API’s.

Developers on LinkedIn report that the model provides a flexible workflow by supporting simultaneous image, video, and text inputs, making it significantly easier to transform conceptual ideas into cinematic-quality results.
Testers note that while the model excels at synchronized audio-visual generation, the consumer version is limited to 720p resolution and can be expensive to run compared to other video models.
Technical reviewers highlight that non-English speech frequently breaks and content filters are aggressive, though the dual-branch DiT architecture effectively eliminates the need for external post-production and dubbing tools.

SOURCES

Frequently Asked Questions

What is the context length for Dreamina-Seedance-2.0?
Reported context for Dreamina-Seedance-2.0 is See provider specs. Always verify the active provider row if multiple providers are listed.
Where is the canonical page for Dreamina-Seedance-2.0?
https://llmapi.ai/models/dreamina-seedance-2-0-260128/
How do I call Dreamina-Seedance-2.0 via API?
Send OpenAI-compatible requests to https://api.llmapi.ai/v1 with model "dreamina-seedance-2-0-260128" and your LLM.API key. See the code snippet on this page.
What is Dreamina-Seedance-2.0?
Video generation model by Byteplus. On LLM.API it is addressed as `dreamina-seedance-2-0-260128`.
Can I use tools or structured outputs with Dreamina-Seedance-2.0?
Tooling support varies; for pure video models, prefer the modalities listed rather than assuming chat tools.
Is Dreamina-Seedance-2.0 a chat model?
No—Dreamina-Seedance-2.0 is categorized as a video model. Use the matching API surface rather than assuming chat completions.
How long do Dreamina-Seedance-2.0 jobs take?
Video generation typically takes longer than chat; latency scales with duration and resolution and may vary by queue.
How is Dreamina-Seedance-2.0 priced on LLM.API?
Listed pricing metadata shows: 1080p: $0.37/sec; 480p: $0.07/sec; 4k: $0.78/sec; 720p: $0.15/sec. Confirm live rates in the LLM.API dashboard or docs before production budgeting.

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Dreamina-Seedance-2.0 API: Endpoint & Pricing

What is Dreamina-Seedance-2.0?

Can you self-host Dreamina-Seedance-2.0?

Providers

Try this model

Code snippet

Supported endpoints & features

Errors & fallback routing

Dreamina-Seedance-2.0 in production

Product visualization

Resolution options

Storyboard acceleration

Motion coherence

Text-to-video generation

Unified AI Routing

Cost Control

Reliability Layer

Observability

Drop-in SDKs

Model Breadth