runway
Runway: Gen-4.5
runway/gen-4.5
Our take
AI-assisted analysis based on the sources below. Suitability is an editorial assessment; test it on your own workload.
runway/gen-4.5 is cataloged by OpenRouter as a Runway video-generation model that accepts text or image prompts and produces video. The catalog describes it for text-to-video and image-to-video workflows and for cinematic scene creation, with reported strengths in motion quality, visual fidelity, and prompt adherence. These are source-reported capabilities rather than measured performance: no benchmark entries or supported parameters were listed, and an independent model card was not available in this source pack.[1]
Strengths
Limitations
- All supplied evidence comes from OpenRouter's catalog; an independent model card was not available, so reported capabilities need validation on the intended workload.[1]
- No measured benchmark results or supported request parameters were listed, leaving performance and control options unclear.[1]
- The supplied record does not establish output constraints, latency, licensing, safety behavior, or hardware requirements.[1]
Where to use it
- Worth evaluating for cinematic video concepts generated from written prompts.[1]
- Worth evaluating where an existing still image should guide the visual starting point of generated motion.[1]
- Potentially suitable for creative concept drafts when prompt adherence matters, provided outputs are tested on the intended scenes and acceptance criteria.[1]
Sources
- [1] OpenRouter catalog · Runway: Gen-4.5Sources checked: Nov 13, 2026
About this model
Description below is the original text supplied by OpenRouter, shown in the source language.
Runway Gen-4.5 is a video generation model from Runway for text-to-video and image-to-video workflows. It is designed for cinematic scene creation with strong motion quality, visual fidelity, and prompt adherence....
Specifications
- Model ID
- runway/gen-4.5
- Canonical ID
- runway/gen-4.5-20260729
- Creator
- runway
- Added to OpenRouter
- 29.07.2026
- Context length
- 0
- Modality
- text+image->video
- Input modalities
- text, image
- Output modalities
- video
- 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 | — |
| Audio | No measurement | — |
| Video | No measurement | output: video |
| 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) |
|---|---|---|---|---|---|---|
| Runway | 0 | — | — | — | — | — |
Provider data retrieved: 13.11.2026
Related articles
No published articles identify this model yet.