LLM Reference

Ideogram 4.0

Released
2026-06-03
Last refreshed
2026-07-10
Status
Researched 93d ago
ProprietaryCommercial use: conditional

Ideogram 4.0 is worth evaluating for general LLM work when its provider route and context window match the workload.

Use it for

  • Teams evaluating general LLM work
  • Buyers comparing 2 tracked provider routes

Do not use it for

  • Vision or document-understanding workloads
  • Strict JSON or tool-calling flows
Specifications
Family
Ideogram
Released
2026-06-03
Parameters
9.3B
Architecture
Diffusion Transformer
Specialization
image-generation
Openness
Proprietary
License
ProprietaryCommercial use: conditional
Weights
Not released
Code
Unknown
Created by

Remixing images and text prompts innovatively

Toronto, Canada
Founded 2022
Website
Pricing
Output / 1M
-
Input / 1M
-

Cheapest of 2 routes · fal API

About

Ideogram's first open-weight image model, a 9.3B-parameter flow-matching Diffusion Transformer released in June 2026. It uses Qwen3-VL-8B as its text encoder, supports structured JSON prompts with bounding-box layout control, and offers Turbo, Default, and Quality rendering-speed tiers through the Ideogram API. Local inference supports 256-2048px outputs at aspect ratios up to 6:1 under a non-commercial license.

Top use-case fit

No primary decision-task fit is mapped for this model yet.

Provider price ladder

Compare all 2

Compare API pricing across 2 providers for input and output tokens, batch, and cached reads when available.

ProviderInput / 1MOutput / 1MRoute
fal API--
ServerlessPartial
Ideogram API--
ServerlessPartial

Capabilities

No model capability flags are currently sourced.

Benchmark peer barsfor Coding

No task-mapped benchmark peers are available for this model yet.

Migration checks

No linked migration route is available for this model yet.