Using Japanese Stable VLM on Fireworks AI
Implementation guide · Japanese StableLM · Stability AI
Fireworks AI exposes Japanese Stable VLM through model ID japanese-stable-vlm. Use the setup steps, sourced pricing, capabilities, and official provider links below to validate this route before deployment.
Last refreshed 2026-05-22. Next refresh: weekly.
Quick Start
- 1
- 2Use the Fireworks AI SDK or REST API to call
japanese-stable-vlm— see the documentation for request format. - 3
Code Examples
pip install openaiFIREWORKS_API_KEYjapanese-stable-vlmFireworks model IDs use "accounts/fireworks/models/{model-name}" format, e.g. "accounts/fireworks/models/llama4-scout-instruct-basic" or "accounts/fireworks/models/deepseek-r1".
import os
from openai import OpenAI
client = OpenAI(
api_key=os.environ["FIREWORKS_API_KEY"],
base_url="https://api.fireworks.ai/inference/v1"
)
response = client.chat.completions.create(
model="japanese-stable-vlm",
messages=[{"role": "user", "content": "Hello"}]
)
print(response.choices[0].message.content)Pricing on Fireworks AI
| Type | Price (per 1M) |
|---|---|
| Input tokens | $0.20 |
| Output tokens | $0.20 |
Capabilities
No model capability flags are currently sourced.
About Japanese Stable VLM
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.