Seedance 2.5 vs MiniMax H3 vs Wan 3.0: An API-First Comparison

Choosing an AI video model from demo clips is a poor engineering decision. A production team needs to know which inputs the model accepts, how long it can maintain continuity, how billing works, and how many attempts are required before an output becomes usable.

Seedance 2.5, MiniMax H3, and Wan 3.0 are now all available on AIHubMix. That makes it possible to evaluate the three models behind one API key and a common asynchronous task workflow.

This article compares confirmed product capabilities and proposes a repeatable test plan. It does not claim a universal visual-quality winner because no common public blind benchmark covers all three models.

Model matrix

Capability	Wan 3.0	MiniMax H3	Seedance 2.5
Provider	Alibaba Tongyi Lab	MiniMax	ByteDance Seed
AIHubMix model ID	wan3.0-video	minimax-h3	doubao-seedance-2-5-260628
Maximum single generation	30 seconds	15 seconds	30 seconds
Confirmed resolution	480p, 720p, 1080p on AIHubMix	Up to 2K	Not specified in the official launch post
Audio	Audio references and sound-aware video workflow	Native stereo generation	Joint audio-video generation
References	Text, image, audio, video, documents, and webpages	Text, image, video, and audio	Up to 30 images, 10 videos, and 10 audio clips
Editing focus	Unified reference, editing, replication, and motion driving	Multimodal editing and V2V motion transfer	Timestamp, green-screen, perspective, and reference editing
Best initial fit	Flexible production and ecommerce	Short 2K commercial clips with sound	Multi-shot narrative and targeted edits

One specification deserves caution: third-party pages frequently describe Seedance 2.5 as a 4K model, but ByteDance Seed's July 31 launch post does not state an output resolution. Treat resolution as platform-specific until the active API documentation confirms it.

Model 1: Wan 3.0

Wan 3.0 is the flexible production option. It supports a single generation of up to 30 seconds, and AIHubMix exposes 480p, 720p, and 1080p output tiers.

The broader Wan 3.0 workflow supports text, image, audio, and video references as well as structured sources such as documents, spreadsheets, presentations, PDFs, and webpages. This is useful when a generation needs to stay grounded in product documentation or an existing brand page.

Start with Wan 3.0 for:

• ecommerce and product videos;
• character animation centered on one stable subject;
• continuous 10-to-30-second shots;
• workflows that iterate at 480p before rendering at 1080p.

The primary failure mode to test is long-horizon continuity. A 30-second prompt should describe a temporal sequence, camera path, and explicit continuity constraints.

Model 2: MiniMax H3

MiniMax H3 generates up to 15 seconds of native 2K video with stereo audio. MiniMax highlights instruction following, accurate text and brand rendering, reference-based editing, and video-to-video motion transfer.

Start with H3 for:

• product ads containing logos or small text;
• sound-led short-form video;
• 2K product or interface shots;
• transferring motion or camera language from a source video.

Its engineering tradeoff is duration. For longer narratives, treat each H3 generation as a shot and assemble the sequence in an external editor.

Model 3: Seedance 2.5

Seedance 2.5 generates up to 30 seconds of synchronized audio and video and supports multi-round extension. Its official launch material focuses on story structure, transitions, multimodal references, and post-generation control.

A single request can use up to 30 images, 10 video clips, and 10 audio clips. The model also supports timestamp-level instructions and targeted edits to characters, actions, camera perspective, and green-screen backgrounds.

Start with Seedance 2.5 for:

• multi-shot 30-second narratives;
• projects with multiple characters and locations;
• audiovisual work with several references;
• workflows where a local edit is cheaper than regenerating the entire clip.

Reference count is not the same as control. Every asset should have one defined purpose, such as character identity, location, camera movement, or voice.

Calling the models through AIHubMix

The three current model IDs are:

wan3.0-video
minimax-h3
doubao-seedance-2-5-260628

AIHubMix documents an asynchronous video workflow. Enable Async Tasks for the account before submitting jobs.

curl -X POST https://aihubmix.com/ai/v1/videos \
  -H "Authorization: Bearer $AIHUBMIX_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "wan3.0-video",
    "prompt": "A controlled product shot with one slow camera orbit",
    "resolution": "720p"
  }'

Save the returned task ID, poll the task endpoint, and download the completed artifact.

curl https://aihubmix.com/ai/v1/tasks/{task_id} \
  -H "Authorization: Bearer $AIHUBMIX_API_KEY"

curl https://aihubmix.com/ai/v1/tasks/{task_id}/content \
  -H "Authorization: Bearer $AIHUBMIX_API_KEY" \
  --output result.mp4

Model-specific parameters may differ. Switching the model value is useful for an initial harness, but validate supported duration, resolution, and reference fields on each live model page before treating the request schema as identical.

Current AIHubMix billing

Prices checked on August 8, 2026:

Model tier	Price	Ten-second reference cost
Wan 3.0 480p	$0.0338/second	$0.3380
Wan 3.0 720p	$0.06768/second	$0.6768
Wan 3.0 1080p	$0.1352/second	$1.3520
MiniMax H3 768p	$0.07744/second	$0.7744
MiniMax H3 2K	$0.12397/second	$1.2397
Seedance 2.5 without video input	$10.85/million tokens	Usage-dependent
Seedance 2.5 with video input	$6.51/million tokens	Usage-dependent

The two Seedance rates are alternative billing paths, not additive charges. The displayed video-input rate being lower is counterintuitive, and the launch-day model page contains some ambiguity between its input-modality labels and video-reference pricing. Confirm the actual metered usage with a small job before estimating production volume.

Do not compare Seedance's per-token number directly with the per-second prices. Normalize after collecting actual task usage.

A repeatable evaluation harness

Use the same three briefs for every model.

Test A: character continuity

Provide one character reference. Require a turn, a hand interaction, and a camera move. Score face identity, wardrobe, hands, motion, and voice over time.

Test B: product fidelity

Provide one product reference. Require a close-up and an orbit. Score silhouette, logo, small text, materials, reflections, and unwanted redesign.

Test C: temporal instruction following

Define three actions and two camera transitions with explicit timing. Score event order, transition quality, subject continuity, and audiovisual sync.

Persist these fields for every task:

{
  "model": "minimax-h3",
  "brief_id": "product-orbit-v1",
  "attempt": 1,
  "duration_seconds": 10,
  "resolution": "2k",
  "latency_seconds": 0,
  "billed_cost_usd": 0,
  "usable": false,
  "repair_minutes": 0,
  "failure_labels": []
}

The key metric is not price per generation. It is:

cost per usable result = total generation cost / number of accepted outputs

Track manual repair time separately. A cheap model that needs repeated generations and post-production can be more expensive than a model with a higher listed rate.

Decision rules

• Pick Wan 3.0 when duration, resolution-based cost control, and broad source grounding are the main requirements.
• Pick MiniMax H3 when the deliverable is a short 2K commercial shot with native sound, text, or brand details.
• Pick Seedance 2.5 when narrative structure, many references, continuation, and targeted editing matter more than a simple request schema.

Since all three models are now on AIHubMix, the safest selection process is an API-level A/B test using the same brief, acceptance criteria, and cost accounting.

References

• Wan 3.0 on AIHubMix
• MiniMax H3 official launch
• MiniMax H3 on AIHubMix
• Seedance 2.5 official launch
• Seedance 2.5 on AIHubMix

Capabilities and prices were checked on August 8, 2026. Verify live documentation before production use.