tbc
TBC: mischief 1
tbc/mischief-1
Our take
AI-assisted analysis based on the sources below. Suitability is an editorial assessment; test it on your own workload.
tbc/mischief-1 is listed in the OpenRouter catalog as a video generation model from author 'tbc' that accepts text and image inputs and produces video output, including image-to-video generation. The catalog description presents it as a neuron-derived video model from The Biological Computing Co. and characterizes it as fast and affordable; these are vendor-provided claims, not measured results. No benchmark data is reported in this source pack, and an independent model card was not available, so capabilities and performance remain unverified beyond the catalog listing.[1]
Strengths
- Accepts both text and image inputs and generates video, including image-to-video, according to the OpenRouter catalog.[1]
- The catalog listing exposes adjustable generation parameters such as temperature and max_tokens.[1]
- The catalog description characterizes it as fast and affordable, a vendor claim rather than a measured result.[1]
Limitations
- Only OpenRouter catalog data was supplied; no independent model card or benchmark results were available, so all capability claims are source-reported and unverified.[1]
- Context length, knowledge cutoff, and hardware requirements are not specified in the listing; real-world performance and output quality require validation on the user's own workloads.[1]
Where to use it
Sources
- [1] OpenRouter catalog · TBC: mischief 1Sources checked: Nov 13, 2026
About this model
Description below is the original text supplied by OpenRouter, shown in the source language.
TBC mischief 1 is the world's first neuron-derived video model from The Biological Computing Co. It supports image to video and is a fast and affordable way to bring ideas...
Specifications
- Model ID
- tbc/mischief-1
- Canonical ID
- tbc/mischief-1-20261023
- Creator
- tbc
- Added to OpenRouter
- 30.10.2026
- 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) |
|---|---|---|---|---|---|---|
| Ambient | 0 | — | — | — | — | 100% |
Provider data retrieved: 13.11.2026
Related articles
No published articles identify this model yet.