krea
Krea: Krea 2 Medium Turbo
krea/krea-2-medium-turbo
Our take
AI-assisted analysis based on the sources below. Suitability is an editorial assessment; test it on your own workload.
According to its OpenRouter catalog listing, Krea 2 Medium Turbo is an image-generation model from Krea described as a distilled, speed-oriented variant of Krea 2 Medium. It accepts text and image inputs and produces image outputs, positioned for rapid iteration and graphic design exploration. The listing reports a large input context window. No independent model card was available in this source pack, and the catalog shows no benchmark results, so real-world quality and speed remain unverified by this evidence.[1]
Strengths
Limitations
- Only an OpenRouter catalog entry was supplied; no independent model card, benchmark results, or measured performance data were available, so the stated capabilities are catalog claims pending workload validation.[1]
- The listing reports empty benchmark fields, no supported parameters, and no documented license or hardware terms, leaving quality, tunability, and usage conditions unknown.[1]
Where to use it
Sources
- [1] OpenRouter catalog · Krea: Krea 2 Medium TurboSources checked: Nov 13, 2026
About this model
Description below is the original text supplied by OpenRouter, shown in the source language.
Krea 2 Medium Turbo is a distilled, speed-focused variant of Krea 2 Medium from Krea. It is designed for rapid iteration and graphic design exploration where fast generation is the...
Specifications
- Model ID
- krea/krea-2-medium-turbo
- Canonical ID
- krea/krea-2-medium-turbo-20260720
- Creator
- krea
- Added to OpenRouter
- 20.07.2026
- 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) |
|---|---|---|---|---|---|---|
| Krea | 65,536 | — | — | — | — | — |
Provider data retrieved: 13.11.2026
Related articles
No published articles identify this model yet.