That's NeuralModel catalog

bytedance-seed

ByteDance Seed: Seedream 5.5

bytedance-seed/seedream-5-5

Our take

AI-assisted analysis based on the sources below. Suitability is an editorial assessment; test it on your own workload.

The OpenRouter catalog describes bytedance-seed/seedream-5-5 as a ByteDance Seed image generation and editing model. It accepts text and image inputs and produces image outputs. Reported uses include generating images from prompts and editing or combining supplied images. The catalog also lists common request controls such as temperature, top_p, frequency penalty, and maximum tokens. This source pack contains catalog metadata only, with no independent model card or measured benchmark results, so real-world quality and suitability should be validated on the intended workload.[1]

Strengths

  • OpenRouter reports both text and image inputs with image-only outputs.[1]
  • The catalog identifies prompt-based image creation plus editing and combining of existing images as intended capabilities.[1]
  • Listed request parameters include temperature, top_p, frequency penalty, and maximum tokens.[1]

Limitations

  • Evidence is limited to an OpenRouter catalog entry; an independent model card was not available in this source pack.[1]
  • No benchmark entries were supplied, so measured performance is unknown and workload-specific validation is needed.[1]
  • The catalog does not provide a usable context length, knowledge cutoff, or public weights reference for this variant.[1]

Where to use it

  • Consider evaluating it for generating visual drafts or finished images from text prompts.[1]
  • Consider testing it where users need to edit or combine supplied images into new image outputs.[1]
  • It may suit applications that require image responses rather than text responses, subject to workflow validation.[1]

Sources

  1. [1] OpenRouter catalog · ByteDance Seed: Seedream 5.5Sources checked: Nov 13, 2026

About this model

Description below is the original text supplied by OpenRouter, shown in the source language.

Seedream 5.5 is an image generation and editing model from ByteDance Seed. It is suited for creating images from text prompts and for editing or combining existing images, using up...

Specifications

Model ID
bytedance-seed/seedream-5-5
Canonical ID
bytedance-seed/seedream-5-5-20261112
Creator
bytedance-seed
Added to OpenRouter
12.11.2026
Context length
0
Modality
text+image->image
Input modalities
text, image
Output modalities
image
Token pricing
No per-token price in the source snapshot — see OpenRouter for the billing unit
Knowledge cutoff
—
Expiration date
—

Tasks and capabilities

A grade appears only where the source supplies a matching measurement for that task, the model is active and the cohort holds at least 10 comparable models. The capability column lists facts the source declares — supported formats, reasoning and tool parameters — which are not measured quality.

TaskGradeSource-declared capability
General qualityNo measurement—
CodingNo measurement—
AgentsNo measurement—
WritingNo measurement—
ReasoningNo measurement—
Document analysisNo measurement—
VisionNo measurementinput: image
Image generationNo measurementoutput: image
AudioNo measurement—
VideoNo measurement—
EmbeddingsNo measurement—

Evaluations

No evaluations are supplied for this model.

How grades work

Each letter grade compares a model only against other models scored by the same source and metric in the current snapshot. S means the top 10%, A the next 20%, B the next 30%, C the rest. Models without a published measurement are shown as not rated — a supported format alone never implies measured quality.

  • S — S — top 10% of the cohort
  • A — A — next 20% of the cohort
  • B — B — next 30% of the cohort
  • C — C — below the B band

Providers

Optional live provider statistics from OpenRouter. Missing values are unknown, not zero.

ProviderContext lengthPrice in /1MPrice out /1MLatency p50 (30m, s)Throughput p50 (30m, tok/s)Uptime (30m)
Seed0————100%

Provider data retrieved: 13.11.2026

No published articles identify this model yet.