Last refreshed 2026-05-11. Next refresh: weekly.
Why use Vicuna 7B V1.5 on Together AI?
Together AI offers Vicuna 7B V1.5 with pay-as-you-go pricing at $0.20/1M input tokens. Together AI is a platform for running open-source and proprietary LLMs with fast serverless and dedicated endpoints at competitive inference pricing.
Setup recipe
Python + curlpip install togetherexport TOGETHER_API_KEY=...from together import Together
client = Together() # reads TOGETHER_API_KEY from env
response = client.chat.completions.create(
model="vicuna-7b-v1.5",vicuna-7b-v1.5Request example
from together import Together
client = Together() # reads TOGETHER_API_KEY from env
response = client.chat.completions.create(
model="vicuna-7b-v1.5",
messages=[{"role": "user", "content": "Hello"}]
)
print(response.choices[0].message.content)Gotchas
- Together uses "organization/model-name" format, e.g. "meta-llama/Llama-4-Scout-17B-16E-Instruct" or "Qwen/QwQ-32B". See the Together model catalog for the exact ID.
- The examples expect TOGETHER_API_KEY; rename it only if your application config maps the new variable.
Pricing
| Type | Price (per 1M) |
|---|---|
| Input tokens | $0.20 |
| Output tokens | $0.20 |
Capabilities
About Vicuna 7B V1.5
Vicuna 7B V1.5, created by LMSYS, is a sophisticated language model with 7 billion parameters, rooted in the transformer architecture. It originates from fine-tuning Llama 2 using a dataset of around 125,000 user-shared conversations from ShareGPT, leveraging supervised instruction fine-tuning to boost its conversational prowess. Known for generating coherent and contextually apt responses, this model is apt for natural language processing research, machine learning, and chatbots. However, with a context limitation of 4,096 tokens, its ability to manage lengthy dialogues is somewhat constrained. Despite commendable performance on multiple benchmarks, it achieves about 90% of GPT-4's quality, highlighting a scope for improvement in response accuracy and quality 124.
FAQ
What does Vicuna 7B V1.5 cost on Together AI?
On Together AI, Vicuna 7B V1.5 costs $0.2 per 1M input tokens and $0.2 per 1M output tokens.
What is the context window for Vicuna 7B V1.5 on Together AI?
Vicuna 7B V1.5 supports a 2,000 token context window on Together AI.
Who created Vicuna 7B V1.5?
Vicuna 7B V1.5 was created by LMSYS Org as part of the Vicuna model family.
Is Vicuna 7B V1.5 open source?
Vicuna 7B V1.5's open source status is unknown in the seed data.