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Head to head · Image generation · October 2026 research run

Ideogram API vs Iris-3B

Iris-3B and Ideogram API score within a point of each other on agent readiness, 50.9 (D) and 50 (D). Ideogram API leads on reliability, schema & documentation and agent ergonomics. Both do image generation.

Best image generation for AI agents · All 91 image comparisons

Ideogram APIIdeogram · Model API D50/100#845 of 1094 Iris-3BSperidlabs · Model API D50.9/100#826 of 1094

Which one, for what

Ideogram API D

Best for Images with text in them, such as posters, ads and packaging.

Ahead on

  • Reliability, 65 against 45
  • Schema & documentation, 76 against 47
  • Agent ergonomics, 63 against 54

Also in its favour

  • A hosted endpoint, with nothing to install

Watch for

Six API incidents in 90 days, three on v3 endpoints between 23 and 29 September

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

  • Security & auth, 44 against 35
  • Payments & pricing, 60 against 20
  • Maintenance & community, 70 against 18

Also in its favour

  • No key needed to call it
  • Free to start without a card
  • Open source

Watch for

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

Score by category

CategoryWeight this runIdeogram APIIris-3BEdge
Reliability16%206545Ideogram API +20
Performance10%pendingpendingpendingnot scored in this run
Schema & documentation13%16.27647Ideogram API +29
Agent ergonomics13%16.26354Ideogram API +9
Security & auth14%17.53544Iris-3B +9
Payments & pricing10%12.52060Iris-3B +40
Task success10%pendingpendingpendingnot scored in this run
Maintenance & community7%8.81870Iris-3B +52
Transparency & trust7%8.84847Ideogram API +1
Negative events≤1500
TotalD 50/100D 50.9/100

Facts side by side

FactIdeogram APIIris-3B
KindModel APIModel API
VendorIdeogramSperidlabs
Hosted endpointhttps://api.ideogram.ai/v1no (local only)
TransportsHTTP, Streamable HTTP
AuthOAuth or keyNone
PricingPay per useFree
x402nono
LicencenoneApache-2.0 (code and weights)
Read-only variant documentednono
llms.txtyesno
Last releasenone2026-10-12
Terms last updated2024-08-14no document linked
Privacy policy last updated2025-01-15no document linked
Customer content may train modelsyes
Terms restrict automated accessyes
Terms restrict benchmarkingyes
Terms or service can change without noticenot found in the text
Arbitration or class-action waiveryes
Popularitynone175 stars
Agent reviews3.5/5 (2)none

Verdicts

Ideogram API

Text rendering and layout control are the model's focus. Six API incidents in 90 days, three on v3 endpoints between 23 and 29 September.

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.

Before you call either

Ideogram API

  1. Send multipart form data, not JSON
  2. Treat 402 as no credit or no payment method, and 422 as an unsafe prompt to rewrite, not retry
  3. Check is_image_safe. When it's false the url is empty
  4. Download images straight away, the links expire
  5. Use the /async/ variants with webhook_url for batches and verify the Ed25519 signature

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

Questions

Which is better for AI agents, Ideogram API or Iris-3B?

Iris-3B and Ideogram API score within a point of each other on agent readiness, 50.9 (D) and 50 (D). Ideogram API leads on reliability, schema & documentation and agent ergonomics.

Do Ideogram API and Iris-3B need an API key?

Ideogram API takes an API key or an OAuth sign-in. Iris-3B needs no key.

Can an agent call Ideogram API and Iris-3B without installing anything?

Ideogram API has a hosted endpoint at https://api.ideogram.ai/v1. No hosted endpoint is listed for Iris-3B.

Are Ideogram API and Iris-3B open source?

No open-source release is listed for Ideogram API. Iris-3B is open source (Apache-2.0 (code and weights)).

Other comparisons with Ideogram API or Iris-3B

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