meta
Meta: Muse Image
meta/muse-image
Our take
AI-assisted analysis based on the sources below. Suitability is an editorial assessment; test it on your own workload.
meta/muse-image is an image generation model from Meta listed in the OpenRouter catalog. According to that listing, it accepts text and reference images as input and outputs images, covering both generation and editing. The catalog describes it as an agentic model that reasons before it renders, a vendor-reported claim rather than an independently measured result. A 65,536-token context length and standard sampling parameters are reported. Only catalog data was supplied; no independent model card was available in this source pack.[1]
Strengths
- Per the OpenRouter catalog, accepts text plus reference images and emits images, so one endpoint covers both generation and editing.[1]
- The catalog description presents it as an agentic model that reasons before rendering, unlike single-pass image generators; this is a source claim, not a measured result.[1]
- Reported 65,536-token context length, with standard sampling controls such as temperature, top_p, top_k, and repetition penalty.[1]
Limitations
- All evidence comes from the OpenRouter catalog; no independent model card was available in this source pack, so capabilities remain provider-reported rather than verified.[1]
- The listing includes no benchmark scores or evaluation data, so real output quality is unverified and should be validated on your own workloads.[1]
- The catalog description is truncated, leaving details of the editing scope and reasoning behavior under-specified.[1]
Where to use it
- Text-to-image generation for design drafts or creative concepts, a plausible fit given the catalog-reported modalities; validate quality before production use.[1]
- Instruction-guided image editing using reference images, per the input modalities listed in the catalog.[1]
- Multi-step image pipelines that could benefit from the reasoning pass the catalog claims occurs before rendering.[1]
Sources
- [1] OpenRouter catalog · Meta: Muse ImageSources checked: Nov 13, 2026
About this model
Description below is the original text supplied by OpenRouter, shown in the source language.
Muse Image is an agentic image generation model from Meta that generates and edits images from text and reference images. Unlike single-pass image models, it reasons before it renders, breaking...
Specifications
- Model ID
- meta/muse-image
- Canonical ID
- meta/muse-image-1.0-eval-20260824
- Creator
- meta
- Added to OpenRouter
- 26.08.2026
- Context length
- 65,536
- 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.
| Task | Grade | Source-declared capability |
|---|---|---|
| General quality | No measurement | — |
| Coding | No measurement | — |
| Agents | No measurement | — |
| Writing | No measurement | — |
| Reasoning | No measurement | — |
| Document analysis | No measurement | — |
| Vision | No measurement | input: image |
| Image generation | No measurement | output: image |
| Audio | No measurement | — |
| Video | No measurement | — |
| Embeddings | No 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.
| Provider | Context length | Price in /1M | Price out /1M | Latency p50 (30m, s) | Throughput p50 (30m, tok/s) | Uptime (30m) |
|---|---|---|---|---|---|---|
| Meta | 65,536 | — | — | — | — | 100% |
Provider data retrieved: 13.11.2026
Related articles
No published articles identify this model yet.