Japanese Stable VLM
Japanese Stable VLM is worth evaluating for general LLM work when its provider route and context window match the workload.
Use it for
- Teams evaluating general LLM work
- Buyers comparing 1 tracked provider route
Do not use it for
- Vision or document-understanding workloads
- Strict JSON or tool-calling flows
- Family
- Japanese StableLM
- Released
- 2023-04-10
- Parameters
- 7B
- Architecture
- Decoder Only
- Specialization
- general
- Training
- finetuned
Cheapest of 1 route · Fireworks AI
About
The Japanese Stable VLM by Stability AI is a vision-language model that specializes in generating Japanese descriptions for images and providing answers to related questions. It employs an auto-regressive architecture and is trained on a variety of public datasets, excelling in tasks such as image captioning and visual question answering. Tailored for following instructions and producing responses in Japanese that mimic human communication, this model is available for commercial use, distinguishing it from some of Stability AI's earlier models. Users are advised to consider the potential biases and limitations due to the training data.
Japanese Stable VLM is a proprietary model in the Japanese StableLM family. This page tracks provider routes through Fireworks AI, with the cheapest tracked route listed at $0.2 input and $0.2 output per 1M tokens. No headline benchmark score is tracked for Japanese Stable VLM yet.
Top use-case fit
No primary decision-task fit is mapped for this model yet.
Provider price ladder
Compare API pricing across 1 providers for input and output tokens, batch, and cached reads when available.
| Provider | Input / 1M | Output / 1M | Route |
|---|---|---|---|
| Fireworks AI | $0.200 | $0.200 | Provisioned |
Capabilities
No model capability flags are currently sourced.
Benchmark peer barsfor Coding
No task-mapped benchmark peers are available for this model yet.
Migration checks
No linked migration route is available for this model yet.