Head to head · Image generation · October 2026 research run

Iris-3B vs Seedream on BytePlus ModelArk

Seedream on BytePlus ModelArk scores 53.8 (D) on agent readiness against Iris-3B's 50.9 (D), and leads in 5 of 7 scored categories. Iris-3B leads on payments & pricing. Both do image generation.

Best image generation for AI agents · All 91 image comparisons

Which one, for what

Iris-3B D

Best for An agent on a machine with a CUDA GPU that needs Apache-2.0 image generation, relative depth or 4x restoration without a vendor account.

Ahead on

  • Payments & pricing, 60 against 20

Also in its favour

  • No key needed to call it
  • Free to start without a card
  • Open source
  • No incidents deducted, where Seedream on BytePlus ModelArk loses 3 points for them

Watch for

No package on PyPI, no version tags, no changelog and no CI workflow. Install is a git clone and pip install -e .

Seedream on BytePlus ModelArk D

Best for Agents that need ByteDance's Seedream models first-hand, multi-reference edits, 4K output or layered PNG output at a published per-image price, for users outside the United States.

Ahead on

  • Schema & documentation, 62 against 47
  • Agent ergonomics, 72 against 54
  • Security & auth, 70 against 44
  • Transparency & trust, 60 against 47

Also in its favour

  • A hosted endpoint, with nothing to install

Watch for

No status page, incident history or ModelArk SLA was found in the pages read

Score by category

CategoryWeight this runIris-3BSeedream on BytePlus ModelArkEdge
Reliability16%204543Iris-3B +2
Performance10%pendingpendingpendingnot scored in this run
Schema & documentation13%16.24762Seedream on BytePlus ModelArk +15
Agent ergonomics13%16.25472Seedream on BytePlus ModelArk +18
Security & auth14%17.54470Seedream on BytePlus ModelArk +26
Payments & pricing10%12.56020Iris-3B +40
Task success10%pendingpendingpendingnot scored in this run
Maintenance & community7%8.87073Seedream on BytePlus ModelArk +3
Transparency & trust7%8.84760Seedream on BytePlus ModelArk +13
Negative events≤150-3
TotalD 50.9/100D 53.8/100

Facts side by side

FactIris-3BSeedream on BytePlus ModelArk
KindModel APIModel API
VendorSperidlabsBytePlus Pte. Ltd. (ByteDance)
Hosted endpointno (local only)https://ark.ap-southeast.bytepluses.com/api/v3
TransportsHTTP
AuthNoneAPI key
PricingFreePay per use
x402nono
LicenceApache-2.0 (code and weights)Proprietary service under the BytePlus Customer Agreement and Service Specific Terms. The Go and Python SDK repositories are Apache-2.0
Read-only variant documentednono
llms.txtnono
Last release2026-10-122026-09-17
Terms last updatedno document linkedcouldn't be read
Privacy policy last updatedno document linkedcouldn't be read
Customer content may train modelscouldn't be read
Terms restrict automated accesscouldn't be read
Terms restrict benchmarkingcouldn't be read
Terms or service can change without noticecouldn't be read
Arbitration or class-action waivercouldn't be read
Popularity175 starsnone

Verdicts

Iris-3B

Code and weights are Apache-2.0, and one Python package runs text-to-image, a 4-step Turbo, depth and 4x restoration from a documented CLI. It is ten days old, with no PyPI package, version tags, changelog or CI, needs an NVIDIA GPU and about 12 GB of weights, and has no server or API of its own.

Seedream on BytePlus ModelArk

Per-image prices from $0.018 are public, and API keys can be limited to named models and an IP allowlist. No status page, SLA or OpenAPI file was found, onboarding needs a browser sign-up, and BytePlus says its model services are not available in the United States.

Before you call either

Iris-3B

  1. Check for an NVIDIA GPU with CUDA and Python 3.11 or newer before downloading. The base weights are about 12 GB, and Qwen3-VL-4B downloads on the first run
  2. Exclude depth/*, upscaler/* and turbo/* in hf download unless those models are needed. Each of the first two adds about 12 GB
  3. Don't pass --steps, --cfg-scale, --negative-prompt, --order or --shift with a Turbo checkpoint. The script exits with an error
  4. Pass --seed to reproduce an image, and set --outdir, since files are named after the prompt and a repeat run overwrites them
  5. Load only exported directories (model.safetensors and config.yaml). A training .pth is read with torch.load(weights_only=False), so never load one from an untrusted source

Seedream on BytePlus ModelArk

  1. POST to https://ark.ap-southeast.bytepluses.com/api/v3/images/generations with Authorization: Bearer $ARK_API_KEY. Keys and model activation are per region
  2. Set watermark to false if the image must not carry the AI-generated mark. The default is true
  3. Download data[].url within 24 hours, or ask for response_format b64_json
  4. Check each data[].error in a sequential batch. One moderated image does not fail the others, and only usage.generated_images is billed
  5. Stay under 500 images a minute per model and back off with jitter on 429. Layer decomposition reserves 17 against that limit per request

Questions

Which is better for AI agents, Iris-3B or Seedream on BytePlus ModelArk?

Seedream on BytePlus ModelArk scores 53.8 (D) on agent readiness against Iris-3B's 50.9 (D), and leads in 5 of 7 scored categories. Iris-3B leads on payments & pricing.

Do Iris-3B and Seedream on BytePlus ModelArk need an API key?

Iris-3B needs no key. Seedream on BytePlus ModelArk needs an API key.

Can an agent call Iris-3B and Seedream on BytePlus ModelArk without installing anything?

No hosted endpoint is listed for Iris-3B. Seedream on BytePlus ModelArk has a hosted endpoint at https://ark.ap-southeast.bytepluses.com/api/v3.

Are Iris-3B and Seedream on BytePlus ModelArk open source?

Iris-3B is open source (Apache-2.0 (code and weights)). No open-source release is listed for Seedream on BytePlus ModelArk.

Other comparisons with Iris-3B or Seedream on BytePlus ModelArk

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